A dialectical AI reviewer that validates implementation completeness against requirements through rigorous adversarial logic.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install adversarial-coach
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install adversarial-coach using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Adversarial Coach?
Adversarial Coach is a sophisticated review tool within the Openclaw Skills ecosystem designed to eliminate implementation gaps. Based on Block's g3 dialectical autocoding research, it establishes a Coach-Player loop where the implementing agent is subjected to a fresh, objective evaluation. Unlike standard reviews, this skill discards prior implementation context to ensure that every requirement is actually met rather than just rationalized.
By integrating this skill into your workflow, you leverage a systematic approach to code validation. It prioritizes functional truth over implementation intent, making it an essential part of the Openclaw Skills library for developers who require high-assurance code and strictly verified compliance with technical specifications.
Adversarial Coach Use Cases
- Validating feature implementations against requirements.md or SPEC.md files.
- Automating the review cycle between a coding agent and a quality assurance agent.
- Identifying missing security protocols like bcrypt hashing, JWT logic, or token refresh endpoints.
- Ensuring comprehensive test coverage for edge cases and authentication error states.
How Adversarial Coach Works
- Requirement Identification: The skill scans for specific files like SPEC.md, TODO.md, or requirements.md, or infers needs from the conversation context.
- Adversarial Review: It performs a fresh-objectivity review, ignoring the implementing agent's self-reports to independently verify compilation and logic.
- Compliance Mapping: The coach maps every requirement to the current code state, identifying specific gaps in security, functionality, or test coverage.
- Verdict Issuance: It returns a structured response, providing either a list of immediate actions or the IMPLEMENTATION_APPROVED termination signal.
Adversarial Coach Setup
To integrate this skill into your Openclaw Skills environment, ensure your requirements are documented in the project root. You can invoke the coach using the following command:
/coach [requirements-file]
If no file is provided, the skill will automatically attempt to locate a standard specification file or infer the requirements from the existing chat history.
Adversarial Coach Data Schema & Taxonomy
The Adversarial Coach organizes its evaluation data using a structured compliance taxonomy:
| Component | Description |
|---|---|
| Check Category | Areas of focus including Requirements, Compilation, Common Gaps, and Test Coverage. |
| Requirement Mapping | A 1:1 list of requirements vs. implementation status. |
| Action Items | Technical tasks required to reach 95% completion. |
| Verdict Signal | The terminal IMPLEMENTATION_APPROVED status used for workflow automation. |
Adversarial Coach Advanced Features
- Contextual Requirements Inference: Automatically detects project goals when no explicit requirement file is provided.
- G3 Dialectical Logic: Implements research-backed adversarial cooperation for high-fidelity code synthesis.
- Security-First Auditing: Automatically flags missing auth, rate limiting, and input validation in implementation flows.
- Automated Termination: Provides a machine-readable signal to end the agent loop once requirements are verified within Openclaw Skills.
SKILL.md
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