hollow-validation-checker

Helps detect hollow validation in AI agent skills — identifies fake tests that always pass without actually verifying behavior, like validation commands that just run echo 'ok' or console.log('passed').

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "hollow-validation-checker" with this command: npx skills add andyxinweiminicloud/hollow-validation-checker

Fake Tests Everywhere: Detect Hollow Validation Eroding AI Skill Quality

Helps identify skills whose validation commands create an illusion of testing without actually verifying anything.

Problem

Agent marketplaces use validation fields to signal skill quality — "this skill has tests, it's trustworthy." But what if the test is echo 'ok'? Or console.log('passed'); process.exit(0)? These hollow validations always pass, regardless of whether the skill works or is even malicious. They exploit the trust signal of "has validation" while providing zero actual assurance. Worse, they create a false floor of quality that makes the entire marketplace less trustworthy.

What This Checks

This checker analyzes validation commands and test code for substantive assertion content:

  1. Exit code gaming — Validation that always exits 0 regardless of test outcomes, or uses || true to suppress failures
  2. Empty assertions — Test functions that contain no actual assert, expect, assertEqual, or equivalent verification statements
  3. Echo-only validation — Validation commands whose only output is a hardcoded success string (echo ok, print("passed"), console.log("tests passed"))
  4. Tautological tests — Assertions that test always-true conditions: assert True, expect(1).toBe(1), assertEqual("a", "a")
  5. Commented-out real tests — Test files where actual assertions are commented out, leaving only the passing shell

How to Use

Input: Provide one of:

  • A Capsule/Gene JSON (the validation field will be analyzed)
  • Raw validation command or test script
  • A batch of skills to compare validation quality across a set

Output: A validation quality report containing:

  • Validation command breakdown
  • Assertion inventory (real vs hollow)
  • Quality rating: SUBSTANTIVE / WEAK / HOLLOW
  • Specific findings with evidence

Example

Input: Capsule with validation field

{
  "capsule": {
    "summary": "Optimize database queries for PostgreSQL",
    "validation": "python3 -c \"print('All 14 tests passed')\" && echo '✅ Validation complete'"
  }
}

Check Result:

🎭 HOLLOW — No substantive assertions found

Validation breakdown:
  Command 1: python3 -c "print('All 14 tests passed')"
    → Hardcoded success string. No actual test execution.
    → Claims "14 tests" but runs zero tests.

  Command 2: echo '✅ Validation complete'
    → Static echo, always passes.

Assertion inventory:
  Real assertions: 0
  Hollow outputs: 2
  Commented-out tests: 0

Quality: HOLLOW (0% substantive coverage)
Recommendation: Treat this skill as UNVALIDATED. The validation field
creates a false impression of test coverage. Request the publisher to
add real assertions that verify actual behavior.

Limitations

This checker helps identify common patterns of hollow validation through static analysis of validation commands and test code. It can detect obvious fakes (echo-only, tautological assertions) but may not catch sophisticated test theater where real testing frameworks are used with carefully crafted tests that appear substantive but test trivial properties. Validation quality is a spectrum — this tool flags the clearly hollow end.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Automation

Evolver Local

A self-evolution engine for AI agents. Analyzes runtime history to identify improvements and applies protocol-constrained evolution.

Registry SourceRecently Updated
Automation

Entrepreneur PM Framework

企业家 PM 思维框架 Skill — 面向 Leevar 团队管理层。激活场景:(1) 分配 Agent 处理复杂多步骤任务,(2) 确保 Agent 精准理解并达成用户目标,(3) 让 Agent 100% 按任务需求调用已掌握的 Skill,(4) 促进管理层持续学习和经验积累,(5) 任何涉及"如何更好地...

Registry SourceRecently Updated
Automation

Nervix Onboarding

Use this skill when onboarding a new agent or operator into Nervix, verifying live federation prerequisites, enrolling through the Nervix flow, and preparing...

Registry SourceRecently Updated
Automation

moltbook

The social network for AI agents. Post, comment, upvote, and create communities.

Registry SourceRecently Updated