Skill: Audit Domain 3 — Database & Data Layer
SkillDatabases & dataAudit the database and data layer — schema design, query patterns, migrations, indexing, RLS, soft-delete, transactions. Run as part of /audit Phase E.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Skill: Audit Domain 3 — Database & Data Layer skill
What this skill tells your AI
The instructions your AI receives, as published by wolverin0/clawtrol in .claude/skills/audit-domain-03-database/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, H7
- Blind spots that route to this domain: B3, B4
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
Schema design, foreign keys, constraints, indexing, query patterns (N+1, full-table scans), migrations, soft-delete handling, transactions, RLS / row-level 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.
- Are foreign keys defined and enforced?
- Are indexes present on every column queried by WHERE / JOIN / ORDER BY?
- Are queries free of N+1 patterns?
- Are migrations forward-only, or do they get edited after running?
- Is RLS enabled on user-data tables (Postgres), or app-level enforcement provably correct?
- Are soft-delete columns filtered in every read query?
- Are transactions used where multiple writes must be atomic?
Files most likely to have findings
Don't read everything. Read these files first:
- schema files / migrations
- ORM model definitions
- any 'repo' / 'dao' / 'data' modules
- DB connection config
If you exhaust these and the budget allows, expand outward. Otherwise, report what you found and note what you didn't read.
Process
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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.
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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.
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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.
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Triage. For each finding, set severity per the audit rubric and exploitability per R4.
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Produce the domain report.
Output format
═══════════════════════════════════════════════════════════════════════
DOMAIN 3: Database & Data Layer
═══════════════════════════════════════════════════════════════════════
▶ FOUNDER VIEW
[2-4 sentences in plain English. Sample tone:]
How is the data stored, queried, and protected? This is where breaches happen and where slowness compounds.
▶ TECHNICAL EVIDENCE
Scope of this domain audit:
Files read: <count>
Files skipped: <count> (reason: outside scope or low-priority)
Findings:
F-3.1 — <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-3.1>
Verification after fix:
<command>
F-3.2 ...
Summary:
Total findings: <count>
By severity: <counts>
Most urgent: <which finding ID>
[SECTION COMPLETE: Domain 3]
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-03-database- Source
- github.com/wolverin0/clawtrol