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 Lolaplex/agents-docs --skill docs-searchgit clone --depth 1 https://github.com/Lolaplex/agents-docsWrote 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/lolaplex/agents-docs/docs-search)<a href="https://agentmods.dev/skills/lolaplex/agents-docs/docs-search"><img src="https://agentmods.dev/badge/skills/lolaplex/agents-docs/docs-search/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/lolaplex/agents-docs/docs-search"><img src="https://agentmods.dev/badge/skills/lolaplex/agents-docs/docs-search.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 | $0.00043 | $0.00335 |
| Opus 5.5 | $0.00017 | $0.00134 |
| Sonnet 5.5 | $0.00009 | $0.00067 |
| Haiku 4.5 | $0.00004 | $0.00034 |
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 20d 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
Local hard-fact register (~/.agents/docs/). Not memory. Append-mostly.
Where facts go
- Hard tech fact (API, stack rule, model spec, platform truth) →
write_doc/python -m agents_docs write NAME CONTENT [CATEGORY] - User prefs, project decisions, identity → agents-memory (
add_memory/mcp.memory.add) - Do not dump READMEs, chat logs, or fluid notes into docs.
- Old-but-still-true facts stay.
delete_doconly for wrong, duplicate, or yanked sheets. - Catalog sync must not wipe agent sheets in
stacks|models|apis|platforms|custom.
Search
list_docs()thensearch_docs(query="...", category="stacks|models|apis|platforms|custom|all")get_doc(name="...", category="...")for the full sheet- Missing catalog framework:
sync_external_doc(name="svelte-5")orlist_catalog() - Model playbooks:
get_model_playbook(model="auto")
Write
write_doc(name="coolify-postgres", content="...", category="platforms") appends a dated section.
overwrite=True only to replace a wrong sheet, never because a fact is old.
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.
- 20d ago Changed · +1 lines · -58 tokens per session 21e82e784599
- 1mo 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 11d ago), licensed MIT. It adds 43 tokens to every session and 335 once invoked, about $0.0002 per session on Opus 5.5. 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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