How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/sergekostenchuk/ui-ux-agent-skill-system --skill server-log-crawler-analystBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
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 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
- Identify available evidence: public URL fetches, access-log snippet, exported summary, or synthetic fixture.
- Label the evidence tier and collection time.
- If logs are provided, summarize requests by path, status, user-agent class, and redacted IP hash.
- Separate known crawler hits from unknown bot-like traffic.
- Check public discovery endpoints when requested.
- Record limitations: no Search Console, no rank data, no assistant citation data unless explicitly provided.
- Produce a monitoring report using assets/crawler-monitor-report.template.md.
- 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- Do not publish raw IP addresses.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:
python3 $CODEX_HOME/skills/senior-skill-architect/scripts/lint_production_skill.py $HOME/SKILL/skills/server-log-crawler-analyst
python3 $HOME/SKILL/skills/server-log-crawler-analyst/scripts/analyze_access_log.py $HOME/SKILL/skills/server-log-crawler-analyst/fixtures/sample-access.log --report /tmp/server-log-crawler-report.json
python3 $HOME/SKILL/plans/seo-llm-skill-cluster/scripts/lint_skill_cluster.py $HOME/SKILLForward tests live in evals.json.
Output Shape
Return:
- Evidence source and timestamp.
- Data tier and privacy handling.
- Observed crawler/user-agent classes.
- Public endpoint status checks if performed.
- Suspicious or irrelevant bot traffic summary.
- Unknowns and claims refused.
- Monitoring backlog and next evidence needed.


