Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
What This Skill Does
A dialectical review loop where an adversarial coach independently validates implementation completeness against a requirements file. Based on Block's g3 research, it separates the implementing agent from the reviewer to catch gaps the implementer would rationalize away. Returns either IMPLEMENTATION_APPROVED or a concrete list of missing items.
Unlike self-review, the coach discards prior context and evaluates code against requirements as written, catching gaps the implementing agent would overlook or excuse.
When to use it
- Catching missing auth endpoints before code review
- Verifying a spec is fully implemented after a coding session
- Looping on fixes until all requirements are met
- Reviewing JWT/bcrypt security gaps in auth implementations
- Validating edge case test coverage against a written spec
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: /coach SPEC.md
- 1Locate and parse SPEC.md to extract all requirements
- 2Review the current implementation independently, ignoring prior conversation context
- 3Check each requirement for implementation status, compilation, tests, and security gaps
- 4Return compliance report with IMMEDIATE ACTIONS NEEDED listing specific files and fixes
- 5After user applies fixes, re-run review until IMPLEMENTATION_APPROVED is issued
IMPLEMENTATION_APPROVED with each requirement verified and test count confirmed