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 scalvert/docusaurus-plugin-mcp-server --skill docs-researchgit clone --depth 1 https://github.com/scalvert/docusaurus-plugin-mcp-serverWrote 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/scalvert/docusaurus-plugin-mcp-server/docs-research)<a href="https://agentmods.dev/skills/scalvert/docusaurus-plugin-mcp-server/docs-research"><img src="https://agentmods.dev/badge/skills/scalvert/docusaurus-plugin-mcp-server/docs-research/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/scalvert/docusaurus-plugin-mcp-server/docs-research"><img src="https://agentmods.dev/badge/skills/scalvert/docusaurus-plugin-mcp-server/docs-research.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 | $0.00033 | $0.00474 |
| Opus 5.5 | $0.00013 | $0.00190 |
| Sonnet 5.5 | $0.00007 | $0.00095 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
docs-research 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 28d 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
Researching {{siteDocs}}
This MCP server exposes {{siteDocs}} through two tools:
docs_search: full-text search across every page. Returns titles, URLs, matching sections, and snippets.docs_fetch: returns the complete markdown of one page, given its URL, or one section of it when the URL ends in#heading-id.
Workflow
- Search first. Call
docs_searchwith a few specific keywords (product terms, API or option names, error strings) rather than a full sentence. - Pick candidates. Use titles, matching sections, and snippets to choose the one to three most relevant URLs. Snippets are excerpts, not answers.
- Fetch before answering. Call
docs_fetchwith an exact URL from the results. The page starts with a contents list; focus on the sections that matter. - Refine when results are thin. Search again with synonyms, narrower terms, or terms you saw in fetched pages. Try two or three searches before concluding the docs don't cover something.
- Answer from the docs. Ground the answer in fetched content and link the pages you used (add
#heading-idanchors where useful). If the docs don't cover the question, say so instead of guessing.
{{siteMap}}
Tips
docs_searchreturns up to 16 results by default (max 20). Pass a smallerlimitfor focused lookups.- Only pass URLs to
docs_fetchthat came fromdocs_searchresults, links in this skill, or links in fetched pages. Links from fetched pages work as written, including root-relative ones like/docs/intro. - To read one part of a long page, add the section's
#heading-idto its URL;docs_fetchthen returns just that section. - Prefer several targeted searches over one broad one; each search is cheap.
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.
- 28d ago Changed · +1 lines dc99e1591ef7
- 1mo ago Changed · +4 lines · -15 tokens per session a2106e65dd3f
- 1mo ago First seen · 26 lines · 48 tokens per session scan A d1aaa173a405
docs-research is a skill published in the GitHub repository scalvert/docusaurus-plugin-mcp-server (35 stars, last pushed 5d ago), licensed MIT. It adds 33 tokens to every session and 474 once invoked, about $0.0001 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 2026-09-28.
docs-research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| docs-researchscalvert/docusaurus-plugin-mcp-server | Skill | 35 | 5d ago | MIT | A | 33 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |