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 agentmods add instructions/frli4797/crowdsec-mcp/agents-mdgit clone --depth 1 https://github.com/frli4797/crowdsec-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/instructions/frli4797/crowdsec-mcp/agents-md)<a href="https://agentmods.dev/instructions/frli4797/crowdsec-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/frli4797/crowdsec-mcp/agents-md.svg" alt="Measured on agentmods" 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 | $0.00945 | $0.00945 |
| Opus 5 | $0.00473 | $0.00473 |
| Sonnet 5 | $0.00189 | $0.00189 |
| Haiku 4.5 | $0.00094 | $0.00094 |
Grade A, and why
crowdsec-mcp AGENTS.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 5d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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.
- 5d ago First seen · 131 lines · 945 tokens per session scan A b95dd440e3c7
crowdsec-mcp AGENTS.md is an instructions file published in the GitHub repository frli4797/crowdsec-mcp (0 stars, last pushed 18d ago), with no licence file. It adds 945 tokens to every session, about $0.0047 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.
Other instructions, from other repositories
proxmox-mcp AGENTS.md
Instructions for lidless-labs/proxmox-mcp, covering repository guidance, definition of done, project shape, hard prohibitions and rules by trigger.
unifi-siem-sink CLAUDE.md
Claude Code instructions for ianchesal/unifi-siem-sink, covering claude.md, what this is, commands, architecture and config.
agentic-dart CLAUDE.md
Instructions for Juwon1405/agentic-dart, covering claude.md — ai assistant guide for agentic-dart, what this project is, repository map, run modes (know which one you are touching) and non-negotiables (do not break these).
agentic-dart AGENTS.md
Instructions for Juwon1405/agentic-dart, covering agents.md — agent guide for agentic-dart, project summary, repository map, preferred commands and full suite — every test must pass.
homelab-asset-db-mcp CLAUDE.md
Claude Code instructions for McCavity/homelab-asset-db-mcp, covering homelab-asset-db-mcp — conventions for ai agents, what this project is, key design choices, parser contract and coding conventions.
Omada-mcp CLAUDE.md
Instructions for gaspareduard/Omada-mcp, covering tp-link omada mcp server — ai agent instructions, repository purpose, tooling and runtime, environment variables and required.