| name | council-verify |
| description | Verify code, documents, or implementation against requirements using LLM Council multi-model deliberation.
Use when you need multi-model consensus on correctness, completeness, or quality.
Keywords: verify, check, validate, review, approve, pass/fail, consensus, multi-model
|
| license | Apache-2.0 |
| compatibility | llm-council >= 2.0, mcp >= 1.0 |
| metadata | [object Object] |
| allowed-tools | Read Grep Glob mcp:llm-council/verify mcp:llm-council/audit |
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
mcp:llm-council/verify with isolated context
- 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 |
rubric_focus |
string |
null |
Focus area: "Security", "Performance", "Accessibility" |
confidence_threshold |
float |
0.7 |
Minimum confidence for PASS verdict |
snapshot_id |
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)
0: PASS - Approved with confidence >= threshold
1: FAIL - Rejected
2: UNCLEAR - Confidence below threshold, requires human review
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
references/rubrics.md for detailed rubric definitions
Related Skills
council-review: Code review with structured feedback
council-gate: CI/CD quality gate