Indexé par la communauté
Arize Skills
Agent skills for Arize — datasets, experiments, and traces via the ax CLI
Vue d’ensemble
A collection of AI agent skills for integrating Arize observability, tracing, and experiments into LLM applications.
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Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.
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 ax 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:
Install Arize skills from https://github.com/Arize-ai/arize-skills and use the arize-instrumentation skill to add tracing to this application.
The agent installs the skills, instruments your app, and verifies a trace reaches Arize AX — all in one session. You'll just need to provide your Arize credentials and approve the code changes.
Already have traces? Give your agent this prompt to install the skills and start debugging:
Install Arize skills 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)
Install all skills non-interactively — this is what the agent runs for the prompt above:
npx skills add Arize-ai/arize-skills --skill "*" --yes
Want to hand-pick skills, agent, and scope yourself? Drop the flags for the interactive wizard:
npx skills add Arize-ai/arize-skills
Both auto-detect your agent (Cursor, Claude Code, Codex, etc.) and symlink skills into place.
Option 2: git clone
macOS / Linux:
git clone https://github.com/Arize-ai/arize-skills.git
cd arize-skills
./install.sh --project ~/my-project
Windows (PowerShell):
git clone https://github.com/Arize-ai/arize-skills.git
cd arize-skill
Voir le texte original
# 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](https://arize.com) platform and helping teams debug LLM apps in production. They handle the `ax` 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](https://github.com/vercel-labs/skills#supported-agents). ## New to Arize? Start Here **Adding tracing to your app** — give your coding agent this prompt: > Install Arize skills from https://github.com/Arize-ai/arize-skills and use the arize-instrumentation skill to add tracing to this application. The agent installs the skills, instruments your app, and verifies a trace reaches Arize AX — all in one session. You'll just need to provide your Arize credentials and approve the code changes. **Already have traces?** Give your agent this prompt to install the skills and start debugging: > Install Arize skills 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) Install all skills non-interactively — this is what the agent runs for the prompt above: ```bash npx skills add Arize-ai/arize-skills --skill "*" --yes ``` Want to hand-pick skills, agent, and scope yourself? Drop the flags for the interactive wizard: ```bash npx skills add Arize-ai/arize-skills ``` Both auto-detect your agent (Cursor, Claude Code, Codex, etc.) and symlink skills into place. ### Option 2: git clone **macOS / Linux:** ```bash git clone https://github.com/Arize-ai/arize-skills.git cd arize-skills ./install.sh --project ~/my-project ``` **Windows (PowerShell):** ```powershell git clone https://github.com/Arize-ai/arize-skills.git cd arize-skill
Examiner la source
Prix et coûts d’utilisation
- Obtenir le skill
- Prix non confirmé
- L’utiliser
- Prérequis non confirmés. Consultez les frais d’agent, d’API et de services à la source.
- Licence
- MIT
- Prix non confirmé
- Le prix n’est pas confirmé. Les liens existants vers les sources et l’installation restent disponibles.
Gratuit à obtenir ne signifie pas gratuit à utiliser. Le prix ne constitue pas une évaluation de sécurité. Soumettre un prix →
Structure non vérifiée
Un dépôt répertorié ne prouve pas qu’un skill est installable. Vérifiez les instructions avant de proposer une installation.
Réviser avant installation: Éviter l’installation automatique
Licence: MIT
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 51 GitHub stars
- Stars/forks activity: 51 stars, 10 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.
Commencer par une petite tâche
- 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
- 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
- 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.
Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.
Source et conseils d’utilisation
Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.
- Dépôt source
- Arize-ai/arize-skills
- Licence
- MIT
- Version
- 1.0.0
- Dernier push GitHub
- 16 sept. 2026
- Registre mis à jour
- 17 sept. 2026
- Chemin des instructions
- Structure non vérifiée
Version déclarée dans le registre ; vérifiez les versions de la source.
Qualité
75/100
Solide
Confiance
67/100
Sandbox uniquement
Audit
81/100
Revue nécessaire
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Financial research output is not financial advice; require human review before any live investment decision
- Financial research output is not financial advice; require human review before any live investment decision.
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 51 GitHub stars
- Stars/forks activity: 51 stars, 10 forks; issue activity unavailable in current metadata
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- Verified installs
- —
- Résultats
- —
Copier ne signifie pas installer. Les compteurs nécessitent un rapport de réussite et ne garantissent pas la qualité globale.
Accès agent
L’API Registry fournit les signaux de décision, confiance, audit, cas d’usage et installation sans analyser l’interface.
Plus de détails
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},
{
"id": "cursor",
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"kind": "agent-prompt",
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"license": "MIT",
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"installSafety": "standard package or runtime install path",
"permissionSurface": "secrets or environment access, shell or command execution",
"documentation": "Strong README/SKILL.md context",
"agentOutcomes": "No agent outcome data yet"
},
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"failures": 0,
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"LLM",
"tracing",
"experiments",
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"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
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"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
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"metrics": {
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"penalties": [
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},
"audit": {
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"risk_level": "needs_review",
"risk_label": "Needs review",
"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"Financial research output is not financial advice; require human review before any live investment decision.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 51 GitHub stars",
"Stars/forks activity: 51 stars, 10 forks; issue activity unavailable in current metadata"
]
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"high-compliance environments without internal security review",
"No major risk signals from current metadata",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"Financial research output is not financial advice; require human review before any live investment decision."
],
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"Audit: 81/100 Needs review",
"Safety: 45/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
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"manifest": "https://www.openagentskill.com/api/registry/manifest/arize-ai-arize-skills"
}
}Pour le créateur
Source de la fiche
Indexé par la communauté
Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.
- Créateur
- Arize-ai
- Source
- Arize-ai/arize-skills
- Indexé par
- Index communautaire OpenAgentSkill
L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.
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