server-log-crawler-analyst
Analyze credential-free public website monitoring evidence from server access logs, HTTP fetches, robots/llms/sitemap checks, and exported summaries while protecting raw IP and private query data. Use this skill when the user asks whether crawlers or AI bots reached a site, whether public SEO/LLM discovery files respond, or how to separate observed facts from unknown Search Console, rank, analytics, or citation claims.
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--- name: server-log-crawler-analyst description: Analyze credential-free public website monitoring evidence from server access logs, HTTP fetches, robots/llms/sitemap checks, and exported summaries while protecting raw IP and private query data. Use this skill when the user asks whether crawlers or AI bots reached a site, whether public SEO/LLM discovery files respond, or how to separate observed facts from unknown Search Console, rank, analytics, or citation claims. license: MIT --- # Server Log Crawler Analyst Use this skill when credential-free monitoring evidence is enough, or when credentialed Search Console, rank tracking, analytics, or assistant citation tools are unavailable. Read [references/data-source-tiers.md](references/data-source-tiers.md) before producing a monitoring report. ## Owns - credential-free monitoring baseline; - server access-log summary with IP privacy protection; - crawler/user-agent observation reports; - public HTTP checks for robots, llms.txt, sitemaps, RSS, and representative URLs; - data-source tiering; - monitoring limitations and unknowns; - backlog handoff for Search Console, rank/SERP, analytics, and LLM citation monitoring. ## Does Not Own - credentialed Search Console or analytics API work; - scraping search engines; - bypassing bot protections; - live firewall or WAF changes; - claims about rankings or assistant citations without direct evidence; - storing raw IP logs in public artifacts. ## Workflow 1. Identify available evidence: public URL fetches, access-log snippet, exported summary, or synthetic fixture. 2. Label the evidence tier and collection time. 3. If logs are provided, summarize requests by path, status, user-agent class, and redacted IP hash. 4. Separate known crawler hits from unknown bot-like traffic. 5. Check public discovery endpoints when requested. 6. Record limitations: no Search Console, no rank data, no assistant citation data unless explicitly provided. 7. Produce a monitoring report using [assets/crawler-monitor-report.template.md](assets/crawler-monitor-report.template.md). 8. Hand off credentialed or citation tasks to the backlog. ## Non-Negotiables - Do not publish raw IP addresses. - Do not store credentials, cookies, API keys, or private analytics exports in skill files. - Do not infer ranking, indexing, or citation success from server logs alone. - Do not claim a user-agent is verified Google/OpenAI/Claude/Perplexity unless verification method is documented. - Do not scrape SERPs or assistants against terms of service. - Do not change firewall, WAF, robots, or server config from this skill. ## Safety And Privacy Boundaries - Treat raw logs as private by default. - Use aggregated counts and redacted identifiers. - Keep exact timestamps only when needed for evidence; otherwise aggregate by hour/day. - If the user asks to publish a report, remove raw IP, query strings, session IDs, auth paths, and admin URLs unless explicitly needed and safe. - Public reports should say "observed in provided logs" rather than "definitely crawled by" unless bot verification is complete. ## Evidence Labels - `Observed`: directly in log, HTTP response, or exported report. - `Verified`: observed and checked by an accepted verification method. - `Inferred`: likely based on user-agent/path/status, but not verified. - `Open`: no evidence available in this run. ## Validation Validate skill edits with: ```bash python3 <codex-skills-dir>/senior-skill-architect/scripts/lint_production_skill.py ./skills/server-log-crawler-analyst python3 ./skills/server-log-crawler-analyst/scripts/analyze_access_log.py ./skills/server-log-crawler-analyst/fixtures/sample-access.log --report <tmp-dir>/server-log-crawler-report.json python3 ./plans/seo-llm-skill-cluster/scripts/lint_skill_cluster.py . ``` Forward tests live in [evals.json](evals.json). ## Output Shape Return: 1. Evidence source and timestamp. 2. Data tier and privacy handling. 3. Observed crawler/user-agent classes. 4. Public endpoint status checks if performed. 5. Suspicious or irrelevant bot traffic summary. 6. Unknowns and claims refused. 7. Monitoring backlog and next evidence needed.
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