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SKILL verified MIT Self-run

Evaluating Skills

skill-altertable-ai-skills-evaluating-skills · by altertable-ai

Evaluates and creates agent skills following best practices. Use when reviewing, writing, or refactoring skills, or asking about skill structure, format, or specification.

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Install

$ agentstack add skill-altertable-ai-skills-evaluating-skills

✓ 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 →

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Reliability & compatibility

Security review passed
0 installs to date
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2mo 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

Evaluating & Creating Skills

Quick Start

  1. Validating: Run skills validate for structural checks
  2. Scoring: Run python scripts/score-skills.py for spec-grounded LLM evaluation

When to Use This Skill

  • User wants to create a new skill
  • User asks to review or evaluate an existing skill
  • User needs help with skill format or structure
  • User asks about skill best practices
  • User wants to refactor or improve a skill
  • Keywords: "skill", "SKILL.md", "create skill", "evaluate skill", "skill quality"

Authoritative References

The scorer grounds evaluation against these live documents (with vendored snapshot fallback):

Skill Anatomy

skill-name/                    # Gerund form (verb-ing)
├── SKILL.md                   # Main documentation ( --validate_only

Full Scoring (with spec grounding)

uv run python scripts/score-skills.py 

Batch All Skills

uv run python scripts/score-skills.py . --scan_all

Common Pitfalls

  1. First-person descriptions - Use "Analyzes..." not "I analyze..."
  2. Missing trigger keywords - Agents can't find the skill
  3. Too long SKILL.md - Move details to references/ and add trigger context (e.g. "Read when working with X")
  4. Nested reference folders - Only one level allowed
  5. Abstract examples - Use concrete, real scenarios
  6. Noun-form names - Use "analyzing-data" not "data-analyzer"
  7. No Quick Start - Users abandon without immediate value
  8. Inconsistent terminology - Pick terms and stick with them
  9. Missing pitfalls section - Helps users avoid mistakes
  10. Time-sensitive content - Skills should be evergreen

References

  • [skill-checklist.md](references/skill-checklist.md) - Read when scoring or reviewing a skill to get the full rubric breakdown, anti-patterns, and evaluation template
  • [examples.md](references/examples.md) - Read when creating a new skill or refactoring an existing one to see concrete patterns from well-designed skills

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.