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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 installations selon la source☆ 0 Étoiles du dépôtv1.0.0

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install andyxinweiminicloud/supply-chain-poison-detector

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

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",...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/andyxinweiminicloud/supply-chain-poison-detector
Version
1.0.0
Commit
9a5f4069f256315fc6e7c3bfc375623877e9cd19
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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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