uid":"d77ae316-c92d-4281-a84d-9df1dae5797a","timestamp":"2026-02-03T17:15:33.863Z"}
{"parentUuid":"d77ae316-c92d-4281-a84d-9df1dae5797a","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Edit","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_0122gsk2CW2xbNH3PbQK1ybZ","parentToolUseID":"toolu_0122gsk2CW2xbNH3PbQK1ybZ","uuid":"36d42f4b-160a-4a62-9ae3-06c2e7b2e463","timestamp":"2026-02-03T17:15:33.865Z"}
{"parentUuid":"36d42f4b-160a-4a62-9ae3-06c2e7b2e463","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_0122gsk2CW2xbNH3PbQK1ybZ","toolUseID":"toolu_0122gsk2CW2xbNH3PbQK1ybZ","timestamp":"2026-02-03T17:15:33.938Z","uuid":"abe0ed11-423d-46af-96da-8b4cc4a8d3f7"}
{"parentUuid":"abe0ed11-423d-46af-96da-8b4cc4a8d3f7","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_0122gsk2CW2xbNH3PbQK1ybZ","toolUseID":"toolu_0122gsk2CW2xbNH3PbQK1ybZ","timestamp":"2026-02-03T17:15:33.938Z","uuid":"5885826f-7fe5-4a6d-bfd3-bae17e3099b5"}
{"parentUuid":"d77ae316-c92d-4281-a84d-9df1dae5797a","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_0122gsk2CW2xbNH3PbQK1ybZ","type":"tool_result","content":"The file /home/josie/development/personal/mooo/src/main.rs has been updated successfully."}]},"uuid":"f8f5a7cd-439e-4242-8358-c10854f35a32","timestamp":"2026-02-03T17:15:33.937Z","toolUseResult":{"filePath":"/home/josie/development/personal/mooo/src/main.rs","oldString":"        match content {\n            Some(ref c) if !c.trim().is_empty() => {\n                let (sim, exact) = compare_cows(&reference, c);\n                if exact {\n                    println!(\"        >>> EXACT MATCH (via {})\", source);\n                    matches.push((url.to_string(), sim, exact));\n                } else if sim >= args.threshold {\n                    println!(\n                        \"        >>> Close match: similarity={:.1}% (via {})\",\n                        sim * 100.0,\n                        source\n                    );\n                    matches.push((url.to_string(), sim, exact));\n                } else {\n                    println!(\"        [x] Different cow (similarity={:.1}%)\", sim * 100.0);\n                }\n            }\n            _ => {\n                println!(\"        [!] Could not retrieve content\");\n            }\n        }","newString":"        match content {\n            Some(ref c) if !c.trim().is_empty() => {\n                let (sim, exact) = compare_cows(&reference, c);\n                if exact {\n                    println!(\"        >>> EXACT MATCH (via {})\", fetch_method);\n                    matches.push((url.to_string(), sim, exact));\n                } else if sim >= args.threshold {\n                    println!(\n                        \"        >>> Close match: similarity={:.1}% (via {})\",\n                        sim * 100.0,\n                        fetch_method\n                    );\n                    matches.push((url.to_string(), sim, exact));\n                } else {\n                    println!(\"        [x] Different cow (similarity={:.1}%)\", sim * 100.0);\n                }\n            }\n            _ => {\n                println!(\"        [!] Could not retrieve content\");\n            }\n        }","originalFile":"use std::collections::HashMap;\nuse std::io::Read;\nuse std::path::PathBuf;\nuse std::thread;\nuse std::time::Duration;\n\nuse clap::Parser;\nuse flate2::read::GzDecoder;\nuse reqwest::blocking::Client;\nuse reqwest::header::{HeaderMap, HeaderValue, RANGE, USER_AGENT};\nuse serde::Deserialize;\nuse sha2::{Digest, Sha256};\n\nconst CC_INDEX_LIST: &str = \"https://index.commoncrawl.org/collinfo.json\";\nconst CC_WARC_PREFIX: &str = \"https://data.commoncrawl.org/\";\nconst REFERENCE_URL: &str = \"https://josie.lol/cow.txt\";\nconst UA: &str = \"CowFinder/1.0 (looking for cow.txt; contact: hi@josie.lol)\";\n\n#[derive(Parser)]\n#[command(name = \"find_my_cow\")]\n#[command(about = \"Search Common Crawl and Wayback Machine for /cow.txt and compare against a reference cow\")]\nstruct Args {\n    /// Only search the N most recent crawl indices (Common Crawl only)\n    #[arg(long)]\n    latest: Option<usize>,\n\n    /// Just list discovered URLs, don't fetch/compare\n    #[arg(long)]\n    list_only: bool,\n\n    /// Path to local reference cow.txt file\n    #[arg(long)]\n    reference: Option<PathBuf>,\n\n    /// Also try fetching URLs live (in addition to archived content)\n    #[arg(long)]\n    fetch_live: bool,\n\n    /// Similarity threshold to flag as potential match (0.0-1.0)\n    #[arg(long, default_value_t = 0.8)]\n    threshold: f64,\n\n    /// Data sources to search: \"cc\", \"wayback\", or \"all\"\n    #[arg(long, default_value = \"all\")]\n    sources: String,\n}\n\n#[derive(Deserialize)]\nstruct CcIndex {\n    id: String,\n}\n\n#[derive(Clone)]\nenum RecordSource {\n    CommonCrawl,\n    Wayback,\n}\n\n#[derive(Deserialize, Clone)]\nstruct CdxRecord {\n    url: Option<String>,\n    status: Option<String>,\n    timestamp: Option<String>,\n    mime: Option<String>,\n    filename: Option<String>,\n    offset: Option<String>,\n    length: Option<String>,\n    #[serde(skip)]\n    source: Option<RecordSource>,\n}\n\nfn build_client() -> Client {\n    let mut headers = HeaderMap::new();\n    headers.insert(USER_AGENT, HeaderValue::from_static(UA));\n    Client::builder()\n        .default_headers(headers)\n        .timeout(Duration::from_secs(15))\n        .build()\n        .expect(\"failed to build HTTP client\")\n}\n\nfn get_reference_cow(client: &Client, path: Option<&PathBuf>) -> String {\n    if let Some(p) = path {\n        println!(\"[*] Loading reference cow from {}\", p.display());\n        return std::fs::read_to_string(p).expect(\"failed to read reference file\");\n    }\n\n    println!(\"[*] Fetching reference cow from {}\", REFERENCE_URL);\n    let resp = client\n        .get(REFERENCE_URL)\n        .send()\n        .expect(\"failed to fetch reference cow\");\n    resp.text().expect(\"failed to read reference cow body\")\n}\n\nfn get_cc_indices(client: &Client, latest: Option<usize>) -> Vec<CcIndex> {\n    println!(\"[*] Fetching Common Crawl index list...\");\n    let resp = client\n        .get(CC_INDEX_LIST)\n        .send()\n        .expect(\"failed to fetch CC index list\");\n    let mut indices: Vec<CcIndex> = resp.json().expect(\"failed to parse CC index list\");\n    println!