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Caliper
Know if your agent skill actually works. A lightweight evaluation harness that tracks a success rate across Claude Code, Codex, Pi, and Hermes.
Preis unbestätigt★ 36 GitHub-StarsVerzeichnis aktualisiert · 1. Sept. 2026evaluationtestingbenchmarking
Übersicht
Lightweight evaluation harness for agent skills to track success rates across multiple agent runtimes.
Vollständige Dokumentation lesen
Quelldokumentation, keine Anweisungen für diese Website. Vor dem Ausführen von Befehlen die Berechtigungen prüfen.
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
Originaltext anzeigen
# 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 paQuelle prüfen
Preis und Betriebskosten
- Skill beziehen
- Preis unbestätigt
- Ausführen
- Anforderungen unbestätigt. Agenten-, API- und Dienstkosten an der Quelle prüfen.
- Lizenz
- MIT
- Preis unbestätigt
- Der Preis ist noch nicht bestätigt. Vorhandene Quell- und Installationslinks bleiben verfügbar.
Kostenloser Bezug bedeutet nicht kostenlosen Betrieb. Preise sind keine Sicherheitsbewertung. Preisinformation einreichen →
Quellstruktur ungeprüft
Ein gelistetes Repository beweist keinen installierbaren Skill. Prüfe zuerst die Anleitungen.
Vor Installation prüfen: Automatische Installation vermeiden
Lizenz: 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
Tools sind Metadatenhinweise, keine getestete Kompatibilität. Prompts sind Vorschläge.
Mit einer kleinen Aufgabe beginnen
- 1Quelle lesen und Eingaben, Ergebnisse, Abhängigkeiten sowie Berechtigungen prüfen.
- 2Agent um einen Plan bitten. Einrichtung und Kosten vor einem isolierten Test genehmigen.
- 3Ergebnisse und geänderte Dateien prüfen. Nur tatsächliche Ausführungen melden und die Quellrevision aufbewahren.
Prüfe Abhängigkeiten, API-Schlüssel und externe Kosten in der Quelle. Öffentliche Repositories bedeuten nicht, dass alle Dienste kostenlos sind.
Quelle und Nutzungshinweise
Erfasst
Metadaten und Prüfungen dienen der Orientierung. Beliebtheit, Quellenerfassung und erfolgreiche Ausführung sind verschiedene Fakten.
- Quell-Repository
- edonadei/caliper
- Lizenz
- MIT
- Version
- 1.0.0
- Letzter GitHub-Push
- 26. Juli 2026
- Verzeichnis aktualisiert
- 1. Sept. 2026
- Anleitungspfad
- Quellstruktur ungeprüft
Version aus den Verzeichnismetadaten; Releases der Quelle prüfen.
Qualität
69/100
Vielversprechend
Vertrauen
65/100
Nur Sandbox
Audit
77/100
Prüfung nötig
- 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
- —
- Ergebnisse
- —
Kopieren ist keine Installation. Zahlen benötigen eine Erfolgsmeldung und garantieren keine allgemeine Qualität.
Agent-Zugang
Die Registry API stellt Entscheidungs-, Vertrauens-, Audit-, Use-Case- und Installationssignale ohne UI-Scraping bereit.
Weitere Details
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{
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{
"id": "cursor",
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"kind": "agent-prompt",
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"handoff_url": "https://www.openagentskill.com/api/skills/edonadei-caliper/install",
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"lastPushed": "3mo since push",
"license": "MIT",
"repository": "https://github.com/edonadei/caliper",
"install": "Skill source structure is not confirmed in the registry. Inspect the source and identify valid skill instructions before proposing an installation. A repository URL or GitHub stars do not prove installability.",
"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"
},
"outcome_evidence": {
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"label": "No agent outcome data yet"
},
"auto_install": {
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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",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"agent_proven": {
"version": "agent-proven-v1",
"score": 0,
"tier": "unproven",
"label": "Needs first agent run",
"summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
"metrics": {
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"installAttempts": 0,
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]
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"audit": {
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"warnings": [
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
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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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"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
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"label": "Promising"
},
"supply": {
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"scenario": "Coding agents",
"maintenance": "3mo since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
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"production agents without a repository review",
"Low GitHub adoption signal",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution"
],
"agent_contract": {
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"Audit: 77/100 Needs review",
"Safety: 41/100 Avoid automatic install",
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],
"expected_agent_output": {
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"manifest": "https://www.openagentskill.com/api/registry/manifest/edonadei-caliper"
}
}Für Ersteller
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- Ersteller
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- Quelle
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- Indexiert von
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