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.
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.
npx skills add Chorus-AIDLC/Chorus --skill code-reviewer-chorusgit clone --depth 1 https://github.com/Chorus-AIDLC/ChorusWrote 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.
[](https://agentmods.dev/skills/chorus-aidlc/chorus/code-reviewer-chorus)<a href="https://agentmods.dev/skills/chorus-aidlc/chorus/code-reviewer-chorus"><img src="https://agentmods.dev/badge/skills/chorus-aidlc/chorus/code-reviewer-chorus.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00076 | $0.02376 |
| Opus 5 | $0.00038 | $0.01188 |
| Sonnet 5 | $0.00015 | $0.00475 |
| Haiku 4.5 | $0.00008 | $0.00238 |
Grade A, and why
code-reviewer-chorus scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Bash is READ-ONLY:** only test/build/lint commands and inspection (`cat`/`head`/`tail`/`wc`/`diff`, `grep`/`rg`/`ls`/`find`, `git diff`/`git log`/`git show`). **Strictly forbidden:** `git add`/`commit`/`push`/`checko 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.
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.
- today Changed 641527605b77
- 3d ago Changed d230a908569d
- 8d ago First seen · 128 lines · 76 tokens per session scan A 5da54cda0e0a
code-reviewer-chorus is a skill published in the GitHub repository Chorus-AIDLC/Chorus (1,161 stars, last pushed yesterday), licensed AGPL-3.0. It adds 76 tokens to every session and 2,376 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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Use when starting a chain from a GitHub issue — turning an issue URL or number into a triaged, planned, dispatched, and reviewed pull request. Classifies the thread (bug → root-cause discipline, feature → plan chain, question → drafted reply), synthesizes a spec from the issue's own acceptance criteria, then runs the…
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Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
link-check
Verify @file references in AIWG skills and agents against the linking contract — per-file or corpus-wide, with optional auto-fix.
great_cto
Use when the CTO describes a feature, task, or project goal. Orchestrates the full SDLC pipeline automatically based on project type.
skeptical-triage
Reusable 3-round self-challenge + arbiter pattern for filtering false positives from findings/verdicts. Use when the cost of a false-positive gate block exceeds the cost of 4 extra LLM turns.