(\"    Found {} crawl indices\", indices.len());\n\n    if let Some(n) = latest {\n        indices.truncate(n);\n        let ids: Vec<&str> = indices.iter().map(|i| i.id.as_str()).collect();\n        println!(\"    Using latest {}: {}\", n, ids.join(\", \"));\n    }\n\n    indices\n}\n\nfn search_cdx_index(client: &Client, index_id: &str) -> Vec<CdxRecord> {\n    let url = format!(\n        \"https://index.commoncrawl.org/{}-index?url=*.*/cow.txt&output=json&limit=500\",\n        index_id\n    );\n\n    let resp = match client.get(&url).timeout(Duration::from_secs(30)).send() {\n        Ok(r) => r,\n        Err(e) => {\n            println!(\"    [!] Error querying {}: {}\", index_id, e);\n            return Vec::new();\n        }\n    };\n\n    if resp.status() == reqwest::StatusCode::NOT_FOUND {\n        return Vec::new();\n    }\n\n    let body = match resp.text() {\n        Ok(t) => t,\n        Err(_) => return Vec::new(),\n    };\n\n    body.lines()\n        .filter(|line| !line.trim().is_empty())\n        .filter_map(|line| serde_json::from_str::<CdxRecord>(line).ok())\n        .collect()\n}\n\nfn search_wayback_cdx(client: &Client) -> Vec<CdxRecord> {\n    let url = \"http://web.archive.org/cdx/search/cdx?url=*.*/cow.txt&output=json&fl=original,timestamp,statuscode,mimetype,digest&collapse=urlkey&limit=1000\";\n\n    let resp = match client.get(url).timeout(Duration::from_secs(60)).send() {\n        Ok(r) => r,\n        Err(e) => {\n            println!(\"    [!] Error querying Wayback Machine: {}\", e);\n            return Vec::new();\n        }\n    };\n\n    if !resp.status().is_success() {\n        println!(\n            \"    [!] Wayback Machine returned status {}\",\n            resp.status()\n        );\n        return Vec::new();\n    }\n\n    let body = match resp.text() {\n        Ok(t) => t,\n        Err(_) => return Vec::new(),\n    };\n\n    let rows: Vec<Vec<String>> = match serde_json::from_str(&body) {\n        Ok(r) => r,\n        Err(e) => {\n            println!(\"    [!] Failed to parse Wayback response: {}\", e);\n            return Vec::new();\n        }\n    };\n\n    if rows.is_empty() {\n        return Vec::new();\n    }\n\n    rows.iter()\n        .skip(1)\n        .filter_map(|row| {\n            if row.len() >= 4 {\n                Some(CdxRecord {\n                    url: Some(row[0].clone()),\n                    timestamp: Some(row[1].clone()),\n                    status: Some(row[2].clone()),\n                    mime: Some(row[3].clone()),\n                    filename: None,\n                    offset: None,\n                    length: None,\n                    source: Some(RecordSource::Wayback),\n                })\n            } else {\n                None\n            }\n        })\n        .collect()\n}\n\nfn fetch_from_wayback(client: &Client, url: &str, timestamp: &str) -> Option<String> {\n    let wayback_url = format!(\"http://web.archive.org/web/{}id_/{}\", timestamp, url);\n\n    let resp = client\n        .get(&wayback_url)\n        .timeout(Duration::from_secs(30))\n        .send()\n        .ok()?;\n\n    if !resp.status().is_success() {\n        return None;\n    }\n\n    resp.text().ok()\n}\n\nfn dedupe_results(results: Vec<CdxRecord>) -> HashMap<String, CdxRecord> {\n    let mut by_url: HashMap<String, CdxRecord> = HashMap::new();\n    for r in results {\n        let url = match &r.url {\n            Some(u) => u.clone(),\n            None => continue,\n        };\n        let dominated = by_url\n            .get(&url)\n            .map(|existing| {\n                r.timestamp.as_deref().unwrap_or(\"\")\n                    > existing.timestamp.as_deref().unwrap_or(\"\")\n            })\n            .unwrap_or(true);\n        if dominated {\n            by_url.insert(url, r);\n        }\n    }\n    by_url\n}\n\nfn fetch_from_cc_warc(client: &Client, record: &CdxRecord) -> Option<String> {\n    let filename = record.filename.as_deref()?;\n    let offset: u64 = record.offset.as_deref()?.parse().ok()?;\n    let length: u64 = record.length.as_deref()?.parse().ok()?;\n\n    if length == 0 {\n        return None;\n    }\n\n    let warc_url = format!(\"{}{}\", CC_WARC_PREFIX, filename);\n    let range = format!(\"bytes={}-{}\", offset, offset + length - 1);\n\n    let resp = client\n        .get(&warc_url)\n        .header(RANGE, &range)\n        .send()\n        .ok()?;\n\n    let status = resp.status().as_u16();\n    if status != 200 && status != 206 {\n        return None;\n    }\n\n    let raw = resp.bytes().ok()?;\n\n    // try gzip decompress\n    let data = {\n        let mut decoder = GzDecoder::new(&raw[..]);\n        let mut buf = Vec::new();\n        match decoder.read_to_end(&mut buf) {\n            Ok(_) => buf,\n            Err(_) => raw.to_vec(),\n        }\n    };\n\n    let text = String::from_utf8_lossy(&data).into_owned();\n\n    // WARC record: WARC header \\r\\n\\r\\n HTTP header \\r\\n\\r\\n body\n    let parts: Vec<&str> = text.splitn(3, \"\\r\\n\\r\\n\").collect();\n    match parts.len() {\n        3 => Some(parts[2].to_string()),\n        2 => Some(parts[1].to_string()),\n        _ => Some(text),\n    }\n}\n\nfn fetch_live(client: &Client, url: &str) -> Option<String> {\n    let resp = client.get(url).send().ok()?;\n    if resp.status().is_success() {\n        resp.text().ok()\n    } else {\n        None\n    }\n}\n\nfn normalize(text: &str) -> String {\n    let mut lines: Vec<&str> = text.lines().map(|l| l.trim_end()).collect();\n\n    // strip leading blank lines\n    while lines.first().map_or(false, |l| l.trim().is_empty()) {\n        lines.remove(0);\n    }\n    // strip trailing blank lines\n    while lines.last().map_or(false, |l| l.trim().is_empty()) {\n        lines.pop();\n    }\n\n    lines.join(\"\\n\")\n}\n\nfn sha256_hex(s: &str) -> String {\n    let mut hasher = Sha256::new();\n    hasher.update(s.as_bytes());\n    format!