by datadog-labs · Agent Tool · ★ 184
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Featured in: Claude Code Skills
npx skills add datadog-labs/agent-skills --list --full-depthTaken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 184 |
| Forks | 37 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 65/100 |
| Open Issues | 5 |
| Last Updated | 2026-11-09 |
| Created | 2026-02-03 |
| Platforms | python |
| Est. Tokens | ~17k |
Datadog Skills for AI Agents Datadog skills for Claude Code, Codex CLI, Gemini CLI, Cursor, Windsurf, OpenCode, and other AI agents. Skills Install Setup Pup Pre-built binaries are also available from the latest release. Add Skill(s) For JUST : bash npx skills add datadog-labs/agent-skills \ --sk
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: