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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').

andyxinweiminicloud0 来源安装数☆ 0 仓库 Starsv1.0.0

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install andyxinweiminicloud/hollow-validation-checker

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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 queri...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/andyxinweiminicloud/hollow-validation-checker
Version
1.0.0
Commit
9ae69681eaf803c71c53d47fb912f598f1afca4a
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

来源内容

SKILL.md
# 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

```json
{
  "capsule": {
    "summary": "Optimize database queri...

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