(\"{:x}\", hasher.finalize())\n}\n\nfn similarity(a: &str, b: &str) -> f64 {\n    // simple longest-common-subsequence based ratio,\n    // similar to Python's SequenceMatcher.ratio()\n    if a.is_empty() && b.is_empty() {\n        return 1.0;\n    }\n    if a.is_empty() || b.is_empty() {\n        return 0.0;\n    }\n\n    let a_bytes = a.as_bytes();\n    let b_bytes = b.as_bytes();\n    let m = a_bytes.len();\n    let n = b_bytes.len();\n\n    // for very large texts, just compare hashes\n    if m > 100_000 || n > 100_000 {\n        return if sha256_hex(a) == sha256_hex(b) {\n            1.0\n        } else {\n            0.0\n        };\n    }\n\n    // LCS length via two-row DP\n    let mut prev = vec![0u32; n + 1];\n    let mut curr = vec![0u32; n + 1];\n\n    for i in 1..=m {\n        for j in 1..=n {\n            if a_bytes[i - 1] == b_bytes[j - 1] {\n                curr[j] = prev[j - 1] + 1;\n            } else {\n                curr[j] = prev[j].max(curr[j - 1]);\n            }\n        }\n        std::mem::swap(&mut prev, &mut curr);\n        curr.fill(0);\n    }\n\n    let lcs_len = prev[n] as f64;\n    2.0 * lcs_len / (m + n) as f64\n}\n\nfn compare_cows(reference: &str, candidate: &str) -> (f64, bool) {\n    let ref_norm = normalize(reference);\n    let cand_norm = normalize(candidate);\n\n    let ref_hash = sha256_hex(&ref_norm);\n    let cand_hash = sha256_hex(&cand_norm);\n\n    if ref_hash == cand_hash {\n        return (1.0, true);\n    }\n\n    let ratio = similarity(&ref_norm, &cand_norm);\n    (ratio, false)\n}\n\nfn main() {\n    let args = Args::parse();\n    let client = build_client();\n\n    println!(\"{}\", \"=\".repeat(60));\n    println!(\"  cow.txt finder -- powered by Common Crawl + Wayback Machine\");\n    println!(\"{}\", \"=\".repeat(60));\n    println!();\n\n    let use_cc = args.sources == \"cc\" || args.sources == \"all\";\n    let use_wayback = args.sources == \"wayback\" || args.sources == \"all\";\n\n    if !use_cc && !use_wayback {\n        println!(\"[!] Invalid --sources value. Use 'cc', 'wayback', or 'all'.\");\n        return;\n    }\n\n    println!(\"[*] Sources: {}\", args.sources);\n\n    // 1. reference cow\n    let reference = if !args.list_only {\n        let cow = get_reference_cow(&client, args.reference.as_ref());\n        let hash = sha256_hex(&normalize(&cow));\n        println!(\"    Reference cow hash: {}...\", &hash[..16]);\n        println!(\"    Reference cow size: {} bytes\", cow.len());\n        println!();\n        Some(cow)\n    } else {\n        None\n    };\n\n    // 2. Search indices\n    let mut all_results = Vec::new();\n\n    if use_cc {\n        let indices = get_cc_indices(&client, args.latest);\n        println!();\n\n        let total = indices.len();\n        for (i, idx) in indices.iter().enumerate() {\n            print!(\"[{}/{}] Searching {}... \", i + 1, total, idx.id);\n            let mut results = search_cdx_index(&client, &idx.id);\n            for r in &mut results {\n                r.source = Some(RecordSource::CommonCrawl);\n            }\n            println!(\"found {} URL(s)\", results.len());\n            all_results.extend(results);\n            thread::sleep(Duration::from_millis(300));\n        }\n        println!();\n    }\n\n    if use_wayback {\n        print!(\"[*] Searching Wayback Machine CDX... \");\n        let results = search_wayback_cdx(&client);\n        println!(\"found {} URL(s)\", results.len());\n        all_results.extend(results);\n        println!();\n    }\n\n    let unique = dedupe_results(all_results);\n    println!(\"[*] Total unique cow.txt URLs found: {}\", unique.len());\n    println!();\n\n    if unique.is_empty() {\n        println!(\"No cow.txt files found. Moo.\");\n        return;\n    }\n\n    // 4. list\n    let mut sorted_urls: Vec<_> = unique.iter().collect();\n    sorted_urls.sort_by_key(|(url, _)| url.clone());\n\n    println!(\"{}\", \"-\".repeat(60));\n    println!(\"  Discovered cow.txt URLs:\");\n    println!(\"{}\", \"-\".repeat(60));\n    for (url, record) in &sorted_urls {\n        let status = record.status.as_deref().unwrap_or(\"?\");\n        let ts = record.timestamp.as_deref().unwrap_or(\"?\");\n        let mime = record.mime.as_deref().unwrap_or(\"?\");\n        println!(\"  [{}] {}\", status, url);\n        println!(\"        crawled: {}  mime: {}\", ts, mime);\n    }\n    println!();\n\n    if args.list_only {\n        return;\n    }\n\n    let reference = reference.unwrap();\n\n    // 5. fetch and compare\n    println!(\"{}\", \"-\".repeat(60));\n    println!(\"  Fetching and comparing against reference cow...\");\n    println!(\"{}\", \"-\".repeat(60));\n    println!();\n\n    let mut matches: Vec<(String, f64, bool)> = Vec::new();\n\n    for (url, record) in &sorted_urls {\n        if url.contains(\"josie.lol\") {\n            println!(\"  [skip] {} (that's us)\", url);\n            continue;\n        }\n\n        let status = record.status.as_deref().unwrap_or(\"0\");\n        if !status.starts_with('2') {\n            println!(\"  [skip] {} (status {})\", url, status);\n            continue;\n        }\n\n        let source_name = match record.source {\n            Some(RecordSource::CommonCrawl) => \"CC\",\n            Some(RecordSource::Wayback) => \"WB\",\n            None => \"??\",\n        };\n        println!(\"  [fetch] {} [{}]\", url, source_name);\n\n        let mut content: Option<String> = None;\n        let mut fetch_method = \"unknown\";\n\n        match record.source {\n            Some(RecordSource::CommonCrawl) => {\n                content = fetch_from_cc_warc(&client, record);\n                fetch_method = \"CC WARC\";\n            }\n            Some(RecordSource::Wayback) => {\n                if let Some(ts) = &record.timestamp {\n                    content = fetch_from_wayback(&client, url, ts);\n                    fetch_method = \"Wayback\";\n                }\n            }\n            None => {}\n        }\n\n        if content.as_ref().map_or(true, |c| c.trim().is_empty()) && args.fetch_live {\n            content = fetch_live(&client, url);\n            fetch_method = \"live fetch\";\n        }\n\n        match content {\n            Some(ref c) if !c.trim().is_empty() => {\n                let (sim, exact) = compare_cows(&reference, c);\n                if exact {\n                    println!(\"        >>> EXACT MATCH (via {})\", source);\n                    matches.push((url.to_string(), sim, exact));\n                } else if sim >= args.threshold {\n                    println!