chorus-council

chorus-council is a skill for Claude Code, Codex from valpere/chorus. It costs 62 tokens per session (670 once invoked), scanned A, original, MIT.

A workflow that asks several AI coding tools to review the same task from different viewpoints. The reviewers focus on correctness, unusual cases, codebase integration, maintainability, and scope.

In plain words
What is it for?
Use it when deciding how to solve a problem, reviewing an approach, or checking whether a proposed change is too complex.
Why use it?
It exposes problems or trade-offs that one review may miss and separates each reviewer’s area of attention.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Codex.

Good fit Use it when deciding how to solve a problem, reviewing an approach, or checking whether a proposed change is too complex.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/valpere/chorus/council
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 valpere/chorus --skill council
Clone the repo
git clone --depth 1 https://github.com/valpere/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 chorus-council

README.md
[![agentmods](https://agentmods.dev/badge/skills/valpere/chorus/council.svg)](https://agentmods.dev/skills/valpere/chorus/council)
Your own site
<a href="https://agentmods.dev/skills/valpere/chorus/council"><img src="https://agentmods.dev/badge/skills/valpere/chorus/council.svg" alt="Measured on agentmods" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 670 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 $0.00062 $0.00670
Opus 5 $0.00031 $0.00335
Sonnet 5 $0.00012 $0.00134
Haiku 4.5 $0.00006 $0.00067

Measured 7d ago against content hash 6b1d83fdccdb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

chorus-council 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 7d 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.

for-codex/council/SKILL.md · 62 lines

How it starts

The opening of the file, as written. The whole thing — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Chorus: LLM Council

When to use

  • User asks for a multi-agent perspective on a decision or problem
  • User says "council", "multiple opinions", "ask all agents", "LLM council"

Your role in the council

You are the SCOPE reviewer. Focus on: unnecessary complexity, premature abstractions, whether the smallest viable solution was chosen.

Agent roles

Agent Focus
Claude Correctness — logic errors, type safety, security issues
Gemini Edge cases — unusual inputs, failure modes, alternatives
Cursor Integration — codebase fit, patterns, dependency risks
Kilo Maintainability — readability, naming, long-term tech debt
(you) Scope — unnecessary complexity, smallest viable solution

Invocation

Spawn all four agents in parallel, then add your own scope review:

claude --print "You are the CORRECTNESS reviewer in an LLM council. Focus on: logic errors, type safety, off-by-one bugs, security issues. Be concise — bullet points.\n\nTask: <task>" --dangerously-skip-permissions &
CLAUDE_PID=$!

gemini --prompt "You are the EDGE-CASES reviewer in an LLM council. Focus on: unusual inputs, failure modes, alternatives not considered. Be concise — bullet points.\n\nTask: <task>" --yolo --output-format text &
GEMINI_PID=$!

agent -p --force "You are the INTEGRATION reviewer in an LLM council. Focus on: codebase fit, consistency with existing patterns, dependency implications. Be concise — bullet points.\n\nTask: <task>" &
CURSOR_PID=$!

kilo run --auto "You are the MAINTAINABILITY reviewer in an LLM council. Focus on: readability, naming clarity, long-term tech debt. Be concise — bullet points.\n\nTask: <task>" &
KILO_PID=$!

wait $CLAUDE_PID $GEMINI_PID $CURSOR_PID $KILO_PID

Graceful degradation: Check each agent with command -v <binary> before spawning. Skip missing agents and warn the user. Proceed as long as at least 2 agents (including yourself) are available.

Output handling

After collecting outputs (fewer if some agents were skipped) plus your own scope review, synthesize as chairman:

Read the full file on GitHub · 62 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. 7d ago First seen · 62 lines · 62 tokens per session scan A 6b1d83fdccdb

Subscribe to this mod's changes

chorus-council is a skill published in the GitHub repository valpere/chorus (10 stars, last pushed 3mo ago), licensed MIT. It adds 62 tokens to every session and 670 once invoked, about $0.0003 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.

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