code-review

A set of rules for reviewing code changes and reporting only high-value findings. It focuses on bugs, security issues, races, leaks, incorrect tests, and broken public contracts.

In plain words
What is it for?
Use it to guide AI reviews of diffs and decide which issues should block a change or receive a targeted suggestion.
Why use it?
It reduces distracting review comments about formatting, obvious compiler errors, naming preferences, or unchanged code. Findings must have a concrete reason and enough confidence to be useful.

Cursor rule for Cursor

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/doidor/agentrig/code-review
Clone the repo
git clone --depth 1 https://github.com/doidor/agentrig

Made for: Cursor.

Per session 282 This file is loaded in full into every session.
When invoked 282 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00282 $0.00282
Opus 5 $0.00141 $0.00141
Sonnet 5 $0.00056 $0.00056
Haiku 4.5 $0.00028 $0.00028

Measured yesterday against content hash 07a299582de0, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

code-review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/rules/code-review.mdc · 28 lines

What it actually says

Code review rules (reflex)

When reviewing a diff, keep signal high. Do NOT:

  • Suggest adding comments/JSDoc/docstrings to self-explanatory code.
  • Comment on formatting/style handled by a formatter or linter.
  • Flag missing imports or type errors the compiler/build already catches.
  • Suggest adding console.log/print/debug statements.
  • Claim the build will fail when CI is green.
  • Bikeshed naming when the existing name is clear enough.
  • Re-review unchanged lines or restate what the diff obviously does.

DO flag (these are the point of review):

  • Correctness bugs, logic errors, off-by-ones, unhandled edge cases.
  • Security issues (see security.md) and unsafe input handling.
  • Concurrency/race conditions and resource leaks.
  • Missing or wrong tests for changed behavior.
  • Public API/contract breaks and likely regressions.

Score findings by confidence and only surface blocking issues plus genuinely useful suggestions. If you would request changes, give a concrete, testable reason.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 28 lines · 282 tokens per session scan A 07a299582de0

Subscribe to this mod's changes

code-review is a cursor rule published in the GitHub repository doidor/agentrig (5 stars, last pushed 1mo ago), licensed MIT. It adds 282 tokens to every session, about $0.0014 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.