(\n                        \"        >>> Close match: similarity={:.1}% (via {})\",\n                        sim * 100.0,\n                        source\n                    );\n                    matches.push((url.to_string(), sim, exact));\n                } else {\n                    println!(\"        [x] Different cow (similarity={:.1}%)\", sim * 100.0);\n                }\n            }\n            _ => {\n                println!(\"        [!] Could not retrieve content\");\n            }\n        }\n\n        thread::sleep(Duration::from_millis(500));\n    }\n\n    // 6. summary\n    println!();\n    println!(\"{}\", \"=\".repeat(60));\n    println!(\"  Results\");\n    println!(\"{}\", \"=\".repeat(60));\n    if matches.is_empty() {\n        println!(\"  No matching cows found. Your cow is one of a kind.\");\n    } else {\n        println!(\"  Found {} matching cow(s)!\", matches.len());\n        for (url, sim, exact) in &matches {\n            if *exact {\n                println!(\"  [EXACT] {}\", url);\n            } else {\n                println!(\"  [{:.1}%] {}\", sim * 100.0, url);\n            }\n        }\n    }\n    println!();\n}\n","structuredPatch":[{"oldStart":513,"oldLines":13,"newStart":513,"newLines":13,"lines":["             Some(ref c) if !c.trim().is_empty() => {","                 let (sim, exact) = compare_cows(&reference, c);","                 if exact {","-                    println!(\"        >>> EXACT MATCH (via {})\", source);","+                    println!(\"        >>> EXACT MATCH (via {})\", fetch_method);","                     matches.push((url.to_string(), sim, exact));","                 } else if sim >= args.threshold {","                     println!(","                         \"        >>> Close match: similarity={:.1}% (via {})\",","                         sim * 100.0,","-                        source","+                        fetch_method","                     );","                     matches.push((url.to_string(), sim, exact));","                 } else {"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"d77ae316-c92d-4281-a84d-9df1dae5797a"}
{"parentUuid":"f8f5a7cd-439e-4242-8358-c10854f35a32","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","message":{"model":"claude-opus-4-5-20251101","id":"msg_01DVsFvB3CBx4eEvmkfECqhV","type":"message","role":"assistant","content":[{"type":"text","text":"Now let me verify the file compiles:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":593,"cache_read_input_tokens":33232,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":593},"output_tokens":4,"service_tier":"standard"}},"requestId":"req_011CXmWiY4apuXcJtJRnA8th","type":"assistant","uuid":"ca205016-a786-47ce-a133-0279019ac06c","timestamp":"2026-02-03T17:15:36.692Z"}
{"parentUuid":"ca205016-a786-47ce-a133-0279019ac06c","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","message":{"model":"claude-opus-4-5-20251101","id":"msg_01DVsFvB3CBx4eEvmkfECqhV","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WR1DKmo7wKuk9YD4RtzV5V","name":"Bash","input":{"command":"cargo build 2>&1","description":"Build the project to check for errors"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":593,"cache_read_input_tokens":33232,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":593},"output_tokens":4,"service_tier":"standard"}},"requestId":"req_011CXmWiY4apuXcJtJRnA8th","type":"assistant","uuid":"cf7a0e0c-d9f0-4a2c-b560-ac6b656e520e","timestamp":"2026-02-03T17:15:37.999Z"}
{"parentUuid":"cf7a0e0c-d9f0-4a2c-b560-ac6b656e520e","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Bash","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01WR1DKmo7wKuk9YD4RtzV5V","parentToolUseID":"toolu_01WR1DKmo7wKuk9YD4RtzV5V","uuid":"78d9ea99-93cd-4544-816e-bb3d1245307a","timestamp":"2026-02-03T17:15:38.002Z"}
{"parentUuid":"78d9ea99-93cd-4544-816e-bb3d1245307a","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Bash","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01WR1DKmo7wKuk9YD4RtzV5V","toolUseID":"toolu_01WR1DKmo7wKuk9YD4RtzV5V","timestamp":"2026-02-03T17:15:50.095Z","uuid":"f1e324aa-f46a-483c-9e37-1e083c600832"}
{"parentUuid":"cf7a0e0c-d9f0-4a2c-b560-ac6b656e520e","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01WR1DKmo7wKuk9YD4RtzV5V","type":"tool_result","content":"   Compiling find_my_cow v0.1.0 (/home/josie/development/personal/mooo)\nwarning: using `.clone()` on a double reference, which returns `&std::string::String` instead of cloning the inner type\n   --> src/main.rs:443:43\n    |\n443 |     sorted_urls.sort_by_key(|(url, _)| url.clone());\n    |                                           ^^^^^^^^\n    |\n    = note: `#[warn(suspicious_double_ref_op)]` on by default\n\nwarning: `find_my_cow` (bin \"find_my_cow\") generated 1 warning\n    Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.66s","is_error":false}]},"uuid":"84e95819-c524-4874-b243-95e518a06db4","timestamp":"2026-02-03T17:15:50.093Z","toolUseResult":{"stdout":"   Compiling find_my_cow v0.1.0 (/home/josie/development/personal/mooo)\nwarning: using `.clone()` on a double reference, which returns `&std::string::String` instead of cloning the inner type\n   --> src/main.rs:443:43\n    |\n443 |     sorted_urls.sort_by_key(|(url, _)| url.clone());\n    |                                           ^^^^^^^^\n    |\n    = note: `#[warn(suspicious_double_ref_op)]` on by default\n\nwarning: `find_my_cow` (bin \"find_my_cow\") generated 1 warning\n    Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.66s","stderr":"","interrupted":false,"isImage":false},"sourceToolAssistantUUID":"cf7a0e0c-d9f0-4a2c-b560-ac6b656e520e"}
{"parentUuid":"84e95819-c524-4874-b243-95e518a06db4","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","message":{"model":"claude-opus-4-5-20251101","id":"msg_01QmZkbe2pMAeTB9HjqeTXES","type":"message","role":"assistant","content":[{"type":"text","text":"Builds successfully. Let me fix that warning:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":286,"cache_read_input_tokens":33825,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":286},"output_tokens":2,"service_tier":"standard"}},"requestId":"req_011CXmWjjdP3VgB3qDz3jL2P","type":"assistant","uuid":"2d13542d-7d13-4a93-b8df-53dee23cf49f","timestamp":"2026-02-03T17:15:53.668Z"}
