review-chorus

review-chorus is a skill for Claude Code, Codex from Chorus-AIDLC/Chorus. It costs 23 tokens per session (3,915 once invoked), scanned A, original, AGPL-3.0.

A workflow for reviewing Chorus proposals and implementation tasks. It covers approving or rejecting proposals, checking completed work, and managing project rules for how changes are governed.

In plain words
What is it for?
Use it to review proposed changes, approve or reject them, verify implementation tasks, and maintain Chorus project governance.
Why use it?
It gives review decisions a consistent process and helps verify that completed tasks match what was agreed. This reduces unclear ownership and unchecked changes.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Use it to review proposed changes, approve or reject them, verify implementation tasks, and maintain Chorus project governance.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chorus-aidlc/chorus/review-chorus
About the project

Chorus is a coordination harness for teams of coding agents and humans, combining agent orchestration, task tracking, permissions, observability, and recovery in one workflow. It is for collaborative software development where agents propose changes and people verify them before delivery, and the catalogue entries provide its skills, hooks, agents, commands, MCP integration, plugin, and configuration.

Chorus-AIDLC/Chorus · 1,210 stars · on GitHub · chorus-ai.dev

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 Chorus-AIDLC/Chorus --skill review-chorus
Clone the repo
git clone --depth 1 https://github.com/Chorus-AIDLC/Chorus

Made for: Claude Code, Codex.

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-chorus

README.md
[![agentmods](https://agentmods.dev/badge/skills/chorus-aidlc/chorus/review-chorus/github.svg)](https://agentmods.dev/skills/chorus-aidlc/chorus/review-chorus)
Your own site
<a href="https://agentmods.dev/skills/chorus-aidlc/chorus/review-chorus"><img src="https://agentmods.dev/badge/skills/chorus-aidlc/chorus/review-chorus/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-chorus

Your own site · 80×15
<a href="https://agentmods.dev/skills/chorus-aidlc/chorus/review-chorus"><img src="https://agentmods.dev/badge/skills/chorus-aidlc/chorus/review-chorus.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,915 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00023 $0.03915
Opus 5.5 $0.00009 $0.01566
Sonnet 5.5 $0.00005 $0.00783
Haiku 4.5 $0.00002 $0.00392

Measured 2d ago against content hash b286b37ee514, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

review-chorus 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 2d 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.

packages/chorus-dsh/skills/review-chorus/SKILL.md · 357 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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. 2d ago Changed b286b37ee514
  2. 9d ago Changed 15dc93700dd1
  3. 15d ago Changed ad28da5f0b1a
  4. 17d ago Changed 2d800bc5b99a
  5. 20d ago Changed 24b154fbdf2f
  6. 21d ago Changed 2fe3cb637f78
  7. 24d ago Changed 4c3654487e2f
  8. 26d ago Changed 44610788e895
  9. 1mo ago Changed 22c69308a6e5
  10. 1mo ago First seen · 357 lines · 23 tokens per session scan A 883c8bbcc9f7

Subscribe to this mod's changes

review-chorus is a skill published in the GitHub repository Chorus-AIDLC/Chorus (1,210 stars, last pushed yesterday), licensed AGPL-3.0. It adds 23 tokens to every session and 3,915 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.