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skill-issue

Find out why a coding-agent skill won't fire — grade each SKILL.md A–F on activation, simulate which skill a prompt triggers, and flag collisions where one silently shadows another.

Published by sickn33 ↗sickn33/agentic-awesome-skills

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skill-issue

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Use skill-issue to audit the SKILL.md files in [skills directory] and report activation grades, likely collisions, and recommended trigger-description changes for [example prompts].

Required inputs

  • [skills directory]
  • [example prompts]

User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗

SKILL.md

id: skill-issuename: skill-issuedescription: "Find out why a coding-agent skill won't fire — grade each SKILL.md A–F on activation, simulate which skill a prompt triggers, and flag collisions where one silently shadows another."category: metarisk: safesource: communitysource_repo: mishanefedov/skill-issuesource_type: communitydate_added: "2026-06-02"author: mishanefedovtags: [skills, linter, activation, meta, ci]tools: [claude, cursor, gemini, codex]license: "MIT"license_source: "https://github.com/mishanefedov/skill-issue/blob/main/LICENSE"

skill-issue — skill activation audit

Overview

A coding agent decides which skill to run from each skill's always-on name + description. A skill can be perfectly implemented and still never fire because its description is too vague to match how people phrase requests, or because a more specific sibling silently wins. skill-issue audits exactly that surface, grading each skill A–F, simulating which skill fires for a given prompt, and reporting collision clusters where one skill shadows another.

When to Use This Skill

  • Use when a skill you wrote never seems to trigger and you don't know why
  • Use when the user says "why isn't my skill firing", "which skill fires for X", or "audit my skills"
  • Use after writing or installing a new SKILL.md, to investigate likely activation issues
  • Use in CI to fail a PR that adds a skill with empty/duplicate/colliding metadata

How It Works

Install the CLI (npm i -g @misha_misha/skill-issue, brew install mishanefedov/skill-issue/skill-issue, or npx @misha_misha/skill-issue), then:

skill-issue ~/.claude/skills                       # grade every skill A–F (+ collisions summary)
skill-issue ~/.codex/skills --why "deploy to prod" # which skill fires for this prompt, and why
skill-issue <dir> --collisions                     # clusters of skills that shadow each other
skill-issue <dir> --fix                            # append a "Use when …" clause to weak descriptions
skill-issue <dir> --json                           # machine-readable; exits non-zero on errors

Offline heuristic by default; add --llm to judge with a local claude/codex CLI.

Examples

Example 1: Audit installed skills

skill-issue ~/.claude/skills
# F  deploy-helper  ✗ no description — can never fire
# C  shipit         ! no "use when …" trigger clause
# A  rollback-prod  heuristic: trigger wording present; actual activation unverified

Example 2: Diagnose a collision

skill-issue ~/.claude/skills --why "deploy the app to prod"
#  1. shipit       0.74  ← would fire
#  2. land-deploy  0.69  (margin 0.05 — ambiguous, likely collision)

Limitations

  • Offline scoring is heuristic and should be treated as a triage signal, not a final quality verdict.
  • Collision reports highlight likely shadowing, but agent-specific routers can weight metadata differently.
  • The --fix mode can improve weak trigger wording, but generated edits still need maintainer review before committing.

Execution boundaries

A score or simulated trigger is not proof that a native host activates a skill. Record actual client/version observations separately. Use --fix only within authorized paths after inspecting a proposed diff; preserve original metadata. --llm may send content through the configured model provider and needs the corresponding data/cost scope.