| name | audit |
| description | Run complete system health audit of DQIII8 — checks DB integrity, agent performance, pipeline connections, error log, and services. Produces a scored Markdown report. |
| command | /audit |
| allowed-tools | ["Bash","Read","Grep"] |
| user-invocable | true |
| auto-invoke | [{"when":"7+ days since last audit OR 3+ unresolved errors detected in session","action":"Run /audit automatically to surface problems"}] |
/audit -- System Health Audit
Triggers the auditor agent to analyze database/dqiii8.db and produce a structured health report.
Usage
/audit
/audit --period 30d # analyze last 30 days instead of default 7
/audit --agent python-specialist # scope to one agent
What it does
- Queries all metric tables:
agent_actions, error_log, sessions, skill_metrics
- Uses views
agent_performance and error_keywords_freq
- Computes an overall health score (0-100)
- Writes a Markdown report to
database/audit_reports/audit-YYYY-MM-DD-HH.md
- Inserts a summary row in the
audit_reports table
- Prints a one-line summary to the terminal
Output
[AUDIT] Score: 87/100 | Actions: 106 | Success: 100.0% | Failures: 0 | Unresolved errors: 0
Report: database/audit_reports/audit-2026-03-11-14.md
Score interpretation
| Score | Status | Cadencia recomendada |
|---|
| > 80 | HEALTHY | next audit in 7 days |
| 60-80 | WARNING | next audit in 3 days |
| < 60 | CRITICAL | next audit in 1 day, notify user |
Auto-trigger
The stop.py hook automatically triggers /audit when 7+ days have passed since the last report in audit_reports. Also auto-invoked when errors accumulate during a session.
Agent
Handled by: .claude/agents/auditor.md
Model: claude-sonnet-4-6