Borrowing it
Nothing to install: this file belongs to Desearch-ai/mcp-desearch. 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/Desearch-ai/mcp-desearch/main/GEMINI.mdgit clone --depth 1 https://github.com/Desearch-ai/mcp-desearchWrote 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/instructions/desearch-ai/mcp-desearch/gemini-md)<a href="https://agentmods.dev/instructions/desearch-ai/mcp-desearch/gemini-md"><img src="https://agentmods.dev/badge/instructions/desearch-ai/mcp-desearch/gemini-md/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/instructions/desearch-ai/mcp-desearch/gemini-md"><img src="https://agentmods.dev/badge/instructions/desearch-ai/mcp-desearch/gemini-md.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 | $0.00267 | $0.00267 |
| Opus 5.5 | $0.00107 | $0.00107 |
| Sonnet 5.5 | $0.00053 | $0.00053 |
| Haiku 4.5 | $0.00027 | $0.00027 |
Grade A, and why
mcp-desearch GEMINI.md 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.
What it actually says
Desearch
The desearch MCP server connects to the hosted Desearch endpoint https://mcp.desearch.ai/mcp and sends your Desearch API key in the x-api-key header. Get a key at https://console.desearch.ai/api-keys.
Tools:
ai-search: AI search across web and X sources (also arxiv, wikipedia, hackernews, reddit) with relevant links and a summary.youtubeis not a tool id.web-search: SERP-style web search.web-links-search: web link search.x-search: tweet search on X.x-links-search: AI search for X post links.extract: read a public URL as text or HTML. Prefer it overweb-crawl(legacy route, same arguments).- X data tools:
x-posts-by-urls,x-post-by-id,x-posts-by-user,x-post-retweeters,x-user-posts,x-user-replies,x-post-replies,x-trends.
Use web-search or ai-search when the user asks for current information from the web, x-search for posts on X, and extract to read a specific page.
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 Changed · +7 tokens per session 52c7db0243ee
- 11d ago First seen · 14 lines · 260 tokens per session scan A 33c67e3abd4d
mcp-desearch GEMINI.md is an instructions file published in the GitHub repository Desearch-ai/mcp-desearch (1 stars, last pushed 11d ago), licensed MIT. It adds 267 tokens to every session, about $0.0011 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 2026-10-04.
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