review-feedback

review-feedback is a skill for Claude Code from anhnguyen0905/codex-mcp. It costs 32 tokens per session (741 once invoked), scanned A, original, MIT.

A guide for reviewing automated code-change results using status checks, finding severity levels, and a standard feedback format.

In plain words
What is it for?
Use it to review execution results, classify issues such as bugs or security problems, request fixes, and escalate findings after repeated review rounds.
Why use it?
It helps reviewers distinguish complete results from incomplete or failed runs and focus fixes on the most serious problems first.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions Codex.

Part of the codex-flow plugin — 65 skills, 2 commands, 1 MCP server shipped together

Good fit Use it to review execution results, classify issues such as bugs or security problems, request fixes, and escalate findings after repeated review rounds.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/anhnguyen0905/codex-mcp/review-feedback
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.

Any agent
npx skills add anhnguyen0905/codex-mcp --skill review-feedback
Clone the repo
git clone --depth 1 https://github.com/anhnguyen0905/codex-mcp

Made for: Claude Code.

Or install codex-flow, the plugin that ships this one along with the rest of its 65 skills, 2 commands, 1 MCP server.

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 review-feedback

README.md
[![agentmods](https://agentmods.dev/badge/skills/anhnguyen0905/codex-mcp/review-feedback/github.svg)](https://agentmods.dev/skills/anhnguyen0905/codex-mcp/review-feedback)
Your own site
<a href="https://agentmods.dev/skills/anhnguyen0905/codex-mcp/review-feedback"><img src="https://agentmods.dev/badge/skills/anhnguyen0905/codex-mcp/review-feedback/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for review-feedback

Your own site · 80×15
<a href="https://agentmods.dev/skills/anhnguyen0905/codex-mcp/review-feedback"><img src="https://agentmods.dev/badge/skills/anhnguyen0905/codex-mcp/review-feedback.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 741 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00032 $0.00741
Opus 5 $0.00016 $0.00370
Sonnet 5 $0.00006 $0.00148
Haiku 4.5 $0.00003 $0.00074

Measured 8d ago against content hash b12bfb50bd60, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

review-feedback 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 8d ago.

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.

skills/review-feedback/SKILL.md · 57 lines

How it starts

The opening of the file, as written. The whole thing — 57 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Review Feedback Process

Run status gate (before reviewing content)

Every codex_execute/codex_continue/codex_review result carries schemaVersion: 1 and a status field:

  • success — completion marker seen, event stream parsed cleanly: review normally.
  • partial (isError false) — the stream ended without a completion marker or had parse errors: treat Codex's output as suspect. Verify from the diff field and by running the acceptance checks yourself; prefer re-running via codex_continue over reviewing an incomplete result.
  • failed / aborted (isError true) — do not review; handle as a failed run (report to the user, ask before retrying).

unknownEvents and outputTruncated are informational only — they never downgrade status.

Severity levels

Level Meaning Action
CRITICAL Security vulnerability, data loss, breaks existing behavior Block — must fix this round
HIGH Bug, unmet acceptance criterion, missing/false tests Fix before task is done
MEDIUM Maintainability concern, convention violation Fix if the round is cheap; else note
LOW Style/naming preference Mention once; never spend a round on it alone

Improvements are non-blocking

Treat IMP-n items from review-dual as suggestions, not findings. Never let them gate task completion or receive their own codex_continue round. Append per-task items to .codex-flow/IMPROVEMENTS.md. Execute them only after user approval at the review-dual improvement decision gate.

Feedback format for codex_continue

Numbered, concrete, self-contained — Codex sees only what you send, not your reasoning:

Review findings to fix (address ALL, re-run the targeted tests for the touched files, do not change anything else):
1. [HIGH] src/api/users.ts:42 — `getUser` returns 200 with null body when the ID doesn't exist;
   acceptance criterion 2 requires 404. Fix the handler and add a test for the missing-ID case.
2. [MEDIUM] src/api/users.ts:15 — validation duplicates `validateId` from src/lib/validate.ts; use it.

Read the full file on GitHub · 57 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. 8d ago Changed b12bfb50bd60
  2. 12d ago First seen · 57 lines · 32 tokens per session scan A 29f8b35a3e92

Subscribe to this mod's changes

review-feedback is a skill published in the GitHub repository anhnguyen0905/codex-mcp (3 stars, last pushed yesterday), licensed MIT. It adds 32 tokens to every session and 741 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 2026-08-31.