request-review

request-review is a cursor rule for Cursor from danielvm-git/bigpowers. It costs 53 tokens per session (1,292 once invoked), scanned A, original, MIT.

Dispatch a fresh reviewer agent with a clean context to critique the code after audit-code passes. The reviewer has no shared state with the coding agent and gives a genuine second opinion. Use after audit-code passes, before committing, or when user wants an independent code review.

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/danielvm-git/bigpowers/request-review
Clone the repo
git clone --depth 1 https://github.com/danielvm-git/bigpowers

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for request-review

README.md
[![agentmods](https://agentmods.dev/badge/rules/danielvm-git/bigpowers/request-review.svg)](https://agentmods.dev/rules/danielvm-git/bigpowers/request-review)
Your own site
<a href="https://agentmods.dev/rules/danielvm-git/bigpowers/request-review"><img src="https://agentmods.dev/badge/rules/danielvm-git/bigpowers/request-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,292 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00053 $0.01292
Opus 5 $0.00026 $0.00646
Sonnet 5 $0.00011 $0.00258
Haiku 4.5 $0.00005 $0.00129

Measured today against content hash 785ae7750c49, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

request-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 today.

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/request-review.mdc · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

story: e45s28

Request Review

Dispatch fresh reviewer agents with clean contexts. Reviewers have no shared state — they find what the coding agent missed.

Distinct from audit-code: audit-code is self-review (internal). This skill dispatches external agents.

Solo developer note: Reviewer agents replace the human reviewer.

Run audit-code first. Don't waste reviewer attention on hygiene issues you could have caught yourself.

Santa Method — Dual-Blind AND Gate (e45s07)

Use two independent reviewers (Reviewer A and Reviewer B) with no shared context between them or the coding agent.

Parameter Value
Reviewers 2 (mandatory)
MAX_REVIEW_ITERATIONS 5 (hard cap — e45s28; iteration 6 forbidden)
Pass rule AND-gate — both reviewers must pass independently
Blindness Neither reviewer sees the other's report until both complete

Iteration loop (max MAX_REVIEW_ITERATIONS):

  1. Dispatch Reviewer A and Reviewer B in parallel with identical briefs but separate contexts.
  2. Collect both reports. Each categorizes findings: must-fix / should-fix / consider.
  3. AND-gate: If either reviewer has must-fix findings → FAIL round. Run respond-review, fix, re-dispatch both reviewers.
  4. If both pass (zero must-fix, score ≥ 94% each) → review complete.
  5. After 5 iterations without dual pass → stop; report "Review cap exhausted (5/5). Human decision required." Do not merge.

HARD GATE — Single-reviewer pass is insufficient. Partial agreement does not satisfy the AND-gate.

Process

1. Prepare the review brief

Write a self-contained brief for each reviewer. Include:

  • What was built (feature description, not implementation)
  • Which files changed (the diff context)
  • What specs/ artifacts are relevant (active epics/eNN-*.yaml, requirements/SCOPE_LATEST.yaml, bugs/BUG-*.md)
  • What CONVENTIONS.md requires
  • What the verify command is
  • What you're most uncertain about (where you want fresh eyes)
  • Security focus — If the epic has a specs/security/epics/<id>/THREAT_MODEL.md, include the relevant vulnerability categories as reviewer focal points. Also include the false-positive exclusion rules so the reviewer avoids known-safe patterns. Tag the review as security-sensitive: true if THREAT_MODEL risk is HIGH+.

Read the full file on GitHub · 113 lines

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. today First seen · 113 lines · 53 tokens per session scan A 785ae7750c49

Subscribe to this mod's changes

request-review is a cursor rule published in the GitHub repository danielvm-git/bigpowers (162 stars, last pushed 2d ago), licensed MIT. It adds 53 tokens to every session and 1,292 once invoked, about $0.0003 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 2026-09-03.