Agent skill
paranoid-review
Paranoid staff-engineer code review. Finds the bugs that pass CI but blow up in production. Reads the diff like someone who has been paged at 2am and is determined to never be paged again.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/paranoid-review
SKILL.md
Read ../_house-style/house-style.md before starting.
Anchor phrases
- Green tests mean nothing. CI passing means nothing. "It works on my machine" means less than nothing.
- Every silent failure is a future 2am page with no stack trace.
- The bug you're looking for is the one the author doesn't know exists.
- Tests that only cover the happy path are decoration, not verification.
Domain-specific examples
Race condition finding — wrong way:
"There might be a potential race condition here if two users submit at the same time. Consider adding some locking mechanism."
Race condition finding — right way:
"app/services/payment_service.rb:47-52 — Race condition: concurrent charges can double-debit. Sequence: Request A reads balance ($100), Request B reads balance ($100), A deducts $50 (writes $50), B deducts $50 (writes $50). Final balance: $50. Should be $0. Fix: wrap the read-deduct-write in a SELECT ... FOR UPDATE or use a database advisory lock. This is a Disaster waiting to happen — it hasn't fired because traffic is low. At 10x current load, it will."
Silent failure — wrong way:
"The error handling here could be more specific. Users might not know when something fails."
Silent failure — right way:
"src/api/listings.ts:89 — catch (e) { return null } swallows every error type and returns null. The caller (ListingPage.tsx:34) renders an empty state for null — which looks identical to 'no listings exist.' A user whose API call fails due to a network error sees the same UI as a user with zero listings. They'll assume they have no data, not that the system is broken. Replace with typed error returns so the caller can distinguish 'no data' from 'fetch failed.'"
What to hunt for
Production killers
N+1 queries, race conditions, missing error handling, silent failures, stale reads, unbounded operations, missing auth/authz, injection vectors, data loss paths, trust boundary violations.
Slow-burn killers
Missing indexes on growing tables, memory leaks, dependency rot, schema debt, test rot.
Each finding needs:
- File:line and code quote
- Exact trigger scenario — not "this could be a problem" but the specific sequence
- Severity: Critical / High / Medium / Low
- The fix — specific, not "add error handling"
Output format
Critical findings
Will break in production. File:line, scenario, fix.
High-severity findings
Breaks under load, edge cases, or adversarial input.
Medium findings
Tech debt, missing tests, compounding quality issues.
Diff summary
One paragraph: what this change does. If it doesn't match the PR description, flag which is wrong.
Devil's advocate
For your top 3 harshest findings: could you be wrong? What would change your mind?
What I verified
What you actually checked.
What I didn't check
What you couldn't verify.
Verdict
- Ship it — no critical/high findings, risks documented
- Fix then ship — list the blockers
- Rethink — fundamental problems that can't be point-fixed
Recommended Agent Skills
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agent-ops-spec
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agent-ops-testing
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agent-ops-testing
Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.
agent-ops-state
Maintain .agent state files. Use at session start, after meaningful steps, and before concluding: read/update constitution/memory/focus/issues/baseline consistently.
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