Install
$ agentstack add skill-altertable-ai-skills-evaluating-skills ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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 →About
Evaluating & Creating Skills
Quick Start
- Validating: Run
skills validatefor structural checks - Scoring: Run
python scripts/score-skills.pyfor 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):
- Specification - Field constraints, structure rules
- Best Practices - Quality criteria
- Evaluating Skills - Evaluation methodology
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
- First-person descriptions - Use "Analyzes..." not "I analyze..."
- Missing trigger keywords - Agents can't find the skill
- Too long SKILL.md - Move details to references/ and add trigger context (e.g. "Read when working with X")
- Nested reference folders - Only one level allowed
- Abstract examples - Use concrete, real scenarios
- Noun-form names - Use "analyzing-data" not "data-analyzer"
- No Quick Start - Users abandon without immediate value
- Inconsistent terminology - Pick terms and stick with them
- Missing pitfalls section - Helps users avoid mistakes
- 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.
- Author: altertable-ai
- Source: altertable-ai/skills
- License: MIT
- Homepage: https://altertable.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.