{"parentUuid":"2d13542d-7d13-4a93-b8df-53dee23cf49f","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","message":{"model":"claude-opus-4-5-20251101","id":"msg_01QmZkbe2pMAeTB9HjqeTXES","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01DnK6kVZWhUhYKRp4MP9T3C","name":"Grep","input":{"pattern":"sorted_urls.sort_by_key","path":"/home/josie/development/personal/mooo/src/main.rs","output_mode":"content"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":286,"cache_read_input_tokens":33825,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":286},"output_tokens":2,"service_tier":"standard"}},"requestId":"req_011CXmWjjdP3VgB3qDz3jL2P","type":"assistant","uuid":"0548ca60-e5ed-4262-8715-cd9c591cd4b5","timestamp":"2026-02-03T17:15:54.800Z"}
{"parentUuid":"0548ca60-e5ed-4262-8715-cd9c591cd4b5","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Grep","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01DnK6kVZWhUhYKRp4MP9T3C","parentToolUseID":"toolu_01DnK6kVZWhUhYKRp4MP9T3C","uuid":"988e895f-88ab-4f2a-8512-b8ee928a0623","timestamp":"2026-02-03T17:15:54.804Z"}
{"parentUuid":"988e895f-88ab-4f2a-8512-b8ee928a0623","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01DnK6kVZWhUhYKRp4MP9T3C","toolUseID":"toolu_01DnK6kVZWhUhYKRp4MP9T3C","timestamp":"2026-02-03T17:15:55.174Z","uuid":"32476cc3-9df5-420f-b1dd-aa09ebe7313f"}
{"parentUuid":"32476cc3-9df5-420f-b1dd-aa09ebe7313f","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Grep","command":"callback"},"parentToolUseID":"toolu_01DnK6kVZWhUhYKRp4MP9T3C","toolUseID":"toolu_01DnK6kVZWhUhYKRp4MP9T3C","timestamp":"2026-02-03T17:15:55.174Z","uuid":"3d770934-fca2-4a5b-b590-f67d49b534fe"}
{"parentUuid":"0548ca60-e5ed-4262-8715-cd9c591cd4b5","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01DnK6kVZWhUhYKRp4MP9T3C","type":"tool_result","content":"443:    sorted_urls.sort_by_key(|(url, _)| url.clone());"}]},"uuid":"8edc848e-6e06-47fe-be1a-5dce80e4fbd1","timestamp":"2026-02-03T17:15:55.173Z","toolUseResult":{"mode":"content","numFiles":0,"filenames":[],"content":"443:    sorted_urls.sort_by_key(|(url, _)| url.clone());","numLines":1},"sourceToolAssistantUUID":"0548ca60-e5ed-4262-8715-cd9c591cd4b5"}
{"parentUuid":"8edc848e-6e06-47fe-be1a-5dce80e4fbd1","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","message":{"model":"claude-opus-4-5-20251101","id":"msg_01R552oyKxi8suTnUnsMnCJy","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01S8qCEDZtbGjYY3oYy3GV6G","name":"Edit","input":{"replace_all":false,"file_path":"/home/josie/development/personal/mooo/src/main.rs","old_string":"    sorted_urls.sort_by_key(|(url, _)| url.clone());","new_string":"    sorted_urls.sort_by_key(|(url, _)| (*url).clone());"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":159,"cache_read_input_tokens":34111,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":159},"output_tokens":25,"service_tier":"standard"}},"requestId":"req_011CXmWk9gk2AdPVJJAtWBMg","type":"assistant","uuid":"b8f583ad-560d-41b5-9bdc-51844ad1f891","timestamp":"2026-02-03T17:15:59.302Z"}
{"parentUuid":"b8f583ad-560d-41b5-9bdc-51844ad1f891","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Edit","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01S8qCEDZtbGjYY3oYy3GV6G","parentToolUseID":"toolu_01S8qCEDZtbGjYY3oYy3GV6G","uuid":"9c664d41-abd0-417a-af4b-f5297e243839","timestamp":"2026-02-03T17:15:59.303Z"}
{"parentUuid":"9c664d41-abd0-417a-af4b-f5297e243839","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01S8qCEDZtbGjYY3oYy3GV6G","toolUseID":"toolu_01S8qCEDZtbGjYY3oYy3GV6G","timestamp":"2026-02-03T17:15:59.381Z","uuid":"6715a0a3-f91e-4f50-bf29-262e3c6cd094"}
{"parentUuid":"6715a0a3-f91e-4f50-bf29-262e3c6cd094","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Edit","command":"callback"},"parentToolUseID":"toolu_01S8qCEDZtbGjYY3oYy3GV6G","toolUseID":"toolu_01S8qCEDZtbGjYY3oYy3GV6G","timestamp":"2026-02-03T17:15:59.381Z","uuid":"a5951603-69cf-405c-b333-82a2b6d9bd73"}
{"parentUuid":"b8f583ad-560d-41b5-9bdc-51844ad1f891","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01S8qCEDZtbGjYY3oYy3GV6G","type":"tool_result","content":"The file /home/josie/development/personal/mooo/src/main.rs has been updated successfully."}]},"uuid":"8c776e2e-48c2-4130-a929-87572eae8c95","timestamp":"2026-02-03T17:15:59.380Z","toolUseResult":{"filePath":"/home/josie/development/personal/mooo/src/main.rs","oldString":"    sorted_urls.sort_by_key(|(url, _)| url.clone());","newString":"    sorted_urls.sort_by_key(|(url, _)| (*url).clone());","originalFile":"use std::collections::HashMap;\nuse std::io::Read;\nuse std::path::PathBuf;\nuse std::thread;\nuse std::time::Duration;\n\nuse clap::Parser;\nuse flate2::read::GzDecoder;\nuse reqwest::blocking::Client;\nuse reqwest::header::{HeaderMap, HeaderValue, RANGE, USER_AGENT};\nuse serde::Deserialize;\nuse sha2::{Digest, Sha256};\n\nconst CC_INDEX_LIST: &str = \"https://index.commoncrawl.org/collinfo.json\";\nconst CC_WARC_PREFIX: &str = \"https://data.commoncrawl.org/\";\nconst REFERENCE_URL: &str = \"https://josie.lol/cow.txt\";\nconst UA: &str = \"CowFinder/1.0 (looking for cow.txt; contact: hi@josie.lol)\";\n\n#[derive(Parser)]\n#[command(name = \"find_my_cow\")]\n#[command(about = \"Search Common Crawl and Wayback Machine for /cow.txt and compare against a reference cow\")]\nstruct Args {\n    /// Only search the N most recent crawl indices (Common Crawl only)\n    #[arg(long)]\n    latest: Option<usize>,\n\n    /// Just list discovered URLs, don't fetch/compare\n    #[arg(long)]\n    list_only: bool,\n\n    /// Path to local reference cow.txt file\n    #[arg(long)]\n    reference: Option<PathBuf>,\n\n    /// Also try fetching URLs live (in addition to archived content)\n    #[arg(long)]\n    fetch_live: bool,\n\n    /// Similarity threshold to flag as potential match (0.0-1.0)\n    #[arg(long, default_value_t = 0.8)]\n    threshold: f64,\n\n    /// Data sources to search: \"cc\", \"wayback\", or \"all\"\n    #[arg(long, default_value = \"all\")]\n    sources: String,\n}\n\n#[derive(Deserialize)]\nstruct CcIndex {\n    id: String,\n}\n\n#[derive(Clone)]\nenum RecordSource {\n    CommonCrawl,\n    Wayback,\n}\n\n#[derive(Deserialize, Clone)]\nstruct CdxRecord {\n    url: Option<String>,\n    status: Option<String>,\n    timestamp: Option<String>,\n    mime: Option<String>,\n    filename: Option<String>,\n    offset: Option<String>,\n    length: Option<String>,\n    #[serde(skip)]\n    source: Option<RecordSource>,\n}\n\nfn build_client() -> Client {\n    let mut headers = HeaderMap::new();\n    headers.insert(USER_AGENT, HeaderValue::from_static(UA));\n    Client::builder()\n        .default_headers(headers)\n        .timeout(Duration::from_secs(15))\n        .build()\n        .expect(\"failed to build HTTP client\")\n}\n\nfn get_reference_cow(client: &Client, path: Option<&PathBuf>) -> String {\n    if let Some(p) = path {\n        println!