Borrowing it
Nothing to install: this file belongs to dreamiurg/datadog-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/dreamiurg/datadog-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/dreamiurg/datadog-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/dreamiurg/datadog-mcp/claude-md)<a href="https://agentmods.dev/instructions/dreamiurg/datadog-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/dreamiurg/datadog-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.
<a href="https://agentmods.dev/instructions/dreamiurg/datadog-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/dreamiurg/datadog-mcp/claude-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 | $0.00522 | $0.00522 |
| Opus 5.5 | $0.00209 | $0.00209 |
| Sonnet 5.5 | $0.00104 | $0.00104 |
| Haiku 4.5 | $0.00052 | $0.00052 |
Grade A, and why
datadog-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 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 Instructions
Project
TypeScript MCP server for Datadog API. Node.js >= 20, CommonJS output.
Stack
- Language: TypeScript (strict mode)
- Build:
tsc(CommonJS output todist/) - Linter/Formatter: Biome (
npx biome check src) - Tests: Vitest with V8 coverage (90% uniform thresholds)
- Complexity: lizard (
-l typescript -C 15 -L 60 -a 5) - Git hooks: pre-commit framework (not Husky)
Commands
| Task | Command |
|---|---|
| Build | npm run build |
| Lint | npm run lint |
| Lint + fix | npm run lint:fix |
| Typecheck | npm run typecheck |
| Test | npm test |
| Test + coverage | npm run test:coverage |
| Complexity | npm run complexity |
| Full CI locally | npm run ci |
Releases
NEVER create GitHub releases or tags manually. All releases go through Release Please:
- Use conventional commits (
feat:,fix:,chore:, etc.) - Release Please automatically creates/updates a release PR on each push to main
- A human merges the release PR to cut the release
- Release Please creates the GitHub release and tag automatically
When asked to "create a release", the correct action is to merge the pending Release Please PR (if one exists) or explain that new conventional commits need to be pushed to main first.
GitHub
- Repo:
dreamiurg/datadog-mcp(standalone, not a fork) - Merge strategy: Squash-only
- Branch protection: Sentinel job (
Required Checks) via ruleset - CI: lint, typecheck, test (Node 20/22/23), complexity, build
- PRs: Always use
--repo dreamiurg/datadog-mcpwithghCLI
Code Style
- Biome handles formatting and linting - no manual style rules needed
- Max cognitive complexity: 15 (enforced by Biome + lizard)
- Max function length: 60 lines (enforced by lizard)
- Max parameters: 5 (enforced by lizard)
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 · 54 lines · 522 tokens per session scan A d0d095713853
datadog-mcp CLAUDE.md is an instructions file published in the GitHub repository dreamiurg/datadog-mcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 522 tokens to every session, about $0.0021 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.
datadog-mcp CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| datadog-mcp CLAUDE.mddreamiurg/datadog-mcp | Instructions file | 2 | 1mo ago | MIT | A | 522 | Claude Code |
| 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 |