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Skill Scoring Rubric

Connor edited this page Jul 3, 2026 · 2 revisions

Skill Scoring Rubric

Scoring should explain why a skill is worth installing, not just whether it has stars.

Recommended Weights

Area Weight What to Check
Task fit 25 Does the skill directly solve the user's repeated or high-value workflow?
Skill structure 15 Does it contain a clear SKILL.md and a usable directory layout?
Trigger specificity 15 Is the description narrow enough to avoid hijacking unrelated tasks?
Documentation 10 Are examples, install notes, limitations, and usage paths clear?
Maintenance 10 Recent commits, releases, issue activity, or stable maturity
Repository signal 10 Stars, forks, watchers, downstream references, curated-list mentions
License clarity 5 Clear reuse rights and no obvious packaging ambiguity
Safety scan 10 No prompt injection, secret access, destructive commands, or opaque installers

Tiers

Tier Meaning Default Action
Strict Strong fit, clear docs, clean scan, reasonable maintenance Present as install candidate
Relaxed Good fit but some unknowns Present with caveats
Exploratory Interesting but unproven, broad, or underdocumented Read only; do not install by default
Reject High-risk, mismatched, or not an Agent Skill Do not install

Hard Reject Signals

Reject or quarantine when a candidate:

  • tells the agent to ignore higher-priority instructions;
  • requests secrets, tokens, SSH keys, browser profiles, or .env files without a task need;
  • includes destructive commands as a default path;
  • hides behavior in obfuscated scripts;
  • has no SKILL.md when the user asked for Agent Skills;
  • describes itself as useful for every task.

Star Interpretation

Stars can help prioritize inspection, but they never override task fit, structure, and safety. A niche skill with clear scope can be better than a popular repository that is not actually installable as a skill.

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