(\"[*] Loading reference cow from {}\", p.display());\n        return std::fs::read_to_string(p).expect(\"failed to read reference file\");\n    }\n\n    println!(\"[*] Fetching reference cow from {}\", REFERENCE_URL);\n    let resp = client\n        .get(REFERENCE_URL)\n        .send()\n        .expect(\"failed to fetch reference cow\");\n    resp.text().expect(\"failed to read reference cow body\")\n}\n\nfn get_cc_indices(client: &Client, latest: Option<usize>) -> Vec<CcIndex> {\n    println!(\"[*] Fetching Common Crawl index list...\");\n    let resp = client\n        .get(CC_INDEX_LIST)\n        .send()\n        .expect(\"failed to fetch CC index list\");\n    let mut indices: Vec<CcIndex> = resp.json().expect(\"failed to parse CC index list\");\n    println!(\"    Found {} crawl indices\", indices.len());\n\n    if let Some(n) = latest {\n        indices.truncate(n);\n        let ids: Vec<&str> = indices.iter().map(|i| i.id.as_str()).collect();\n        println!(\"    Using latest {}: {}\", n, ids.join(\", \"));\n    }\n\n    indices\n}\n\nfn search_cdx_index(client: &Client, index_id: &str) -> Vec<CdxRecord> {\n    let url = format!(\n        \"https://index.commoncrawl.org/{}-index?url=*.*/cow.txt&output=json&limit=500\",\n        index_id\n    );\n\n    let resp = match client.get(&url).timeout(Duration::from_secs(30)).send() {\n        Ok(r) => r,\n        Err(e) => {\n            println!(\"    [!] Error querying {}: {}\", index_id, e);\n            return Vec::new();\n        }\n    };\n\n    if resp.status() == reqwest::StatusCode::NOT_FOUND {\n        return Vec::new();\n    }\n\n    let body = match resp.text() {\n        Ok(t) => t,\n        Err(_) => return Vec::new(),\n    };\n\n    body.lines()\n        .filter(|line| !line.trim().is_empty())\n        .filter_map(|line| serde_json::from_str::<CdxRecord>(line).ok())\n        .collect()\n}\n\nfn search_wayback_cdx(client: &Client) -> Vec<CdxRecord> {\n    let url = \"http://web.archive.org/cdx/search/cdx?url=*.*/cow.txt&output=json&fl=original,timestamp,statuscode,mimetype,digest&collapse=urlkey&limit=1000\";\n\n    let resp = match client.get(url).timeout(Duration::from_secs(60)).send() {\n        Ok(r) => r,\n        Err(e) => {\n            println!(\"    [!] Error querying Wayback Machine: {}\", e);\n            return Vec::new();\n        }\n    };\n\n    if !resp.status().is_success() {\n        println!(\n            \"    [!] Wayback Machine returned status {}\",\n            resp.status()\n        );\n        return Vec::new();\n    }\n\n    let body = match resp.text() {\n        Ok(t) => t,\n        Err(_) => return Vec::new(),\n    };\n\n    let rows: Vec<Vec<String>> = match serde_json::from_str(&body) {\n        Ok(r) => r,\n        Err(e) => {\n            println!(\"    [!] Failed to parse Wayback response: {}\", e);\n            return Vec::new();\n        }\n    };\n\n    if rows.is_empty() {\n        return Vec::new();\n    }\n\n    rows.iter()\n        .skip(1)\n        .filter_map(|row| {\n            if row.len() >= 4 {\n                Some(CdxRecord {\n                    url: Some(row[0].clone()),\n                    timestamp: Some(row[1].clone()),\n                    status: Some(row[2].clone()),\n                    mime: Some(row[3].clone()),\n                    filename: None,\n                    offset: None,\n                    length: None,\n                    source: Some(RecordSource::Wayback),\n                })\n            } else {\n                None\n            }\n        })\n        .collect()\n}\n\nfn fetch_from_wayback(client: &Client, url: &str, timestamp: &str) -> Option<String> {\n    let wayback_url = format!(\"http://web.archive.org/web/{}id_/{}\", timestamp, url);\n\n    let resp = client\n        .get(&wayback_url)\n        .timeout(Duration::from_secs(30))\n        .send()\n        .ok()?;\n\n    if !resp.status().is_success() {\n        return None;\n    }\n\n    resp.text().ok()\n}\n\nfn dedupe_results(results: Vec<CdxRecord>) -> HashMap<String, CdxRecord> {\n    let mut by_url: HashMap<String, CdxRecord> = HashMap::new();\n    for r in results {\n        let url = match &r.url {\n            Some(u) => u.clone(),\n            None => continue,\n        };\n        let dominated = by_url\n            .get(&url)\n            .map(|existing| {\n                r.timestamp.as_deref().unwrap_or(\"\")\n                    > existing.timestamp.as_deref().unwrap_or(\"\")\n            })\n            .unwrap_or(true);\n        if dominated {\n            by_url.insert(url, r);\n        }\n    }\n    by_url\n}\n\nfn fetch_from_cc_warc(client: &Client, record: &CdxRecord) -> Option<String> {\n    let filename = record.filename.as_deref()?;\n    let offset: u64 = record.offset.as_deref()?.parse().ok()?;\n    let length: u64 = record.length.as_deref()?.parse().ok()?;\n\n    if length == 0 {\n        return None;\n    }\n\n    let warc_url = format!(\"{}{}\", CC_WARC_PREFIX, filename);\n    let range = format!(\"bytes={}-{}\", offset, offset + length - 1);\n\n    let resp = client\n        .get(&warc_url)\n        .header(RANGE, &range)\n        .send()\n        .ok()?;\n\n    let status = resp.status().as_u16();\n    if status != 200 && status != 206 {\n        return None;\n    }\n\n    let raw = resp.bytes().ok()?;\n\n    // try gzip decompress\n    let data = {\n        let mut decoder = GzDecoder::new(&raw[..]);\n        let mut buf = Vec::new();\n        match decoder.read_to_end(&mut buf) {\n            Ok(_) => buf,\n            Err(_) => raw.to_vec(),\n        }\n    };\n\n    let text = String::from_utf8_lossy(&data).into_owned();\n\n    // WARC record: WARC header \\r\\n\\r\\n HTTP header \\r\\n\\r\\n body\n    let parts: Vec<&str> = text.splitn(3, \"\\r\\n\\r\\n\").collect();\n    match parts.len() {\n        3 => Some(parts[2].to_string()),\n        2 => Some(parts[1].to_string()),\n        _ => Some(text),\n    }\n}\n\nfn fetch_live(client: &Client, url: &str) -> Option<String> {\n    let resp = client.get(url).send().ok()?;\n    if resp.status().is_success() {\n        resp.text().ok()\n    } else {\n        None\n    }\n}\n\nfn normalize(text: &str) -> String {\n    let mut lines: Vec<&str> = text.lines().map(|l| l.trim_end()).collect();\n\n    // strip leading blank lines\n    while lines.first().map_or(false, |l| l.trim().is_empty()) {\n        lines.remove(0);\n    }\n    // strip trailing blank lines\n    while lines.last().map_or(false, |l| l.trim().is_empty()) {\n        lines.pop();\n    }\n\n    lines.join(\"\\n\")\n}\n\nfn sha256_hex(s: &str) -> String {\n    let mut hasher = Sha256::new();\n    hasher.update(s.as_bytes());\n    format!