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 nicholasglazer/gnosis-mcp --skill searchgit clone --depth 1 https://github.com/nicholasglazer/gnosis-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/nicholasglazer/gnosis-mcp/search)<a href="https://agentmods.dev/skills/nicholasglazer/gnosis-mcp/search"><img src="https://agentmods.dev/badge/skills/nicholasglazer/gnosis-mcp/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/nicholasglazer/gnosis-mcp/search"><img src="https://agentmods.dev/badge/skills/nicholasglazer/gnosis-mcp/search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00038 | $0.01484 |
| Opus 5 | $0.00019 | $0.00742 |
| Sonnet 5 | $0.00008 | $0.00297 |
| Haiku 4.5 | $0.00004 | $0.00148 |
Grade A, and why
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 — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search
Front-end for the search_docs and search_git_history MCP tools.
Formats results and picks the right variant based on flags.
Usage
/gnosis:search billing credits # keyword
/gnosis:search --semantic webhook processing # hybrid
/gnosis:search --category guides deployment # category filter
/gnosis:search --git fix authentication bug # git history
/gnosis:search --limit 10 whatever # more results
Query: $ARGUMENTS
Default — keyword search
Call mcp__gnosis__search_docs(query=$QUERY, limit=8).
Format as a compact table:
| # | Score | Title | Path |
|---|---|---|---|
| 1 | 0.049 | Auth Guide | curated/guides/auth.md |
| 2 | 0.032 | JWT reference | docs/architecture/jwt.md |
Below the table, for top 3: one-line snippet from the matched chunk.
If results are empty or weak (all scores < 0.005)
Probably one of:
- Corpus not indexed — suggest
/gnosis:ingest ./docsto the user. Confirm withgnosis-mcp stats(0 docs = nothing indexed). - Query too specific — broaden. "shopify webhook idempotency 402 error 2024" may return nothing; "shopify webhook" will find the runbook that links to the detail.
- Path mismatch — some users name docs with abbreviations
(
auth.md) but query with full words ("authentication"). Ingest likely extracted better titles (H1) than the filename; search by concept, not filename.
--semantic — hybrid search
For paraphrase-heavy queries where keyword overlap is low. Same tool, different parameters:
mcp__gnosis__search_docs(
query=$QUERY,
query_embedding=<auto-embedded by server if embed provider is set>,
limit=8
)
If GNOSIS_MCP_EMBED_PROVIDER is set server-side, the server embeds
the query in-process — no client-side work needed.
Reality check
On vocabulary-matched corpora (your queries use the same words as
your docs — normal for dev docs), hybrid often produces identical
rankings to keyword. The vector arm runs, adds ~4 ms latency, and
changes nothing. If --semantic doesn't improve quality on a corpus
you've tuned, leave it off.
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 · 170 lines · 38 tokens per session scan A 598d50b3c4c6
search is a skill published in the GitHub repository nicholasglazer/gnosis-mcp (29 stars, last pushed 20d ago), licensed MIT. It adds 38 tokens to every session and 1,484 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 2026-08-30.
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agent-carnet
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karpathy-llm-wiki
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