feature-gap-agent and /posture command both reference quality area count. Update both to reflect Token Efficiency as the 8th area. Tests: 543 passing. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
3.7 KiB
| name | description | argument-hint | allowed-tools | model |
|---|---|---|---|---|
| config-audit:posture | Quick configuration health assessment — scorecard with A-F grades | [path] [--drift] [--plugin-health] | Read, Write, Glob, Grep, Bash | sonnet |
Config-Audit: Health Assessment
Quick, deterministic configuration health scorecard. No agents needed — runs all scanners + scoring in one pass.
What the user gets
- Health grade (A-F) with plain-language explanation
- Per-area breakdown for 8 quality areas (incl. Token Efficiency) with grades and actionable notes
- Opportunity count — how many features could enhance their setup (not a grade)
- Grade-appropriate next steps
Implementation
Step 1: Determine target
Parse $ARGUMENTS for a path (default: current working directory). Resolve relative paths.
Tell the user:
## Configuration Health
Running quick assessment{if path != cwd: " on `{path}`"}...
Step 2: Run posture scanner
Run silently — all output goes to a file:
node ${CLAUDE_PLUGIN_ROOT}/scanners/posture.mjs <target-path> --json --output-file /tmp/config-audit-posture-$$.json 2>/dev/null; echo $?
If exit code is non-zero, tell the user: "Assessment couldn't complete. Check that the path exists and contains Claude Code configuration files."
Step 3: Read and interpret results
Read the JSON output file using the Read tool. Extract:
overallGrade,opportunityCountareas[]— each withname,grade,score,findingCount
Step 4: Present the scorecard
**Health: {overallGrade}** | {qualityAreaCount} areas scanned
{grade-based context — pick ONE:}
- A: "Your configuration is correct and well-maintained."
- B: "Solid configuration with minor improvements available."
- C: "Working configuration with some issues worth addressing."
- D: "Configuration needs attention in several areas."
- F: "Significant issues found — addressing these will improve your experience."
### Area Scores
| Area | Grade | Score | Findings | |
|------|-------|-------|----------|-|
{for each area EXCEPT Feature Coverage:}
| {name} | {grade} | {score}/100 | {findingCount} | {plain-language note: A="Excellent", B="Good", C="Needs work", D/F="Issues found"} |
{if opportunityCount > 0:}
{opportunityCount} feature opportunities available — run `/config-audit feature-gap` for context-aware recommendations.
### What's next
Grade A or B:
Your configuration health is strong. Re-run after major changes to catch regressions.
For feature recommendations: `/config-audit feature-gap`
Grade C:
Run `/config-audit fix` to auto-fix what's possible, then `/config-audit plan` for a prioritized improvement path.
Grade D or F:
Start with `/config-audit fix` — it handles the most impactful issues automatically with backup and rollback.
Then run `/config-audit plan` for a step-by-step path to a better configuration.
Step 5: Optional sections
If --drift flag is present:
Run drift comparison silently:
node ${CLAUDE_PLUGIN_ROOT}/scanners/drift-cli.mjs <target-path> 2>/dev/null
Read stdout output and append a "Configuration Drift" section showing what changed since the last baseline.
If --plugin-health flag is present:
Run plugin health scanner silently:
node ${CLAUDE_PLUGIN_ROOT}/scanners/plugin-health-scanner.mjs <target-path> 2>/dev/null
Read stdout output and append a "Plugin Health" section.
If both flags: Use scanners/lib/report-generator.mjs to produce a unified markdown report.
Step 6: Save to session (if active)
If a config-audit session exists, save results:
node ${CLAUDE_PLUGIN_ROOT}/scanners/posture.mjs <target-path> --json --output-file ~/.claude/config-audit/sessions/<session-id>/posture.json 2>/dev/null