(\"{:x}\", hasher.finalize())\n}\n\nfn similarity(a: &str, b: &str) -> f64 {\n    // simple longest-common-subsequence based ratio,\n    // similar to Python's SequenceMatcher.ratio()\n    if a.is_empty() && b.is_empty() {\n        return 1.0;\n    }\n    if a.is_empty() || b.is_empty() {\n        return 0.0;\n    }\n\n    let a_bytes = a.as_bytes();\n    let b_bytes = b.as_bytes();\n    let m = a_bytes.len();\n    let n = b_bytes.len();\n\n    // for very large texts, just compare hashes\n    if m > 100_000 || n > 100_000 {\n        return if sha256_hex(a) == sha256_hex(b) {\n            1.0\n        } else {\n            0.0\n        };\n    }\n\n    // LCS length via two-row DP\n    let mut prev = vec![0u32; n + 1];\n    let mut curr = vec![0u32; n + 1];\n\n    for i in 1..=m {\n        for j in 1..=n {\n            if a_bytes[i - 1] == b_bytes[j - 1] {\n                curr[j] = prev[j - 1] + 1;\n            } else {\n                curr[j] = prev[j].max(curr[j - 1]);\n            }\n        }\n        std::mem::swap(&mut prev, &mut curr);\n        curr.fill(0);\n    }\n\n    let lcs_len = prev[n] as f64;\n    2.0 * lcs_len / (m + n) as f64\n}\n\nfn compare_cows(reference: &str, candidate: &str) -> (f64, bool) {\n    let ref_norm = normalize(reference);\n    let cand_norm = normalize(candidate);\n\n    let ref_hash = sha256_hex(&ref_norm);\n    let cand_hash = sha256_hex(&cand_norm);\n\n    if ref_hash == cand_hash {\n        return (1.0, true);\n    }\n\n    let ratio = similarity(&ref_norm, &cand_norm);\n    (ratio, false)\n}\n\nfn main() {\n    let args = Args::parse();\n    let client = build_client();\n\n    println!(\"{}\", \"=\".repeat(60));\n    println!(\"  cow.txt finder -- powered by Common Crawl + Wayback Machine\");\n    println!(\"{}\", \"=\".repeat(60));\n    println!();\n\n    let use_cc = args.sources == \"cc\" || args.sources == \"all\";\n    let use_wayback = args.sources == \"wayback\" || args.sources == \"all\";\n\n    if !use_cc && !use_wayback {\n        println!(\"[!] Invalid --sources value. Use 'cc', 'wayback', or 'all'.\");\n        return;\n    }\n\n    println!(\"[*] Sources: {}\", args.sources);\n\n    // 1. reference cow\n    let reference = if !args.list_only {\n        let cow = get_reference_cow(&client, args.reference.as_ref());\n        let hash = sha256_hex(&normalize(&cow));\n        println!(\"    Reference cow hash: {}...\", &hash[..16]);\n        println!(\"    Reference cow size: {} bytes\", cow.len());\n        println!();\n        Some(cow)\n    } else {\n        None\n    };\n\n    // 2. Search indices\n    let mut all_results = Vec::new();\n\n    if use_cc {\n        let indices = get_cc_indices(&client, args.latest);\n        println!();\n\n        let total = indices.len();\n        for (i, idx) in indices.iter().enumerate() {\n            print!(\"[{}/{}] Searching {}... \", i + 1, total, idx.id);\n            let mut results = search_cdx_index(&client, &idx.id);\n            for r in &mut results {\n                r.source = Some(RecordSource::CommonCrawl);\n            }\n            println!(\"found {} URL(s)\", results.len());\n            all_results.extend(results);\n            thread::sleep(Duration::from_millis(300));\n        }\n        println!();\n    }\n\n    if use_wayback {\n        print!(\"[*] Searching Wayback Machine CDX... \");\n        let results = search_wayback_cdx(&client);\n        println!(\"found {} URL(s)\", results.len());\n        all_results.extend(results);\n        println!();\n    }\n\n    let unique = dedupe_results(all_results);\n    println!(\"[*] Total unique cow.txt URLs found: {}\", unique.len());\n    println!();\n\n    if unique.is_empty() {\n        println!(\"No cow.txt files found. Moo.\");\n        return;\n    }\n\n    // 4. list\n    let mut sorted_urls: Vec<_> = unique.iter().collect();\n    sorted_urls.sort_by_key(|(url, _)| url.clone());\n\n    println!(\"{}\", \"-\".repeat(60));\n    println!(\"  Discovered cow.txt URLs:\");\n    println!(\"{}\", \"-\".repeat(60));\n    for (url, record) in &sorted_urls {\n        let status = record.status.as_deref().unwrap_or(\"?\");\n        let ts = record.timestamp.as_deref().unwrap_or(\"?\");\n        let mime = record.mime.as_deref().unwrap_or(\"?\");\n        println!(\"  [{}] {}\", status, url);\n        println!(\"        crawled: {}  mime: {}\", ts, mime);\n    }\n    println!();\n\n    if args.list_only {\n        return;\n    }\n\n    let reference = reference.unwrap();\n\n    // 5. fetch and compare\n    println!(\"{}\", \"-\".repeat(60));\n    println!(\"  Fetching and comparing against reference cow...\");\n    println!(\"{}\", \"-\".repeat(60));\n    println!();\n\n    let mut matches: Vec<(String, f64, bool)> = Vec::new();\n\n    for (url, record) in &sorted_urls {\n        if url.contains(\"josie.lol\") {\n            println!(\"  [skip] {} (that's us)\", url);\n            continue;\n        }\n\n        let status = record.status.as_deref().unwrap_or(\"0\");\n        if !status.starts_with('2') {\n            println!(\"  [skip] {} (status {})\", url, status);\n            continue;\n        }\n\n        let source_name = match record.source {\n            Some(RecordSource::CommonCrawl) => \"CC\",\n            Some(RecordSource::Wayback) => \"WB\",\n            None => \"??\",\n        };\n        println!