Skill: Audit Domain 8 — Legal / Privacy / Compliance Signals

SkillDev tools

Audit the legal/privacy/compliance signals — privacy policy alignment, data retention, GDPR/CCPA basics, cookie consent, export/delete capabilities. Run as part of /audit Phase E.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Skill: Audit Domain 8 — Legal / Privacy / Compliance Signals skill

What this skill tells your AI

The instructions your AI receives, as published by wolverin0/clawtrol in .claude/skills/audit-domain-08-compliance/SKILL.md and read by ahel’s review.

This skill audits one specific domain. It runs in an isolated subagent context spawned by the audit-orchestrator. The subagent loads this skill and the audit rules, runs against the audit scope, and returns a ~2K-token findings report.

Pre-flight

view @.claude/context/audit-rules.md

If you have findings from previous audit phases (hard stops, Tambon, blind spots), the orchestrator passes them as input. Use them — don't re-discover findings other phases already produced. Specifically:

  • Hard stops related to this domain: H1, H4
  • Blind spots that route to this domain: (none — this domain has no blind-spot classes routing to it)

If the orchestrator didn't pass you these inputs, do NOT re-run the hard-stops or blind-spots walks. Audit your domain only and trust the orchestrator to stitch.

Scope

Privacy policy / ToS presence and alignment, data retention policy, GDPR/CCPA basics (right-to-export, right-to-delete), cookie consent (if EU users), audit logs for sensitive data access.

Key questions to answer

For each, find the evidence and report it. The questions are the audit's spine — every finding maps back to one of them.

  1. Is there a privacy policy / ToS, and does the code match what it claims?
  2. Is there a data retention policy, and are old records actually deleted?
  3. Can a user export their data (GDPR Article 20)?
  4. Can a user delete their data (GDPR Article 17)?
  5. Is sensitive-data access audit-logged?
  6. Are cookie consent flows present (if applicable)?

Files most likely to have findings

Don't read everything. Read these files first:

  • privacy policy file (if in repo)
  • data export / delete endpoints
  • audit log infrastructure
  • cookie / consent components

If you exhaust these and the budget allows, expand outward. Otherwise, report what you found and note what you didn't read.

Process

  1. Re-read the rules. R1-R7 apply to every finding. Especially R2 (quote before cite) — for a domain skill running in a subagent, the subagent's context is fresh; don't assume you remember a file from a previous turn.

  2. Walk the key questions. For each question, run the relevant detection commands (greps, file reads, schema lookups). Capture evidence at path:line. Verify by reading the actual code.

  3. Cross-reference orchestrator inputs. If the orchestrator passed hard-stops or blind-spots findings tagged for this domain, include them in your report. Don't re-investigate; just include with the provided evidence.

  4. Triage. For each finding, set severity per the audit rubric and exploitability per R4.

  5. Produce the domain report.

Output format

═══════════════════════════════════════════════════════════════════════
  DOMAIN 8: Legal / Privacy / Compliance Signals
═══════════════════════════════════════════════════════════════════════

▶ FOUNDER VIEW

[2-4 sentences in plain English. Sample tone:]
Are you legally OK? Most vibe-coded apps haven't thought past 'login works.'

▶ TECHNICAL EVIDENCE

Scope of this domain audit:
  Files read:        <count>
  Files skipped:     <count> (reason: outside scope or low-priority)

Findings:

  F-8.1 — <one-line title>
    Severity:        Critical | High | Medium | Low
    Exploitability:  EXPLOITABLE-NOW | EXPLOITABLE-LOW-EFFORT | BAD-PRACTICE | UNKNOWN
    Hard-stop:       H<N> if applicable
    Blind-spot:      B<N> if applicable

    Evidence:
      <path:line>  <one-line description>

    What's wrong:
      <one paragraph>

    Why it matters:
      <one sentence>

    Recommended fix:
      <one paragraph; for full fix prompt, use /audit-fix F-8.1>

    Verification after fix:
      <command>

  F-8.2 ...

Summary:
  Total findings: <count>
  By severity:    <counts>
  Most urgent:    <which finding ID>

[SECTION COMPLETE: Domain 8]

If the domain has zero findings:

▶ TECHNICAL EVIDENCE

  ✅ No findings in this domain.

  Verification:
    <commands run that produced no signal>

  Confidence: High | Medium | Low
  Reason for low confidence: <if applicable>

Failure modes to refuse

  • ❌ Producing findings without path:line citations (R1)
  • ❌ Citing a path you didn't read (R2)
  • ❌ Re-running hard-stops or blind-spots walks (orchestrator did this)
  • ❌ Including findings outside this domain's scope (route them to the right domain instead)
  • ❌ Soft-pedaling a Critical to Medium because "it's a small app" (R3)
  • ❌ Skipping section completion marker (R6)

Signals

GitHub stars
42
Forks
7
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
audit-domain-08-compliance
Source
github.com/wolverin0/clawtrol