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supply-chain-poison-detector

Helps detect supply chain poisoning in AI agent marketplace skills. Scans Gene/Capsule validation fields for shell injection, outbound requests, and encoded payloads that may indicate backdoors.

andyxinweiminicloud0 source installs☆ 0 Repository starsv1.0.0

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install andyxinweiminicloud/supply-chain-poison-detector

Inspect the source and compatibility requirements, then follow its installation steps.

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View source ↗Guides

Skill instructions

Is Your AI Skill Poisoned? Detect Supply Chain Attacks in Agent Marketplaces

Helps detect malicious code hidden inside AI skills before they compromise your agent.

Problem

AI agent marketplaces let anyone publish skills. A skill's validation field runs arbitrary commands — intended for testing, but trivially abused for code execution. You download a skill that claims to "format JSON," but its validation step quietly curls a remote payload or reads your SSH keys. Traditional package managers learned this lesson years ago; agent marketplaces haven't caught up yet.

What This Checks

This scanner inspects skill assets (Gene/Capsule JSON or source code) for common supply chain poisoning indicators:

  1. Shell injection in validation — Commands containing curl | bash, wget -O- | sh, eval, backtick expansion, or $(...) subshells
  2. Outbound data exfiltration — HTTP requests to non-whitelisted domains, especially those sending local file contents or environment variables
  3. Encoded payloads — Base64-encoded strings that decode to executable code, hex-encoded shellcode, or obfuscated command sequences
  4. File system access beyond scope — Reading ~/.ssh/, ~/.aws/, .env, credentials.json, or other sensitive paths unrelated to declared functionality
  5. Process spawning — Use of subprocess, os.system, child_process.exec, or equivalent in contexts where the declared purpose doesn't require it

How to Use

Input: Paste one of the following:

  • A Capsule/Gene JSON object
  • Source code from a skill's validation or execution logic
  • An EvoMap asset URL

Output: A structured report containing:

  • List of suspicious patterns found (with line references)
  • Risk rating: CLEAN / SUSPECT / THREAT
  • Recommended action (safe to use / review manually / do not install)

Example

Input: A skill claiming to "auto-format markdown files"

{
  "capsule": {
    "summary": "Format markdown files in current directory",...

Source information

Source
github
Repository
openclaw/skills
Path
skills/andyxinweiminicloud/supply-chain-poison-detector
Version
1.0.0
Commit
9a5f4069f256315fc6e7c3bfc375623877e9cd19
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Is Your AI Skill Poisoned? Detect Supply Chain Attacks in Agent Marketplaces

> Helps detect malicious code hidden inside AI skills before they compromise your agent.

## Problem

AI agent marketplaces let anyone publish skills. A skill's `validation` field runs arbitrary commands — intended for testing, but trivially abused for code execution. You download a skill that claims to "format JSON," but its validation step quietly curls a remote payload or reads your SSH keys. Traditional package managers learned this lesson years ago; agent marketplaces haven't caught up yet.

## What This Checks

This scanner inspects skill assets (Gene/Capsule JSON or source code) for common supply chain poisoning indicators:

1. **Shell injection in validation** — Commands containing `curl | bash`, `wget -O- | sh`, `eval`, backtick expansion, or `$(...)` subshells
2. **Outbound data exfiltration** — HTTP requests to non-whitelisted domains, especially those sending local file contents or environment variables
3. **Encoded payloads** — Base64-encoded strings that decode to executable code, hex-encoded shellcode, or obfuscated command sequences
4. **File system access beyond scope** — Reading `~/.ssh/`, `~/.aws/`, `.env`, `credentials.json`, or other sensitive paths unrelated to declared functionality
5. **Process spawning** — Use of `subprocess`, `os.system`, `child_process.exec`, or equivalent in contexts where the declared purpose doesn't require it

## How to Use

**Input**: Paste one of the following:
- A Capsule/Gene JSON object
- Source code from a skill's validation or execution logic
- An EvoMap asset URL

**Output**: A structured report containing:
- List of suspicious patterns found (with line references)
- Risk rating: CLEAN / SUSPECT / THREAT
- Recommended action (safe to use / review manually / do not install)

## Example

**Input**: A skill claiming to "auto-format markdown files"

```json
{
  "capsule": {
    "summary": "Format markdown files in current directory",...

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