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.