Agent skill

Skill Council

by nyldn in nyldn/claude-octopus

Run a configurable multi-LLM council with personas, budget caps, synthesis, veto gates, and optional implementation handoff.

MITAuto-check passed

Install Skill Council

skills CLI
$ npx skills add nyldn/claude-octopus --skill skill-council -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install nyldn/claude-octopus skill-council --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/nyldn/claude-octopus.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-council .claude/skills/skill-council && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-council
GitHub stars
4.2k
Used in
1 other repo
Token cost
~2k tokens
SKILL.md length
791 words
Files
2
Skills in repo
62
Repo updated
First seen
Licence
MIT

At a glance

Run a configurable multi-LLM council with personas, budget caps, synthesis, veto gates, and optional implementation handoff.

  • Works in 5 steps: Independent advice: ask each selected… → Cross-critique: for standard/deep runs,… → Revision: for deep runs or high… → …
  • SKILL.md covers EXECUTION CONTRACT: MANDATORY, Phase 0A: Interactive…, Phase 0: Preflight and Quorum, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skill Council is an agent skill from nyldn/claude-octopus. Run a configurable multi-LLM council with personas, budget caps, synthesis, veto gates, and optional implementation handoff.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

The repository describes itself as: Run multiple AI models against the same research, design, or coding task. Surface disagreements before you ship. The licence is MIT.

Example prompts

  • “/skill-council”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Independent advice: ask each selected persona for recommendation, assumptions, risks, implementation notes, and confidence.
  2. Cross-critique: for standard/deep runs, semi-anonymize responses and ask members to critique gaps, assumptions, and risks.
  3. Revision: for deep runs or high disagreement, let members revise their positions after critique.
  4. Chair synthesis: produce agreement, disagreement, minority reports, risk register, implementation path, confidence, and conditions that…
  5. Ratify / veto: verifier, red-team, security, legal, finance, and medical roles can veto implementation for critical risks.

What it can do on your machine

Read from SKILL.md and the folder at commit e14b84f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash and javascript).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Council loads about 2k tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 791 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from nyldn/claude-octopus at commit e14b84f, republished under its MIT licence (© nyldn). 791 words, ~1,964 tokens.

Download SKILL.mdSave it as .claude/skills/skill-council/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
skill-council
description
Run a configurable multi-LLM council with personas, budget caps, synthesis, veto gates, and optional implementation handoff.
disable-model-invocation
true

Council

Use this skill for /octo:council and council-style requests.

EXECUTION CONTRACT: MANDATORY

/octo:council is a runner-backed workflow. Execute the real shell runner by default:

bash
"${CLAUDE_PLUGIN_ROOT:-$HOME/.claude-octopus/plugin}/scripts/orchestrate.sh" council <user arguments>

Sandbox-safe invocation (required under Claude Code's sandbox). orchestrate.sh must be the FIRST token of the command. The sandbox's unsandboxed-command allowlist is a leading-anchored prefix match, so a command that begins with cd …, an inline VAR=… env-assignment, or any other prefix will NOT match an …/orchestrate.sh * entry — the runner then executes sandboxed and its codex/agy seat children fail to write temp files (Operation not permitted, agy mkstemp in /var/folders), so the council abandons the runner and falls back to direct single-provider dispatch. To run against a worktree, pass --dir <path> (the runner already honors -d/--dir) instead of wrapping in cd <path> && …; set any environment in a separate prior step or via a leading env VAR=… /abs/path/orchestrate.sh council … so the resolvable binary path is still first. Never prefix the runner with cd.

Do not simulate a council, role-play all members inside the current model, or answer directly in place of the runner. A single-model simulation must be explicitly requested with --simulate or --single-model; when used, label the output as single-model simulation and keep the generated summary.json path visible. Otherwise, missing provider quorum is a partial/failed council, not permission to silently downgrade.

Phase 0A: Interactive Clarification

If the user invokes /octo:council with an ambiguous task, missing goal/depth intent, uncertain implementation permission, or unclear research/corpus expectations, use AskUserQuestion before running the council runner. If the prompt already includes clear flags and a clear task, skip this phase and execute immediately.

Use 2-4 mutually exclusive choices per question, put the recommended option first, and map the answers to runner flags before execution. Do not end with a free-form question or a set of questions; present the choice interaction and wait for the answer.

Default council clarification:

javascript
AskUserQuestion({
  questions: [
    {
      question: "How should the council handle this request?",
      header: "Council Goal",
      multiSelect: false,
      options: [
        {label: "Advice (Recommended)", description: "Return a structured recommendation without implementation"},
        {label: "Decision", description: "Optimize for choosing between specific options"},
        {label: "Implementation plan", description: "Produce a plan but do not edit files"},
        {label: "Review", description: "Critique existing code, docs, or strategy"}
      ]
    },
    {
      question: "How deep should the council go?",
      header: "Depth",
      multiSelect: false,
      options: [
        {label: "Standard (Recommended)", description: "Balanced cost and coverage"},
        {label: "Quick", description: "Faster, lower-cost pass"},
        {label: "Deep", description: "More critique and revision, higher cost"}
      ]
    },
    {
      question: "Should the council use project research or corpus storage?",
      header: "Context",
      multiSelect: false,
      options: [
        {label: "No corpus (Recommended)", description: "Run with the provided prompt and write normal run artifacts"},
        {label: "Research first", description: "Add --research-first before provider fanout"},
        {label: "Append corpus", description: "Use --corpus-mode append for durable project notes"},
        {label: "Require corpus", description: "Use --corpus-mode require and stop if no corpus workspace exists"}
      ]
    }
  ]
})

Translate answers as follows:

  • Advice, Decision, Implementation plan, or Review -> --goal advice|decision|plan|review
  • Quick, Standard, or Deep -> --depth quick|standard|deep
  • Research first -> --research-first
  • Append corpus or Require corpus -> --corpus-mode append|require

Phase 0: Preflight

Collect or infer:

  • goal: advice, decision, plan, implement, or review
  • domain: auto, architecture, product, security, business, research, or docs
  • style: balanced, adversarial, implementation, executive, or red-team
  • depth: quick, standard, or deep
  • members: auto, 3, 5, or 7
  • budget cap in USD
  • providers and provider availability
  • pinned personas
  • implementation permission and worktree isolation
  • whether research must happen before council fanout (--research-first)
  • whether findings, research, synthesis, and plans must be appended to the project corpus (--corpus-mode append|require)

Show the selected council, provider availability, benchmark freshness, quorum requirement, and cost estimate before provider fanout. Re-check the budget before critique, revision, synthesis, and implementation planning so the run stops before the next phase would exceed --max-cost. If the run is a dry run, stop after this preflight and write summary.json.

If --research-first is set, gather local corpus evidence first, then current external sources when allowed. Store concise findings as run artifacts before provider fanout. If --corpus-mode append or --corpus-mode require is set, append the research notes, findings, synthesis, and implementation plan to the project's durable corpus conventions before claiming completion; require must stop when no corpus workspace is available.

Show full SKILL.md (270 more words)Show less

Quorum

  • quick requires at least one non-chair response plus a synthesis-capable chair
  • standard and deep require at least two non-chair responses plus a synthesis-capable chair
  • if the chair fails, retry once with the highest-scoring synthesis-capable fallback
  • if quorum is lost, stop by default and present partial artifacts instead of pretending consensus exists

Council Procedure

  1. Independent advice: ask each selected persona for recommendation, assumptions, risks, implementation notes, and confidence.
  2. Cross-critique: for standard/deep runs, semi-anonymize responses and ask members to critique gaps, assumptions, and risks.
  3. Revision: for deep runs or high disagreement, let members revise their positions after critique.
  4. Chair synthesis: produce agreement, disagreement, minority reports, risk register, implementation path, confidence, and conditions that would change the recommendation.
  5. Ratify / veto: verifier, red-team, security, legal, finance, and medical roles can veto implementation for critical risks.

Implementation Gates

  • Gate A: user accepts the council synthesis or asks for revision.
  • Gate B: user accepts the concrete implementation plan generated from the synthesis.
  • Gate C: execution proceeds through existing Octopus implementation safety behavior. This is a one-shot authorization for the accepted plan, not per-file approval, unless existing safety hooks detect destructive or risky actions.

Never implement from council output without explicit approval. Preserve disagreement, summarize risks, and keep vetoes visible in the final answer and artifacts.

Interactive Choice Handling

When the user needs to clarify scope, select a depth/provider/corpus option, approve a gate, or decide between follow-up actions, use AskUserQuestion with 2-4 mutually exclusive choices. Put the recommended choice first. Do not end with a free-form question or a set of questions; present the choice interaction and wait for the answer.

© nyldn, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in skills/skill-council of nyldn/claude-octopus.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit e14b84f

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in nyldn/claude-octopus, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Skill Council next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Council compared with similar skills
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Skill Council this skillnyldn/claude-octopus4.2k1 repos~2kAutomated safety check: PassMIT
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Councilaffaan-m/ECC276k—~963Automated safety check: PassMIT
Councilaffaan-m/ECC276k—~653Automated safety check: PassMIT
Budget Cash Flowsickn33/agentic-awesome-skills47k1 repos~4.1kAutomated safety check: PassMIT
Council0xNyk/council-of-high-intelligence4.6k1 repos~14kAutomated safety check: PassMIT

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Questions about Skill Council

What does Skill Council do?

Run a configurable multi-LLM council with personas, budget caps, synthesis, veto gates, and optional implementation handoff. Skill Council is an agent skill from nyldn/claude-octopus. Run a configurable multi-LLM council with personas, budget caps, synthesis, veto gates, and optional implementation handoff.

How do I install Skill Council in Claude Code?

Run `npx skills add nyldn/claude-octopus --skill skill-council -a claude-code`. Or copy the skill folder (skills/skill-council in nyldn/claude-octopus) into .claude/skills/skill-council in your project. Claude Code loads it when a task matches its description.

How do I install Skill Council in Codex?

Run `npx skills add nyldn/claude-octopus --skill skill-council -a codex`. Or copy the skill folder (skills/skill-council in nyldn/claude-octopus) into .agents/skills/skill-council in your project. Codex loads it when a task matches its description.

Can I use Skill Council in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add nyldn/claude-octopus --skill skill-council -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-council, .gemini/skills/skill-council, .github/skills/skill-council and .opencode/skills/skill-council in your project.

What does Skill Council need to run?

SKILL.md names no scripts, command-line tools or credentials: Skill Council is instructions for the agent only.

Does Skill Council access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Council safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skill Council use?

Skill Council is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Council use?

About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Skill Council?

Skills that share tags, products or a category with Skill Council: Council (affaan-m/ECC, 276k stars), Council (affaan-m/ECC, 276k stars), Council (affaan-m/ECC, 276k stars) and Budget Cash Flow (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Council?

nyldn (a GitHub user) maintains it in nyldn/claude-octopus, which has 4,192 GitHub stars. The repository holds 62 skills in this directory. The repository was last updated on October 9, 2026.

Source: nyldn/claude-octopus on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.