Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Arize-ai · Codex Skill · ★ 51
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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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. Works with Cursor, Claude Code, Codex, GitHub Copilot, Windsurf, and 40+ other agents. New to Arize? Start Here Adding tracing to your app — give your coding agent this prompt: Follow the instructions from https://arize.com/docs/PROMPT.md and ask me questions as needed. This walks through a two-phase flow: analyze your codebase for LLM providers and frameworks, then add Arize AX tracing with the right instrumentors. No skill installation needed. Already have traces? Give your agent this prompt to install the skills and start debugging: Install the Arize skills plugin from https://github.com/Arize-ai/arize-skills, then use the arize-trace skill to export and analyze recent traces from my project. Summarize any errors or latency issues you find. Installation Option 1: npx (recommended) Both
| Stars | 51 |
| Forks | 10 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.8637804801558/100 |
| Open Issues | 31 |
| Last Updated | 2026-09-17 |
| Created | 2026-03-05 |
| Platforms | claude-code, cli, codex, python |
| Est. Tokens | ~16k |
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arize-skills is Agent skills for Arize — datasets, experiments, and traces via the ax CLI. It is categorized as a Codex Skill with 51 GitHub stars.
arize-skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, ai-observability.
You can find installation instructions and usage details in the arize-skills GitHub repository at github.com/Arize-ai/arize-skills. The project has 51 stars and 10 forks, indicating an active community.
arize-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to arize-skills on Agent Skills Hub include tma1, langfuse-mcp, agent-designer. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: