Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
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...
skill openclawclawhub Free
Helps detect hollow validation in AI agent skills — identifies fake tests that always pass without actually verifying behavior, like validation commands that...
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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
- 1.0.0
Provenance
- Publisher
- andyxinweiminicloud
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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: Exit code gaming — Validation that always exits 0 regardless of test outcomes, or uses || true to suppress failures Empty assertions — Test functions that contain no actual assert, expect, assertEqual, or equivalent verification statements Echo-only validation — Validation commands whose only output is a hardcoded success string (echo ok, print("passed"), console.log("tests passed")) Tautological tests — Assertions that test always-true conditions: assert True, expect(1).toBe(1), assertEqual("a", "a") 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.
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md