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.

Stars 163
Forks 31

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:89catch (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

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