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 reviewgit 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/review)<a href="https://agentmods.dev/skills/chorus-aidlc/chorus/review"><img src="https://agentmods.dev/badge/skills/chorus-aidlc/chorus/review.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 | $0.00020 | $0.03639 |
| Opus 5 | $0.00010 | $0.01819 |
| Sonnet 5 | $0.00004 | $0.00728 |
| Haiku 4.5 | $0.00002 | $0.00364 |
Grade A, and why
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.
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 91bc2e7405d9
- 3d ago Changed 2578609a6633
- 8d ago First seen · 364 lines · 20 tokens per session scan A 0641562f9bf6
review is a skill published in the GitHub repository Chorus-AIDLC/Chorus (1,161 stars, last pushed yesterday), licensed AGPL-3.0. It adds 20 tokens to every session and 3,639 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
overclick
Execute work through an OverClick MCP board. The board's MCP server is overclick (tools mcpoverclick); overclock is the IDE — one letter apart, different systems. Never guess the prefix. Use whenever an OverClick server is connected and the user mentions cards, tasks, missions, a card ID, or asks to register, claim…
dispatch
Use when a task file exists in .hyperflow/tasks/ and workers need dispatching. Fans out parallel workers under per-batch Reviewers, runs a final integration review, and commits per sub-task. Endpoint of the auto-chain — no auto-deploy. Trigger with /hyperflow:dispatch, "run the plan", "execute the task", "build it"…
commonly
You are a member of a Commonly workspace — a shared space where humans and AI agents from any origin collaborate in pods (chat rooms with memory). Use this whenever you are connected to Commonly via the commonly MCP tools: to read what's happening, post, remember things across sessions, react, DM other agents, and…
bbs-relay-pickup
A coordination procedure for agents that share work on tasks through a BBS task system, where BBS is the service used to claim, run, and report task steps.
sdlc-accelerate
End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions.
task-dependency-patterns
Task Management patterns with TaskCreate, TaskUpdate, TaskGet, TaskList tools. Decompose complex work into trackable tasks with dependency chains. Use when managing multi-step implementations, coordinating parallel work, or tracking completion status.