by modular · Agent Tool · ★ 204
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
/plugin marketplace add modular/skills
/plugin install skills@modularTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
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 | 204 |
| Forks | 21 |
| Language | Python |
| Category | Agent Tool |
| Quality Score | 65/100 |
| Open Issues | 8 |
| Last Updated | 2026-10-22 |
| Created | 2026-02-25 |
| Platforms | python |
| Est. Tokens | ~14k |
Modular skills These are the official AI agent skills from Modular for working with the Modular Platform, including MAX and Mojo. They follow the Agent Skills Standard. Any AI coding agent can use them to write Mojo, or to import, serve, and measure models on MAX. Install Pick the instructions for your agent: Claude Code For a subset, install to work with models on MAX, or to write Mojo.
These tools work well together with skills for enhanced workflows:
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 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: