| name | bouncer |
| description | On-demand Gemini quality audit for ANY work: code, videos, stories, advice, research, creative output. Use when user says "audit", "bouncer", "score", "score this", "score using gemini", "check my work", "quality check", "review my changes", "rate this", "how did I do". Quick mode (default): Gemini scores based on context. Fast (5-10s). Deep mode ("deep audit", "verify everything"): Gemini independently reads files, runs tests, searches code, verifies every claim (30-120s).
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Bouncer - On-Demand Quality Audit
Works for any task type: code, creative work, videos, advice, research, operations.
Mode Selection
- Quick (default):
/bouncer or "score" or "audit"
- Deep:
/bouncer deep or "deep audit" or "verify everything"
Quick Audit
Step 1: Gather context (adapt to the task type)
For code changes: Run git diff:
git diff --stat --no-color
git diff --no-color
git diff --cached --stat --no-color
git diff --cached --no-color
For non-code work (videos, stories, advice, research): Skip git diff. The assistant_text summary is the primary input.
Step 2: Read CLAUDE.md from the current working directory (if it exists).
Step 3: Build a JSON object and pipe it to the bouncer script:
assistant_text: THE MOST IMPORTANT FIELD. A thorough summary of what you did this session. Be specific:
- For code: files changed, bugs fixed, tests written, commands run
- For creative: what you created, the goal, the audience, key decisions made
- For videos: the script/story, visual choices, duration, format, iterations
- For advice: the question asked, your recommendation, reasoning, alternatives considered
- For research: what you found, sources checked, conclusions drawn
- CRITICAL: If the staged diff includes changes from prior sessions, note this.
diff_stat: Git diff stat (empty string if no code changes or not applicable)
diff_text: Git diff (empty string if not applicable)
context: The CLAUDE.md contents (empty string if no CLAUDE.md)
Step 4: Run:
echo '<the JSON object>' | python3 ~/.claude/skills/bouncer/scripts/bouncer-check.py
Step 5: Present results exactly as printed.
Deep Audit
For code-heavy tasks where you want Gemini to independently verify claims.
Step 1: Gather context (same as quick audit).
Step 2: Read CLAUDE.md from the current working directory (if it exists).
Step 3: Build a JSON object with:
assistant_text: Same thorough summary as quick audit
diff_text: Git diff (empty string if not applicable)
context: The CLAUDE.md contents (empty string if no CLAUDE.md)
cwd: The current working directory (absolute path)
Step 4: Run:
echo '<the JSON object>' | python3 ~/.claude/skills/bouncer/scripts/bouncer-deep.py
Step 5: Present ALL results exactly as printed.
Important
- Do NOT skip or filter any output from the scripts.
- If the script fails (missing API key, import error), show the error to the user.
- The
assistant_text field should be YOUR honest, detailed summary. Not a copy of user messages. The richer the summary, the better the audit.
- Deep audit takes 30-120 seconds. Tell the user it will take a moment.
- For non-code tasks,
assistant_text carries all the weight. Make it thorough.