by Arize-ai · Codex Skill · ★ 72
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npx skills add Arize-ai/arize-skills
npx skills add Arize-ai/arize-skills --skill "*" --yesTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. 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 | 72 |
| Forks | 14 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 69/100 |
| Open Issues | 40 |
| Last Updated | 2026-11-05 |
| Created | 2026-03-05 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~16k |
Arize Skills Skills that guide AI coding agents to help you add observability, run experiments, and optimize prompts for your LLM applications. These skills encode the workflows we've refined building the Arize platform and helping teams debug LLM apps in production. They handle the CLI flags, data shape quirks, and multi-step recipes so you don't have to.
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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: