crew-gates
SkillAI & modelsGate report, what the tool-level gates actually did, and which rules nothing has tripped.
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the crew-gates skill
What this skill tells your AI
The instructions your AI receives, as published by byerlikaya/claude-starter-kit in kit/skills/crew-gates/SKILL.md and read by ahel’s review.
Run the report with the Bash tool, not PowerShell, and read it back to the user. The report is a file-install tool:
a plugin install carries no eval/ commands (only eval/lib), by design — there, say so plainly and stop.
bash .claude/eval/gate-report.sh $ARGUMENTS
Then interpret it in two sentences, in the user's language:
- Exit 3 (no log). Say plainly that gate activity is not measured — not that the gates never fired. Offer the one-line opt-in the report prints. Do not present the rule count as if it were evidence of anything.
- Exit 0. Lead with the verdict split (how often the gates asked vs blocked). Then the notable rules: a rule
firing repeatedly is worth a conversation ("something keeps reaching for this"), and the not-observed list is
a prompt to check whether a rule can still match, not a delete list.
smoke-testis what proves a rule can fire; this only shows what tripped it.
Never infer that a gate works because it appears in the report, or that it is broken because it does not.
Signals
- GitHub stars
- 24
- Forks
- 4
- Last commit
- Sep 2026
Advanced
- Item type
- skill
- Key
crew-gates- Source
- github.com/byerlikaya/claude-starter-kit
github.com/byerlikaya/claude-starter-kit
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