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 chorus-yologit 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/chorus-yolo)<a href="https://agentmods.dev/skills/chorus-aidlc/chorus/chorus-yolo"><img src="https://agentmods.dev/badge/skills/chorus-aidlc/chorus/chorus-yolo/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.
<a href="https://agentmods.dev/skills/chorus-aidlc/chorus/chorus-yolo"><img src="https://agentmods.dev/badge/skills/chorus-aidlc/chorus/chorus-yolo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 317 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
- medium Excessive Agency · line 476 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
- medium Excessive Agency · line 447 Skill allows unbounded resource consumption (API calls, storage, compute). Without rate limits or quotas, a compromised or misbehaving agent can cause denial-of-service or cost overruns.Fix: Set explicit rate limits, timeouts, and resource quotas for API calls, file operations, and compute. Implement circuit breakers for runaway loops.
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 | $0.00030 | $0.07389 |
| Opus 5.5 | $0.00012 | $0.02956 |
| Sonnet 5.5 | $0.00006 | $0.01478 |
| Haiku 4.5 | $0.00003 | $0.00739 |
Grade A, and why
chorus-yolo 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.
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.
- 2d ago Changed · +25 lines 874ad2060bf9
- 9d ago Changed 526d7d4e1bc2
- 15d ago Changed 0d7fd5453e9b
- 17d ago Changed 0d38e309af83
- 20d ago Changed c100e8724314
- 21d ago Changed e9f5861fb64a
- 24d ago Changed 8acb9fa35392
- 26d ago Changed · +4 lines bf297deeb695
- 1mo ago Changed 379f4441ce39
- 1mo ago First seen · 562 lines · 30 tokens per session scan A 4ed5bd05ed74
chorus-yolo is a skill published in the GitHub repository Chorus-AIDLC/Chorus (1,210 stars, last pushed yesterday), licensed AGPL-3.0. It adds 30 tokens to every session and 7,389 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 2026-09-03.
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"…
sdlc-accelerate
End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions.
project-awareness
Detect project type, AIWG framework state, team configuration, and active work to summarize status and recommend next actions.
artifact-metadata
Manage artifact metadata, versioning, ownership, and review history across the SDLC lifecycle.
mission-control
Orchestrate multi-loop background operations via the Mission Control dashboard — start sessions, dispatch missions, monitor, and stop.