Indexé par la communauté
Caliper
Know if your agent skill actually works. A lightweight evaluation harness that tracks a success rate across Claude Code, Codex, Pi, and Hermes.
Vue d’ensemble
Lightweight evaluation harness for agent skills to track success rates across multiple agent runtimes.
Lire la documentation complète
Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.
Caliper: Know if your agent skill actually works
Caliper is a lightweight evaluation harness for agent skills. Write a short spec of what "good" looks like, run it again and again, and get a success rate you can track. It also runs every task without the skill, so you learn whether the skill is doing the work or the base agent would have passed anyway. Works with the agent you already use: Claude Code, Codex, Pi, or Hermes.
Teach your agent to evaluate:
npx skills@latest add edonadei/caliper
Or run it yourself:
caliper run commit-commands.eval.yaml --k 3 --baseline
You write a spec, a few lines of YAML describing what "working" means, which you hand-write or have /grill-skill generate for you. With --baseline, Caliper runs each task with and without the skill and diffs the two runs task by task:
Agent skills are hard to test. A skill that works on your machine, on this prompt, today, might fail tomorrow after a model update or a one-line prompt edit. Caliper makes reliability measurable: define what success looks like, run the skill repeatedly, and get a success rate you can track over time.
Use Caliper to answer questions like:
- Did my prompt edit actually improve the skill?
- Is the skill doing the work, or would the base agent pass without it?
- Does it still pa
Voir le texte original
# Caliper: Know if your agent skill actually works
[](https://pypi.org/project/caliper-eval/)
[](https://pypi.org/project/caliper-eval/)
[](https://skills.sh/edonadei/caliper)
Caliper is a lightweight evaluation harness for agent skills. Write a short spec of what "good" looks like, run it again and again, and get a **success rate** you can track. It also runs every task _without_ the skill, so you learn whether the skill is doing the work or the base agent would have passed anyway. Works with the agent you already use: Claude Code, Codex, Pi, or Hermes.
**Teach your agent to evaluate:**
```bash
npx skills@latest add edonadei/caliper
```
**Or run it yourself:**
```bash
caliper run commit-commands.eval.yaml --k 3 --baseline
```
You write a spec, a few lines of YAML describing what "working" means, which you hand-write or have `/grill-skill` generate for you. With `--baseline`, Caliper runs each task with and without the skill and diffs the two runs task by task:
<!-- Terminal output of `caliper compare`, rendered to SVG so the box-drawing
table stays aligned on every screen. Regenerate with:
python docs/render_readme_samples.py -->

---
Agent skills are hard to test. A skill that works on your machine, on this prompt, today, might fail tomorrow after a model update or a one-line prompt edit. Caliper makes reliability measurable: define what success looks like, run the skill repeatedly, and get a success rate you can track over time.
Use Caliper to answer questions like:
- Did my prompt edit actually improve the skill?
- Is the skill doing the work, or would the base agent pass without it?
- Does it still paExaminer 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
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 36 GitHub stars
- Stars/forks activity: 36 stars, 4 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
- edonadei/caliper
- Licence
- MIT
- Version
- 1.0.0
- Dernier push GitHub
- 26 juil. 2026
- Registre mis à jour
- 1 sept. 2026
- Chemin des instructions
- Structure non vérifiée
Version déclarée dans le registre ; vérifiez les versions de la source.
Qualité
69/100
Prometteur
Confiance
65/100
Sandbox uniquement
Audit
77/100
Revue nécessaire
- Dependency or permission surface needs review
- Permission surface may require sandboxing
- Low GitHub adoption signal
- Quality score needs review
- Permission surface needs review: secrets or environment access, shell or command execution
- GitHub adoption: 36 GitHub stars
- Stars/forks activity: 36 stars, 4 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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"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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"Stars/forks activity: 36 stars, 4 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"
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"score": 0,
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"label": "Needs first agent run",
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"metrics": {
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"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"GitHub adoption: 36 GitHub stars",
"Stars/forks activity: 36 stars, 4 forks; issue activity unavailable in current metadata",
"Dependency/runtime risk: command execution surface, credential or environment access"
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"supply": {
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"scenario": "Coding agents",
"maintenance": "3mo since push",
"risk": "Needs review"
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"alternative_skills": [],
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"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
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"Permission surface needs review: secrets or environment access, shell or command execution"
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"agent_contract": {
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"Audit: 77/100 Needs review",
"Safety: 41/100 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/edonadei-caliper"
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}Pour le créateur
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- Créateur
- edonadei
- Source
- edonadei/caliper
- Indexé par
- Index communautaire OpenAgentSkill
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