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SKILL verified MIT-0 Self-run

Skill Eval

skill-aws-samples-sample-agent-skill-eval-sample-agent-skill-eval · by aws-samples

Evaluate AI Agent Skills across safety, quality, reliability, and cost efficiency. Audit for security issues (secrets, injection, unsafe installs), test functional correctness with-skill vs without-skill, measure trigger precision, classify cost-efficiency tradeoffs, track version lifecycle, and generate unified grades. Use when evaluating a skill before installing, auditing marketplace skills, p…

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Install

$ agentstack add skill-aws-samples-sample-agent-skill-eval-sample-agent-skill-eval

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-aws-samples-sample-agent-skill-eval-sample-agent-skill-eval)

Reliability & compatibility

✓ Security review passed
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○ 4mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Skill Eval — Agent Skill Evaluation Framework

Evaluate Agent Skills across four dimensions: safety (audit), quality (functional), reliability (trigger), and cost efficiency (Pareto classification).

Quick Start

skill-eval audit /path/to/skill          # Is it safe?
skill-eval report /path/to/skill         # Full grade (audit + functional + trigger)
skill-eval functional /path/to/skill     # Quality: with-skill vs without-skill
skill-eval trigger /path/to/skill        # Reliability: activation precision

Decision Tree

  • "Is this skill safe?" → skill-eval audit
  • "Full evaluation with grade" → skill-eval report
  • "Full repo security review" → skill-eval audit --include-all
  • "Write eval cases" → skill-eval init , then edit evals/
  • "Compare two versions" → skill-eval compare
  • "Check for regressions" → skill-eval snapshot , then skill-eval regression
  • "Track changes" → skill-eval lifecycle --save --label v1.0

Commands

| Command | Purpose | |---------|---------| | audit | Security & structure scan (secrets, permissions, spec compliance) | | functional | Quality eval — runs prompts with and without skill, grades output | | trigger | Reliability eval — tests activation precision for relevant/irrelevant queries | | report | Unified grade combining audit (40%) + functional (40%) + trigger (20%) | | compare | Side-by-side comparison of two skills on the same eval cases | | snapshot | Save current audit as regression baseline | | regression | Check for score regressions against baseline | | lifecycle | Version tracking and change detection | | init | Generate eval scaffold from SKILL.md frontmatter |

For detailed flags and examples, see references/cli-reference.md.

Eval File Format

Functional evals (evals/evals.json):

[{"id": "case-1", "prompt": "...", "assertions": ["contains 'expected'"], "files": ["files/input.csv"]}]

Trigger queries (evals/eval_queries.json):

[{"query": "relevant question", "should_trigger": true}, {"query": "unrelated question", "should_trigger": false}]

Scoring

Grades: A (90+), B (80-89), C (70-79), D (60-69), F (<60). Findings deduct: CRITICAL −25, WARNING −10, INFO −2.

For the full security check reference and OWASP mapping, see references/security-checks.md.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.