(\"  [fetch] {} [{}]\", url, source_name);\n\n        let mut content: Option<String> = None;\n        let mut fetch_method = \"unknown\";\n\n        match record.source {\n            Some(RecordSource::CommonCrawl) => {\n                content = fetch_from_cc_warc(&client, record);\n                fetch_method = \"CC WARC\";\n            }\n            Some(RecordSource::Wayback) => {\n                if let Some(ts) = &record.timestamp {\n                    content = fetch_from_wayback(&client, url, ts);\n                    fetch_method = \"Wayback\";\n                }\n            }\n            None => {}\n        }\n\n        if content.as_ref().map_or(true, |c| c.trim().is_empty()) && args.fetch_live {\n            content = fetch_live(&client, url);\n            fetch_method = \"live fetch\";\n        }\n\n        match content {\n            Some(ref c) if !c.trim().is_empty() => {\n                let (sim, exact) = compare_cows(&reference, c);\n                if exact {\n                    println!(\"        >>> EXACT MATCH (via {})\", fetch_method);\n                    matches.push((url.to_string(), sim, exact));\n                } else if sim >= args.threshold {\n                    println!(\n                        \"        >>> Close match: similarity={:.1}% (via {})\",\n                        sim * 100.0,\n                        fetch_method\n                    );\n                    matches.push((url.to_string(), sim, exact));\n                } else {\n                    println!(\"        [x] Different cow (similarity={:.1}%)\", sim * 100.0);\n                }\n            }\n            _ => {\n                println!(\"        [!] Could not retrieve content\");\n            }\n        }\n\n        thread::sleep(Duration::from_millis(500));\n    }\n\n    // 6. summary\n    println!();\n    println!(\"{}\", \"=\".repeat(60));\n    println!(\"  Results\");\n    println!(\"{}\", \"=\".repeat(60));\n    if matches.is_empty() {\n        println!(\"  No matching cows found. Your cow is one of a kind.\");\n    } else {\n        println!(\"  Found {} matching cow(s)!\", matches.len());\n        for (url, sim, exact) in &matches {\n            if *exact {\n                println!(\"  [EXACT] {}\", url);\n            } else {\n                println!(\"  [{:.1}%] {}\", sim * 100.0, url);\n            }\n        }\n    }\n    println!();\n}\n","structuredPatch":[{"oldStart":440,"oldLines":7,"newStart":440,"newLines":7,"lines":[" ","     // 4. list","     let mut sorted_urls: Vec<_> = unique.iter().collect();","-    sorted_urls.sort_by_key(|(url, _)| url.clone());","+    sorted_urls.sort_by_key(|(url, _)| (*url).clone());"," ","     println!(\"{}\", \"-\".repeat(60));","     println!(\"  Discovered cow.txt URLs:\");"]}],"userModified":false,"replaceAll":false},"sourceToolAssistantUUID":"b8f583ad-560d-41b5-9bdc-51844ad1f891"}
{"parentUuid":"8c776e2e-48c2-4130-a929-87572eae8c95","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","message":{"model":"claude-opus-4-5-20251101","id":"msg_014vkJ9PFnAhB3AXQ1phnY75","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HJs1puWRrQpL68pbKmX11T","name":"Bash","input":{"command":"cargo build 2>&1","description":"Rebuild to verify warning is fixed"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":204,"cache_read_input_tokens":34270,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":204},"output_tokens":25,"service_tier":"standard"}},"requestId":"req_011CXmWkRwHeEnxWA8BbxYHb","type":"assistant","uuid":"6b7fde45-6b31-4871-b80f-495ece445acd","timestamp":"2026-02-03T17:16:02.670Z"}
{"parentUuid":"6b7fde45-6b31-4871-b80f-495ece445acd","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PreToolUse","hookName":"PreToolUse:Bash","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py"},"toolUseID":"toolu_01HJs1puWRrQpL68pbKmX11T","parentToolUseID":"toolu_01HJs1puWRrQpL68pbKmX11T","uuid":"45510e0b-cebb-48f4-bcea-c6c4b0f5cf2b","timestamp":"2026-02-03T17:16:02.672Z"}
{"parentUuid":"45510e0b-cebb-48f4-bcea-c6c4b0f5cf2b","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Bash","command":"python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py"},"parentToolUseID":"toolu_01HJs1puWRrQpL68pbKmX11T","toolUseID":"toolu_01HJs1puWRrQpL68pbKmX11T","timestamp":"2026-02-03T17:16:20.015Z","uuid":"956b0d8b-d1c1-468f-9450-4428362105b2"}
{"parentUuid":"6b7fde45-6b31-4871-b80f-495ece445acd","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01HJs1puWRrQpL68pbKmX11T","type":"tool_result","content":"   Compiling find_my_cow v0.1.0 (/home/josie/development/personal/mooo)\n    Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.41s","is_error":false}]},"uuid":"ec2c9bf2-e590-44dd-aa86-e70d41fd12d5","timestamp":"2026-02-03T17:16:20.012Z","toolUseResult":{"stdout":"   Compiling find_my_cow v0.1.0 (/home/josie/development/personal/mooo)\n    Finished `dev` profile [unoptimized + debuginfo] target(s) in 0.41s","stderr":"","interrupted":false,"isImage":false},"sourceToolAssistantUUID":"6b7fde45-6b31-4871-b80f-495ece445acd"}
{"parentUuid":"ec2c9bf2-e590-44dd-aa86-e70d41fd12d5","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","message":{"model":"claude-opus-4-5-20251101","id":"msg_016uogTKHLtDmEoGnyZPKzzE","type":"message","role":"assistant","content":[{"type":"text","text":"Let me test it with just the Wayback source to verify the new functionality works:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":149,"cache_read_input_tokens":34474,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":149},"output_tokens":1,"service_tier":"standard"}},"requestId":"req_011CXmWmw7kKxSxrEyuWBG6a","type":"assistant","uuid":"810d7e87-0db4-4074-bc7d-49f082a88b5b","timestamp":"2026-02-03T17:16:23.658Z"}
{"parentUuid":"810d7e87-0db4-4074-bc7d-49f082a88b5b","isSidechain":false,"userType":"external","cwd":"/home/josie/development/personal/mooo","sessionId":"3c6554cd-0829-47a3-adfb-3cc41700ef22","version":"2.1.29","gitBranch":"","slug":"jiggly-coalescing-cosmos","message":{"model":"claude-opus-4-5-20251101","id":"msg_016uogTKHLtDmEoGnyZPKzzE","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_016KZBAkL4oir6cBVJ2od5Df","name":"Bash","input":{"command":"cargo run -- --sources wayback --list-only 2>&1","description":"Test Wayback Machine search with list-only mode","timeout":120000}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":149,"cache_read_input_tokens":34474,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":149},"output_tokens":1,"service_tier":"s