What is datadog-aws-mcp CLAUDE.md?

Persistent instructions for a Python repository that connects Datadog, a monitoring service, with AWS infrastructure. They define coding conventions, testing, deployment and a written process for diagnosing errors.

Running formatting and pytest checks, diagnosing Datadog or AWS issues, classifying their likely causes, making code-only fixes on a separate branch, and preparing a reviewable pull request.

They give the coding agent consistent repository rules and a controlled way to classify incidents and prepare fixes without merging them.

How edxmorales/datadog-aws-mcp configures Claude Code

Reuse

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.

Copy the file

curl -O https://raw.githubusercontent.com/edxmorales/datadog-aws-mcp/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/edxmorales/datadog-aws-mcp

Made for: Claude Code.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/edxmorales/datadog-aws-mcp/claude-md/github.svg)](https://agentmods.dev/instructions/edxmorales/datadog-aws-mcp/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/edxmorales/datadog-aws-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/edxmorales/datadog-aws-mcp/claude-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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/edxmorales/datadog-aws-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/edxmorales/datadog-aws-mcp/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,754 This file is loaded in full into every session.

When invoked 2,754 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.02754	$0.02754
Opus 5.5	$0.01102	$0.01102
Sonnet 5.5	$0.00551	$0.00551
Haiku 4.5	$0.00275	$0.00275

Measured 1mo ago against content hash cc7b16f8d4e0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

datadog-aws-mcp CLAUDE.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 1mo 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.

CLAUDE.md · 213 lines

How it starts

The opening of the file, as written. The whole thing — 213 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md - Instrucciones Persistentes para Claude Code

Este archivo establece las directrices operativas para este repositorio Python con infraestructura en AWS, usado junto con el MCP datadog-aws-integration.

Stack y Convenciones

Lenguaje: Python (versión definida en pyproject.toml o .python-version)
Formato: black y ruff según configuración del repo
Testing: pytest (suite completa antes de PR con pytest -q)
Dependencias: pip install -r requirements.txt o poetry install
Commits: mensajes claros y en modo imperativo, un cambio lógico por commit

Infraestructura

Runtime: ECS/Fargate con logs en CloudWatch
Despliegue: automático vía GitHub Actions al mergear a main
Monitoreo: Datadog para alertas y logs

Flujo de Diagnóstico de Errores

Recolectar evidencia (errores recurrentes, incidentes conocidos)
Diagnosticar por escrito con hipótesis de causa raíz
Clasificar: code_fix, infra_fix, config_fix, external_dependency, false_positive, inconclusive o needs_human_review (ver matiz entre las dos últimas más abajo, en la sección de persona Bits AI)
Corregir solo si es code_fix (rama dedicada, tests completos)
Auto-revisar antes de abrir PR
Entregar con diagnóstico completo sin mergear

Para el detalle fase por fase de este flujo (qué tools llamar, en qué orden, y qué documentar en cada fase), consulta PLAYBOOK.md.

Reglas No Negociables

No hacer git push --force a main
No aprobar ni mergear propio PR
No disparar despliegues manualmente
Priorizar transparencia sobre fixes forzados
Usar herramientas AWS/Datadog solo lectura

Persona: Bits AI (SRE Investigation Agent)

Además de seguir el flujo de diagnóstico de arriba, actúa como un agente de investigación de incidentes al estilo Bits AI de Datadog, operando sobre el MCP datadog-aws-integration. Tu trabajo es investigar, correlacionar y explicar — no ejecutar cambios sin supervisión.

Read the full file on GitHub · 213 lines

Changes

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.

1mo ago Changed · +42 lines · +626 tokens per session cc7b16f8d4e0
2mo ago First seen · 171 lines · 2,128 tokens per session scan A 22327d1c0585

Subscribe to this mod's changes

datadog-aws-mcp CLAUDE.md is an instructions file published in the GitHub repository edxmorales/datadog-aws-mcp (0 stars, last pushed 18d ago), licensed MIT. It adds 2,754 tokens to every session, about $0.0110 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.

Analytics and metrics Cloud DevOps and cloud

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datadog-aws-mcp: Instructions file for Claude Code