Council Review Skill

SkillAI & models

Domain knowledge for multi-agent council review protocols, orchestration patterns, scoring systems, and deliberation frameworks

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Council Review Skill skill

What this skill tells your AI

The instructions your AI receives, as published by thelobbi/claude in plugins/claude-code-expert/skills-old/council-review/SKILL.md and read by ahel’s review.

Domain knowledge for orchestrating multi-agent review councils with structured deliberation protocols.

Use For

  • Running /cc-council reviews with appropriate protocol selection
  • Configuring council members, weights, and voting thresholds
  • Understanding when to use each deliberation protocol
  • Interpreting council scores and making go/no-go decisions
  • Setting up auto-fix pipelines with confidence thresholds
  • Integrating council reviews into CI/CD pipelines

Protocol Selection Guide

Decision Tree

What are you reviewing?
├── Security-sensitive code (auth, payments, secrets)
│   └── Use: red-blue-team --preset security
├── Architecture or design decision
│   └── Use: six-thinking-hats --preset architecture
├── Small PR (<100 lines)
│   └── Use: rapid-fire --preset quick
├── Large PR (>500 lines, multi-file)
│   └── Use: blackboard --preset full
├── Contentious change (team disagreement)
│   └── Use: delphi --preset standard
└── Regular code change
    └── Use: expert-panel --preset standard

Protocol Comparison

ProtocolRoundsAgent InteractionToken CostQualitySpeed
rapid-fire1NoneLowGoodFast
expert-panel1-2After analysisMediumHighMedium
blackboardAsyncShared spaceMediumHighMedium
red-blue-team2AdversarialHighVery HighSlow
six-thinking-hats6 viewsStructuredHighVery HighSlow
delphi2-3AnonymousHighestHighestSlowest

Orchestration Best Practices

Fan-Out / Fan-In

  • Always spawn all agents in a single message for true parallelism
  • Each agent gets scoped context — only the files/info they need
  • Use run_in_background: false so results come back synchronously
  • Handle partial failures: if 3/4 agents respond, proceed with 3

Context Scoping

Giving each agent the minimum viable context:

  • Reduces token cost by 40-60%
  • Improves finding quality (less noise to filter)
  • Prevents agents from commenting outside their specialty

Weight Calibration

Default weights reflect review importance:

code-reviewer:         1.0  (always relevant)
security-reviewer:     0.9  (high impact, veto power)
architecture-reviewer: 0.9  (structural decisions matter)
test-strategist:       0.8  (coverage critical for confidence)
performance-analyst:   0.7  (important but often subjective)
accessibility-reviewer: 0.6 (important for frontend)
api-reviewer:          0.6  (important for API changes)
dependency-auditor:    0.6  (important for supply chain)
docs-reviewer:         0.5  (lower weight, rarely blocks)

Veto Power

  • Only security-reviewer and secrets-scanner have default veto
  • Veto triggers on: critical finding + confidence >= 0.8
  • Veto overrides weighted voting — always results in changes-requested
  • Rationale: security issues must never be approved by majority vote

Consensus Detection

When 2+ agents flag the same file+line range:

  • Boost confidence by 1.2x
  • Mark as "consensus" in report (stronger signal)
  • These findings are almost always valid

Conflict Resolution

When agents disagree on severity:

  • Lead agent (if designated) has tie-breaking authority
  • Otherwise: higher-weight agent's assessment wins
  • Always report the conflict with both perspectives

Scoring System

Scope Independence

Each scope (security, quality, performance, etc.) is scored independently on a 0-100 scale. This prevents a strong quality score from masking a weak security score.

Deduction Tables

Findings map to deductions via category lookup tables. The deduction is multiplied by the finding's confidence score, so low-confidence findings have proportionally less impact.

Scoring Modes

Weighted (default): Scope scores are combined using configurable weights. Good for overall quality assessment where trade-offs are acceptable.

Pass-fail: Each scope must independently meet its threshold. Good for compliance and gating — no scope can compensate for another.

Highest-concern: Overall score equals the weakest scope. Most conservative mode — forces attention to the weakest area.

Auto-Fix Guidelines

When to Auto-Fix

  • Formatting and style issues (confidence typically 0.95+)
  • Import organization (high confidence, mechanical)
  • Type annotations (when TypeScript can infer)
  • Simple null checks (optional chaining additions)

When NOT to Auto-Fix

  • Business logic changes (too context-dependent)
  • Architecture refactoring (requires human judgment)
  • Test modifications (risk of masking real failures)
  • Migration files (must be append-only)
  • Generated files (will be overwritten)

Safety Checks

After auto-fix:

  1. Run --fix-dry-run first to preview changes
  2. Auto-fix respects skip_patterns in config
  3. Post-fix validation: lint + typecheck
  4. If validation fails: revert the fix, report as "fix-failed"

CI/CD Integration

Pre-Merge Gate

# In CI pipeline:
/cc-council . --preset pre-merge --format json --changed-only > council-result.json
# Check exit code: 0=approved, 1=changes-requested, 2=error

Quality Gate Thresholds

Recommended thresholds by environment:

Development:  --threshold 0.5  (permissive, speed over safety)
Staging:      --threshold 0.7  (balanced)
Production:   --threshold 0.85 (strict)
Compliance:   --threshold 0.9 --scoring pass-fail (audit-grade)

State Machine & Resume

The council saves state at each phase boundary. If a phase fails (e.g., network timeout during fan-out), you can resume from the last checkpoint:

/cc-council --resume <session-id>

State includes:

  • Council plan (members, protocol, scopes)
  • Raw agent outputs (findings + votes)
  • Deliberation results (consensus, conflicts)
  • Score calculations

This means you never lose work from a partially completed council.

Signals

GitHub stars
21
Forks
2
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
council-review-thelobbi
Source
github.com/thelobbi/claude