respond-review

respond-review is a cursor rule for Cursor from danielvm-git/bigpowers. It costs 39 tokens per session (499 once invoked), scanned A, original, MIT.

Act on a reviewer agent's feedback systematically — categorize findings, apply fixes, verify tests still pass. Use after request-review returns a report, or when user wants to work through code review findings.

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/respond-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 respond-review

README.md
[![agentmods](https://agentmods.dev/badge/rules/danielvm-git/bigpowers/respond-review.svg)](https://agentmods.dev/rules/danielvm-git/bigpowers/respond-review)
Your own site
<a href="https://agentmods.dev/rules/danielvm-git/bigpowers/respond-review"><img src="https://agentmods.dev/badge/rules/danielvm-git/bigpowers/respond-review.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 499 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 $0.00039 $0.00499
Opus 5 $0.00019 $0.00249
Sonnet 5 $0.00008 $0.00100
Haiku 4.5 $0.00004 $0.00050

Measured today against content hash 9837c774a760, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

respond-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/respond-review.mdc · 71 lines

What it actually says

Respond Review

HARD GATEHARD GATE — Every reviewer comment must be addressed (fix, disagree + document reason, or ask clarification). Do NOT ignore feedback and merge.

Work through reviewer findings systematically. Don't apply changes blindly — categorize first, then decide, then fix, then verify.

Process

1. Read the full review report

Read every finding before acting on any of them. Get the full picture first.

2. Categorize findings

For each finding, assign a category:

Category Meaning Action
must-fix Correctness bug, security issue, test failure, CONVENTIONS.md violation Fix before proceeding
should-fix Code quality issue, naming, clarity — worth fixing but not blocking Fix if time allows
consider Architectural suggestion, alternative approach — may or may not apply Discuss with user

Create a numbered list of all findings with their categories.

3. Confirm with user (for consider-category items)

For each "consider" item, briefly describe the trade-off and ask: "Apply, skip, or discuss?"

4. Apply must-fix items first

Fix every must-fix item. For each one:

  • Describe what you're changing and why
  • Make the change
  • Run the verify command if one exists for this area

5. Apply should-fix items

Apply should-fix items. If any are large enough to warrant their own commit, note them separately.

6. Run the full suite

After all changes are applied:

<full test command>
<typecheck command>
<lint command>
  • All tests pass
  • No type errors
  • No lint violations

7. Report

Summarize what was applied and what was skipped:

Applied (must-fix): #1, #2, #3
Applied (should-fix): #4
Skipped (consider): #5 — agreed with user to defer
All tests pass.

Suggest next skill: commit-message.

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 · 71 lines · 39 tokens per session scan A 9837c774a760

Subscribe to this mod's changes

respond-review is a cursor rule published in the GitHub repository danielvm-git/bigpowers (163 stars, last pushed 2d ago), licensed MIT. It adds 39 tokens to every session and 499 once invoked, about $0.0002 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.