audit

---

name: audit description: Review AI-drafted issues for human approval argument-hint: [issue-number] (optional) allowed-tools: Bash, Read, Grep, Glob disable-model-invocation: true agent: audit-agent

Issue Audit Command

This command helps review issues labeled ai-drafted and either approve them for implementation or request changes.

Dynamic Context

Current AI-drafted issues: !gh issue list --label ai-drafted --json number,title --limit 10 2>/dev/null || echo "Could not fetch issues"

Context

Issues with ai-drafted label were groomed by the /groom command. They have:

• Expanded Description
• Acceptance Criteria
• Out of Scope

But the AI's decisions haven't been verified by a human yet.

Arguments

Issue number: $ARGUMENTS

Instructions

Step 1: Fetch Issues

If an issue number was provided above (not empty):

• Skip to Step 2 with that issue number

If no issue number was provided:

1. Fetch issues with ai-drafted label:

   gh issue list --label ai-drafted --json number,title --limit 20
   

2. If no issues found, inform the user and exit.

3. Present the issues and ask the user to select which ones to audit

Step 2: Review Each Issue

For each selected issue:

1. Fetch full issue details:

   gh issue view <number> --json number,title,body,labels
   

2. Present the issue content clearly formatted:

   • Title
   • Description
   • Acceptance Criteria
   • Out of Scope
   • Any other sections

3. Optionally research context if user asks:

   • Use Grep/Glob/Read to verify technical details
   • Check if acceptance criteria are realistic
   • Verify scope boundaries make sense

4. Use the review checklist from .claude/skills/audit/templates/review-criteria.md:

   • Description quality
   • Acceptance criteria testability
   • Out of scope clarity
   • Technical accuracy
   • Completeness

5. Ask the user for a verdict with these options (in this order):

   • Approve: Remove ai-drafted label, issue is ready for implementation
   • Approve with edits: Make minor changes, then remove ai-drafted
   • Send back for re-grooming: Move back to needs-details, remove ready and ai-drafted
   • Skip: Review later, no changes

Step 3: Apply Updates

Based on user's verdict:

Approve:

gh issue edit <number> --remove-label ai-drafted

Approve with edits:

• Ask user what changes to make
• Update issue body: gh issue edit <number> --body "<updated body>"
• Remove label: gh issue edit <number> --remove-label ai-drafted

Send back for re-grooming:

gh issue edit <number> --remove-label ai-drafted --remove-label ready --add-label needs-details

Optionally add a comment explaining what needs to change:

gh issue comment <number> --body "Sent back for re-grooming: <reason>"

Skip:

• No changes, move to next issue

Step 4: Summary

After all issues are processed, provide a summary:

• Number of issues approved
• Number sent back for re-grooming
• Number skipped
• Links to updated issues

Notes

• This is a lighter-weight review than /groom - no subagents needed
• Focus on verifying the AI's decisions were sound
• Check that acceptance criteria are testable and complete
• Verify out-of-scope items make sense
• If something looks wrong, ask clarifying questions before deciding