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adversarial-coach

Adversarial implementation review based on Block's g3 dialectical autocoding research. Use when validating implementation completeness against requirements with fresh objectivity.

skill openclawclawhub Free
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High Signal

Adversarial implementation review based on Block's g3 dialectical autocoding research. Use when validating implementation completeness against requirements with fresh objectivity.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.9.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 9 sections Open source page

Usage

/coach [requirements-file] /coach - Infer requirements from context /coach requirements.md - Validate against specific file

Coach-Player Loop

You orchestrate this dialectical loop between implementing agent (player) and reviewer (coach): You (player) implement features /coach invokes adversarial review with independent evaluation of compliance to requirements Coach returns: IMPLEMENTATION_APPROVED or specific fixes Address feedback, loop until approved

Step 1: Identify Requirements

Check (in order): Specified requirements file or issue/ticket mentioned requirements.md, REQUIREMENTS.md, SPEC.md, TODO.md Conversation context; ask user if nothing found

Step 2: Adversarial Review

Review with fresh objectivity - discard prior knowledge, don't rationalize shortcuts. Check CategoryItemsRequirementsEach item: implemented or missing with specific gapCompilationCompiles? Tests pass? Runs?Common GapsAuth on endpoints, token refresh endpoint, HTTPS, bcrypt for passwords, error handling, input validationFunctionalTest actual flows (not just compilation), verify edge cases workTest CoverageAuth error cases (401/403), token expiry, invalid inputs, rate limits

Step 3: Return Verdict

  • If approved (>95% complete):
  • IMPLEMENTATION_APPROVED
  • [Requirement 1]: Verified
  • [Requirement 2]: Verified
  • Compilation: Success
  • Tests: All passing
  • If fixes needed:
  • REQUIREMENTS COMPLIANCE:
  • [Requirement]: Implemented
  • [Requirement]: Missing - [specific gap]
  • IMMEDIATE ACTIONS NEEDED:
  • 1. [Specific fix with file/line if known]
  • 2. [Specific fix]

Key Principles

Rigorous but fair: Catch real gaps (security, logic, data flow), not style preferences Functionality over aesthetics; always flag security issues (auth, crypto, validation) Concise: Bullets, not essays; specific issues, not vague concerns No file contents or verbose analysis in output Fresh context is your superpower: Review as if you've never seen this code; validate against requirements, not intentions

Magic Signal

IMPLEMENTATION_APPROVED = termination signal Only use when: all requirements met, code compiles/runs, tests pass, no significant gaps. If in doubt, don't approve.

Minimal Example

  • User: /coach SPEC.md
  • Claude:
  • REQUIREMENTS COMPLIANCE:
  • User registration endpoint (bcrypt hashing)
  • Login with JWT tokens
  • Logout endpoint - not implemented
  • Token refresh - missing /auth/refresh endpoint
  • IMMEDIATE ACTIONS NEEDED:
  • 1. Add POST /auth/logout endpoint
  • 2. Add POST /auth/refresh for token renewal
  • 3. Add tests for 401 on expired tokens
  • ---
  • User: [fixes] /coach SPEC.md
  • Claude:
  • IMPLEMENTATION_APPROVED
  • All auth endpoints verified (register, login, logout, refresh)
  • 18 tests passing including auth error cases

Research

Paper: Adversarial Cooperation in Code Synthesis Implementation: g3 Key insight: Discard implementing agent's self-report; perform independent evaluation against requirements.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc