本文へ移動
cccskills
無料GitHub で公開

council-verdicts

Starter: interpret a council run's verdict artifacts — quorum, dissent, cross-lab validity, and what to do next

インストール方法を見る

含まれるファイル(2)

  • SKILL.md1.9 KB
  • agents/openai.yaml165 B

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Council Verdict Interpretation (Starter Pack)

Read a completed council run's artifacts and explain what the verdicts actually mean before anyone acts on them.

When to use

A /octo:council run has finished and the user asks "so what did the council decide?" or pastes a summary.json path.

Steps

  1. Locate artifacts. Find the newest council output under ~/.claude-octopus/results/ (look for summary.json and per-seat verdict files). If none exist within the session window, say so; never invent a verdict.
  2. Check roster validity. From summary.json, confirm each seat's real provider and model (the agy seat records its resolved model, not default). Flag same-lineage panels: two seats backed by the same model family weaken the verdict's independence.
  3. Tally the verdicts. Report the raw count (APPROVE / REJECT / ABSTAIN / REVISE) and whether quorum was met. A malformed or missing verdict from a seat counts as ABSTAIN, and the SubagentStop gate (hooks/subagent-stop-gate.sh) may have flagged it; check the gate's usage log for quality scores.
  4. Surface dissent. Quote the strongest dissenting argument verbatim. A 2-1 split with a substantive dissent is a weaker mandate than 3-0; say which one this is.
  5. Recommend the action. Map the tally to a next step: unanimous APPROVE means proceed; majority with dissent means proceed with the dissent's concern as a follow-up item; majority REJECT means do not proceed and list what would change the outcome.

Guardrails

  • Verdicts gate decisions; they do not execute them. Never auto-apply a council outcome to code.
  • If seats disagree on facts (not judgment), the run is inconclusive; recommend a re-run with the factual dispute resolved first.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Starter: frame a decision as a multi-model debate — picks sides, seats providers, and launches /octo:debate with a well-formed motion

日本語の概要は準備中です。原文の説明を表示しています。

nyldn/claude-octopus4,2162026年10月11日 更新

Multi-AI requirements scoping using available external providers (Double Diamond Define phase). Priority triggers: octo define, octo scope, co-define, co-scope. DO NOT use for implementation, research, review/validation, or built-in commands.

日本語の概要は準備中です。原文の説明を表示しています。

nyldn/claude-octopus4,2162026年10月11日 更新

Multi-AI validation, scoring, and review using available external providers (Double Diamond Deliver phase)

日本語の概要は準備中です。原文の説明を表示しています。

nyldn/claude-octopus4,2162026年10月11日 更新

Multi-AI implementation using available external providers (Double Diamond Develop phase). DO NOT use for simple code edits, reading/reviewing code, built-in commands, or trivial single-file changes.

日本語の概要は準備中です。原文の説明を表示しています。

nyldn/claude-octopus4,2162026年10月11日 更新

Multi-AI research using available external providers (Double Diamond Discover phase)

日本語の概要は準備中です。原文の説明を表示しています。

nyldn/claude-octopus4,2162026年10月11日 更新

Multi-AI research using available external providers (Double Diamond Discover phase) - Questions about best practices, patterns, or ecosystem research PRIORITY TRIGGERS (always invoke): "octo research", "octo discover", "co-research", "co-discover" DO NOT use for: simple file searches (use Read/Grep), questions Claude can answer directly, debugging issues (use skill-debug), or "what are my options" for decision support.

日本語の概要は準備中です。原文の説明を表示しています。

nyldn/claude-octopus4,2162026年10月11日 更新

nyldn のスキルをすべて見る

このスキルの問題を報告する