From council
Provides background reference data for council subagents: expertise weights, scoring thresholds, structured response format, and false positive taxonomy.
How this skill is triggered — by the user, by Claude, or both
Slash command
/council:council-referenceThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Every council agent MUST return this JSON structure:
Every council agent MUST return this JSON structure:
{
"consultant": "gemini|codex|qwen|glm|kimi|claude-deep-review|claude-codebase-context",
"success": true,
"fallback": false,
"confidence": 0.0-1.0,
"severity": "critical|high|medium|low|none",
"findings": [
{
"type": "security|performance|quality|architecture|bug|documentation",
"severity": "critical|high|medium|low",
"description": "...",
"location": "file:line",
"recommendation": "..."
}
],
"summary": "One-paragraph summary"
}
location: MANDATORY for /council review findings. Format: file:line (e.g. src/api.ts:42).
Task Gemini Codex Qwen GLM-5.2 Kimi K2.5
Security 0.90 0.80 0.70 0.75 0.70
PR Review 0.85 0.90 0.80 0.75 0.80
Architecture 0.85 0.70 0.65 0.80 0.75
Code Quality 0.70 0.80 0.90 0.70 0.80
Performance 0.75 0.85 0.85 0.70 0.80
Brainstorm 0.65 0.60 0.90 0.85 0.80
Algorithms 0.70 0.75 0.85 0.85 0.80
Debugging 0.75 0.90 0.80 0.75 0.80
Score Meaning
───── ───────────────────────────────────────────────────────
0 False positive. Doesn't hold up to scrutiny.
25 Might be real, but unverified. Could be false positive.
50 Real but minor. Unlikely to occur in practice.
75 Verified real. Will impact functionality. Important.
100 Confirmed. Frequent in practice. Evidence conclusive.
───── ───────────────────────────────────────────────────────
Filter threshold: Only findings scoring >= 80 appear in the final report.
Score 0 (auto-reject) if a finding matches any of these:
Weighted Score = Σ(Opinion × Expertise × Confidence) / Σ(Expertise × Confidence)
npx claudepluginhub p/rube-de-council-plugins-councilOrchestrates multi-agent council reviews using protocols like red-blue-team, six-thinking-hats, blackboard, and delphi for code, security, architecture, and PR decisions.
Orchestrates a panel of external AI models (Gemini, Codex, Qwen, GLM, Kimi) for consensus-driven reviews of code, architecture, and plans. Invoke via /council or explicit request.
Runs parallel specialized reviewers (deep-reviewer, devil-advocate, fact-checker, tone-guardian, structure-analyst) with presets for content, strategy, code, security, and academic review. Merges findings through a consensus gate.