Borrowing it
Nothing to install: this file belongs to sebazai/faceit-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/sebazai/faceit-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/sebazai/faceit-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/sebazai/faceit-mcp/agents-md)<a href="https://agentmods.dev/instructions/sebazai/faceit-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sebazai/faceit-mcp/agents-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/sebazai/faceit-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sebazai/faceit-mcp/agents-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 | $0.00410 | $0.00410 |
| Opus 5.5 | $0.00164 | $0.00164 |
| Sonnet 5.5 | $0.00082 | $0.00082 |
| Haiku 4.5 | $0.00041 | $0.00041 |
Grade A, and why
faceit-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 2mo 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
Agent guidelines for faceit-mcp
Generated code
Every file under src/faceit_mcp/tools/ (including __init__.py) is
auto-generated from swagger.json by scripts/generate_tools.py. Do
not hand-edit these files — your changes will be clobbered on the next
regeneration.
To change a tool's signature or description:
- Update
scripts/generate_tools.py. The most common edits are:TAG_HINTS— the "Use this when / Prefer X when" block that is appended to each tool description. This is the main lever for making tools easier to pick.OPERATION_OVERRIDES— rename or re-summarise individual operations (keyed by(operationId, path)).
- Place the current
swagger.jsonat the repo root (it is gitignored). - Run
python scripts/generate_tools.py. - Review the diff under
src/faceit_mcp/tools/and commit it together with the generator change.
Runtime code
src/faceit_mcp/{server,client,config,errors}.py are hand-written and
safe to edit. Keep the HTTP client single-purpose — all API-specific
behaviour belongs in the generator's hints, not in the client.
Secrets
swagger.json and .env are gitignored. Never commit a real
FACEIT_API_KEY. When demonstrating the server, always substitute a
placeholder such as YOUR_KEY_HERE.
Testing a change
After regenerating, assert that all 64 tools still register cleanly:
FACEIT_API_KEY=placeholder python -c "
import asyncio
from faceit_mcp.server import mcp
tools = asyncio.run(mcp.list_tools())
assert len(tools) == 64, len(tools)
print('OK', len(tools))
"
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.
- 2mo ago First seen · 48 lines · 410 tokens per session scan A 65ccd980b0eb
faceit-mcp AGENTS.md is an instructions file published in the GitHub repository sebazai/faceit-mcp (0 stars, last pushed 6mo ago), licensed MIT. It adds 410 tokens to every session, about $0.0016 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 2026-08-31.
faceit-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| faceit-mcp AGENTS.mdsebazai/faceit-mcp | Instructions file | 0 | 6mo ago | MIT | A | 410 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |