agentsclimarketplace

Code review exchange

Skill Cairn-ai-tooling/agent-collab-tooling/skills/code-review-exchange

Use when one agent asks another to review code, or when an agent reviews work produced by another agent — standardizes the review request (scope, diff, concerns) and the review response (severity-tagged findings, clear verdict) so review handoffs are consistent and actionable.From its SKILL.md

Install
npx -y skills add Cairn-ai-tooling/agent-collab-tooling --skill code-review-exchange

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

3.9 KB, 826 tokens by cl100k_base, as published. Nobody here has run it

Code Review Exchange

A review is only useful if the requester knows what was checked and the reviewer knows what to check. Freeform "can you look at this?" wastes both sides: the reviewer guesses at scope, the requester gets vague findings. This skill fixes the shape of both halves of the exchange.

Part 1 — Requesting a review

Produce a review request with these fields. Keep it tight; link to a handoff ([[agent-handoff]]) for deep context rather than duplicating it.

# Review request: <title>

## Scope
What to review and what to skip. "Review the new auth middleware; the existing user model
is out of scope."

## What changed
The diff or the exact files/commits to review (e.g. `git diff main`, or list paths).
Point at concrete changes — don't make the reviewer hunt.

## Intent
What this code is supposed to do, so the reviewer can judge correctness against intent,
not just style.

## Concerns / focus areas
Where you're unsure and most want eyes: "I'm not confident the token refresh handles
expiry races." Naming your own doubts gets the highest-value review.

## How to verify
The command(s) to run tests / reproduce behavior, so the reviewer can check, not just read.

Part 2 — Responding to a review

Review against intent and correctness first, style second. Report findings with explicit severity so the requester knows what's blocking versus optional.

Severity tags (required on every finding)

  • [blocker] — must fix before merge. Bugs, security issues, data loss, broken behavior, missing critical tests.
  • [major] — should fix; real problem but not merge-blocking on its own.
  • [minor] — worth fixing: clarity, naming, small inefficiencies.
  • [nit] — optional/stylistic; the requester can ignore freely.
  • [question] — you need an answer to judge; not yet a finding.

Response format

# Review: <title>

## Verdict
One of: **Approve** / **Approve with comments** / **Request changes**.
State it first — the requester needs the bottom line up front.

## Findings
- `[blocker]` `path/file.ts:42` — <what's wrong> → <why it matters> → <suggested fix>.
- `[minor]` `path/other.ts:10` — <observation> → <suggestion>.
- `[question]` <what you need clarified>.

## What I verified
What you actually ran/checked (tests, manual repro) vs. what you only read. Be honest —
"read only, did not run tests" is a valid and important statement.

Reviewer discipline

  • Every finding is actionable. State the problem, why it matters, and a concrete suggested direction. "This is bad" is not a review.
  • Separate fact from preference. A [blocker] must be defensible as a real defect, not a style opinion. Tag opinions as [nit].
  • Verify before asserting correctness. If you claim something is broken, show how it breaks. If you didn't run it, say so under "What I verified".
  • Don't rewrite; recommend. Point to the fix; let the author apply it unless asked.

Part 3 — Receiving the review back

When you get findings, do not perform agreement or blindly apply suggestions. Evaluate each on technical merit, push back where a finding is wrong (with reasoning), and fix what's real. Address every [blocker] before merge. This mirrors [[receiving-code-review]]: verification and honest reasoning over reflexive compliance.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.