Claude-skill-registry council-verify
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/council-verify" ~/.claude/skills/majiayu000-claude-skill-registry-council-verify && rm -rf "$T"
manifest:
skills/data/council-verify/SKILL.mdsource content
Council Verification Skill
Use LLM Council's multi-model deliberation to verify work with structured, machine-actionable verdicts.
When to Use
- Verify code changes before committing
- Validate implementation against requirements
- Check documents for accuracy and completeness
- Get multi-model consensus on quality
Workflow
- Capture Snapshot: Capture current git diff or file state (snapshot pinning for reproducibility)
- Invoke Verification: Call
with isolated contextmcp:llm-council/verify - Receive Verdict: Get structured JSON with verdict, confidence, and blocking issues
- Audit Trail: Persist transcript via
mcp:llm-council/audit
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
| string | null | Focus area: "Security", "Performance", "Accessibility" |
| float | 0.7 | Minimum confidence for PASS verdict |
| string | required | Git commit SHA for reproducibility |
Output Schema
{ "verdict": "pass|fail|unclear", "confidence": 0.85, "rubric_scores": { "accuracy": 8.5, "completeness": 7.0, "clarity": 9.0, "conciseness": 8.0 }, "blocking_issues": [...], "rationale": "Chairman synthesis...", "transcript_location": ".council/logs/..." }
Exit Codes (for CI/CD)
: PASS - Approved with confidence >= threshold0
: FAIL - Rejected1
: UNCLEAR - Confidence below threshold, requires human review2
Example Usage
# Verify current changes council-verify --snapshot $(git rev-parse HEAD) --rubric-focus Security # Verify specific files council-verify --target-paths "src/auth.py,src/api.py" --snapshot abc123
Progressive Disclosure
- Level 1: This metadata (~200 tokens)
- Level 2: Full instructions above (~600 tokens)
- Level 3: See
for detailed rubric definitionsreferences/rubrics.md
Related Skills
: Code review with structured feedbackcouncil-review
: CI/CD quality gatecouncil-gate