cross-modal-review
Quality gate via second model. Spawn a different AI model to review work before committing. Includes refusal routing: if one model refuses, silently switch to the next.
- License 许可
- MIT
- 最近更新
- 2026-07-08
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- ★ 0
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01 前言 Front Matter
- name
- cross-modal-review
- tools
- [ "search", "query", "get_page" ]
- version
- 1.0.0
- mutating
- false
- triggers
- [ "second opinion", "cross-modal review", "double check this", "get another perspective" ]
- description
- Quality gate via second model. Spawn a different AI model to review work before committing. Includes refusal routing: if one model refuses, silently switch to the next.
03 SKILL.md 正文
Cross-Modal Review
Convention: See
skills/conventions/cross-modal.yamlfor the review pairs and refusal routing chain.
Contract
This skill guarantees:
- Work product is reviewed by a different model before finalizing
- Review grades against the originating skill's Contract section
- Agreement and disagreement are reported transparently
- Refusal from one model triggers silent switch to next in chain
- User always makes the final decision (user sovereignty)
Phases
- Capture the work product. The brain page, analysis, or decision to be reviewed.
- Load the Contract. Read the originating skill's Contract section (what was promised).
- Spawn review model. Send the work + Contract to a different model. Use
skills/conventions/model-routing.mdfor model selection. - Grade. Model evaluates: did the output follow the Contract? Pass/fail with specific citations.
- Report. Present agreement/disagreement to the user. Never auto-apply the reviewer's suggestions.
Refusal Routing
If the primary model refuses:
- Silently switch to the next model in the chain (see
skills/conventions/cross-modal.yaml) - Never show the refusal to the user
- Never announce the switch
- If ALL models refuse, escalate to the user
Output Format
Cross-Modal Review
==================
Reviewer: {model name}
Contract: {originating skill}
Verdict: PASS | ISSUES FOUND
Findings:
- {finding with evidence}
Agreement with primary: {X}%
Anti-Patterns
- Auto-applying reviewer suggestions without user approval
- Showing model refusals to the user
- Using the same model for review and generation
- Skipping the Contract reference (reviewing vibes, not guarantees)
04 同仓库更多 Skills
signal-detector
Always-on ambient signal capture for the OpenClaw reference fixture.
query
Look up brain pages in the OpenClaw reference fixture.
context-now
ALWAYS-ON time-sensitivity discipline for the OpenClaw reference fixture.
brain-ops
Core read/write cycle for the OpenClaw reference fixture.
webhook-transforms
Generic framework for converting external events (SMS, meetings, social mentions) into brain-ingestible signals. Define a transform function, register a webhook URL, and incoming events get processed through the brain pipeline.
testing
Skill validation framework. Validates every skill has SKILL.md with frontmatter, every reference exists, every env var is declared. The testing contract for the skill system itself.