Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add sergekostenchuk/ui-ux-agent-skill-system --skill server-log-crawler-analystgit clone --depth 1 https://github.com/sergekostenchuk/ui-ux-agent-skill-systemWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/sergekostenchuk/ui-ux-agent-skill-system/server-log-crawler-analyst)<a href="https://agentmods.dev/skills/sergekostenchuk/ui-ux-agent-skill-system/server-log-crawler-analyst"><img src="https://agentmods.dev/badge/skills/sergekostenchuk/ui-ux-agent-skill-system/server-log-crawler-analyst/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/sergekostenchuk/ui-ux-agent-skill-system/server-log-crawler-analyst"><img src="https://agentmods.dev/badge/skills/sergekostenchuk/ui-ux-agent-skill-system/server-log-crawler-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00090 | $0.00905 |
| Opus 5 | $0.00045 | $0.00452 |
| Sonnet 5 | $0.00018 | $0.00181 |
| Haiku 4.5 | $0.00009 | $0.00090 |
Grade A, and why
server-log-crawler-analyst scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to server-log-crawler-analyst — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 90 lines · 90 tokens per session scan A b0f4b11ec1a8
server-log-crawler-analyst is a skill published in the GitHub repository sergekostenchuk/ui-ux-agent-skill-system (23 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 90 tokens to every session and 905 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to server-log-crawler-analyst, differing in 6 lines, and is treated as a copy.
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