Borrowing it
Nothing to install: this file belongs to edxmorales/datadog-aws-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/edxmorales/datadog-aws-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/edxmorales/datadog-aws-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/edxmorales/datadog-aws-mcp/agents-md)<a href="https://agentmods.dev/instructions/edxmorales/datadog-aws-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/edxmorales/datadog-aws-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/edxmorales/datadog-aws-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/edxmorales/datadog-aws-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 | $0.00367 | $0.00367 |
| Opus 5.5 | $0.00147 | $0.00147 |
| Sonnet 5.5 | $0.00073 | $0.00073 |
| Haiku 4.5 | $0.00037 | $0.00037 |
Grade A, and why
datadog-aws-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 16d 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
AGENTS.md
Instrucciones para agentes (OpenCode y similares) que trabajen en este repo
o lo consulten a través del MCP datadog-aws-integration.
Qué es este repo
Servidor MCP (Python, FastMCP, transporte stdio) de solo lectura para
Datadog, AWS CloudWatch, Azure Repos, GitHub, DeepSeek y OpenCode.
Detalle en README.md y docs/MCP.md.
Comandos
- Instalar:
pip install -r requirements.txt - Pruebas:
python test_arreglos.pyypython test_opencode.py - Comprobar sintaxis:
python -m py_compile server.py tools_*.py test_*.py
Convenciones
- Código y comentarios en español, igual que el resto del repo.
- Cada grupo de herramientas nuevo vive en
tools_<nombre>.pyy exponeregister_<nombre>_tools(mcp);server.pysolo lo importa y lo registra. - Las herramientas no escriben ni despliegan nada: crear ramas, commits y PRs se hace con git/gh, con revisión humana.
Reglas
- Nunca leer, imprimir ni modificar
.env; los secretos solo van por variables de entorno. - No añadir
shell=Trueni construir comandos concatenando texto del usuario. - No hacer push, merge ni tocar
mainsin petición explícita. - Si analizas código por consulta (
analizar_codigo_opencode): es de solo lectura. No modifiques archivos ni llames de nuevo a este MCP; la variableOPENCODE_MCP_NESTEDbloquea las llamadas anidadas.
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.
- 16d ago First seen · 35 lines · 367 tokens per session scan A 8acd46f38732
datadog-aws-mcp AGENTS.md is an instructions file published in the GitHub repository edxmorales/datadog-aws-mcp (0 stars, last pushed 18d ago), licensed MIT. It adds 367 tokens to every session, about $0.0015 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 2026-10-21.
datadog-aws-mcp AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| datadog-aws-mcp AGENTS.mdedxmorales/datadog-aws-mcp | Instructions file | 0 | 18d ago | MIT | A | 367 | 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 | yesterday | 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 |