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 agentmods add skills/lolaplex/agents-docs/docs-searchnpx skills add Lolaplex/agents-docs --skill docs-searchgit clone --depth 1 https://github.com/Lolaplex/agents-docsWhat 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 | $0.00101 | $0.00457 |
| Opus 5 | $0.00051 | $0.00229 |
| Sonnet 5 | $0.00020 | $0.00091 |
| Haiku 4.5 | $0.00010 | $0.00046 |
Grade A, and why
docs-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Docs Search Skill
Use this skill when you need accurate, version-specific framework syntax, API signatures, code examples, or up-to-date AI model capabilities, benchmarks, and routing suggestions.
How to use agents-docs
- First, check available documentation sets:
- Tool:
list_docsets()
- Tool:
- For Frameworks & Libraries:
- Tool:
search_docs(docset="svelte-5", query="$state runes") - Tool:
search_docs(docset="fastapi", query="HTTPException status_code") - Tool:
search_docs(docset="all", query="OAuth flow")
- Tool:
- For AI Models, LLMs, Benchmarks & Model Routing:
- Tool:
search_docs(docset="ai-models", query="best model for coding refactoring") - Tool:
search_docs(docset="ai-models", query="claude 3.7 sonnet thinking reasoning") - Tool:
search_docs(docset="ai-models", query="SWE-bench leaderboards") - Tool:
search_docs(docset="ai-models", query="qwen 2.5 coder 32b hardware vram") - Tool:
search_docs(docset="ai-models", query="pricing context window token limits")
- Tool:
- If a catalog docset is not installed, sync it in 1 second from the curated catalog:
- Tool:
sync_docset(name="ai-models")orsync_docset(name="svelte-5")
- Tool:
- Read the exact section snippet returned by
search_docsand apply the verified specifications.
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.
- 2d ago First seen · 28 lines · 101 tokens per session scan A d737d55b6583
docs-search is a skill published in the GitHub repository Lolaplex/agents-docs (2 stars, last pushed 10d ago), licensed MIT. It adds 101 tokens to every session and 457 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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