Borrowing it
Nothing to install: this file belongs to andnp/ragdocs-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/andnp/ragdocs-mcp/main/.github/skills/live-corpus-search/SKILL.mdgit clone --depth 1 https://github.com/andnp/ragdocs-mcpWrote 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/andnp/ragdocs-mcp/live-corpus-search)<a href="https://agentmods.dev/skills/andnp/ragdocs-mcp/live-corpus-search"><img src="https://agentmods.dev/badge/skills/andnp/ragdocs-mcp/live-corpus-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/andnp/ragdocs-mcp/live-corpus-search"><img src="https://agentmods.dev/badge/skills/andnp/ragdocs-mcp/live-corpus-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 | $0.00032 | $0.00656 |
| Opus 5 | $0.00016 | $0.00328 |
| Sonnet 5 | $0.00006 | $0.00131 |
| Haiku 4.5 | $0.00003 | $0.00066 |
Grade A, and why
live-corpus-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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Live Corpus Search
When to Use
- Verify a local search or indexing change against the real multi-project corpus.
- Confirm that the globally installed Ragdocs daemon is running the current checkout.
- Compare JSON query results before and after a search change.
Procedure
-
From the Ragdocs repository, refresh the global editable tool:
uv tool install --editable --force /home/andy/Projects/personal/mcp-markdown-ragdocsConfirm that the install resolves the expected
andnp-searchkernelversion. -
Restart the global daemon with enough time for the corpus to initialize:
mcp-markdown-ragdocs daemon restart --timeout 120The default 10-second timeout is often too short for the live corpus.
-
Wait for readiness before querying:
mcp-markdown-ragdocs daemon status mcp-markdown-ragdocs index statsContinue only when daemon status is
runningand index stats reportIndex state: readywithRemaining estimate: 0. If restart times out, inspect status again; the daemon may still be initializing. Use the daemon log at:/home/andy/.local/state/mcp-markdown-ragdocs/daemon/daemon.log. -
Run queries one at a time. Do not launch concurrent CLI queries while the daemon is starting or rebuilding:
mcp-markdown-ragdocs query "your query" --top-n 5 --jsonUse
--project-filter mcp-markdown-ragdocswhen evaluating the current repository's documents instead of the whole global corpus:mcp-markdown-ragdocs query "your query" \ --project-filter mcp-markdown-ragdocs --top-n 5 --json -
Summarize results using
file_path,header_path,score, andprovenance.strategies. Include both positive queries and an unrelated query when checking relevance and abstention behavior:... --json | jq -r \ '.results[] | [.file_path, .header_path, .score, (.provenance.strategies | join(","))] | @tsv'
Operational Notes
- The daemon is global;
daemon restartoperates on~/.local/state/mcp-markdown-ragdocs/daemon. - Querying without
--project-filtersearches all configured document roots and indexed Git history, which can outrank a relevant document from the current repository. - A relevant result appearing in the corpus does not prove it is ranked first. Record the query, scope, top results, scores, and retrieval strategies.
- The CLI does not expose every search policy parameter. Use the MCP/API surface when testing thresholds or other request-level filters.
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.
- 10d ago First seen · 64 lines · 32 tokens per session scan A e8540569d88f
live-corpus-search is a skill published in the GitHub repository andnp/ragdocs-mcp (2 stars, last pushed 13d ago), licensed MIT. It adds 32 tokens to every session and 656 once invoked, about $0.0002 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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