How do I install the Supply Chain Attack Smlt skill?

Run npx skillmds@latest add undermybelt/supply-chain-attack-smlt in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Supply Chain Attack Smlt safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Supply Chain Attack Smlt?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Supply Chain Attack Smlt free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under Apache-2.

Who published Supply Chain Attack Smlt?

undermybelt (@undermybelt) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Supply Chain Attack Smlt by undermybelt

Name: Supply Chain Attack Smlt
Author: undermybelt

Supply Chain Attack Smlt

Simulate and detect software supply chain attacks including typosquatting detection via Levenshtein distance, dependency confusion testing against private registries, package hash verification with pip, and known vulnerability scanning with pip-audit.

undermybelt Updated Sep 17, 2026

File contents

Performing Supply Chain Attack Simulation

Overview

Software supply chain attacks exploit trust in package registries through typosquatting (registering names similar to popular packages), dependency confusion (publishing higher-version public packages matching private names), and compromised package distribution. This skill detects these attack vectors by computing Levenshtein distance between package names and popular PyPI packages, verifying package integrity via SHA-256 hash comparison, scanning for known CVEs with pip-audit, and testing dependency resolution order for confusion vulnerabilities.

When to Use

When conducting security assessments that involve performing supply chain attack simulation
When following incident response procedures for related security events
When performing scheduled security testing or auditing activities
When validating security controls through hands-on testing

Prerequisites

Python 3.9+ with pip-audit, Levenshtein, requests
Access to PyPI JSON API (https://pypi.org/pypi/{package}/json)
Network access for package metadata retrieval

Legal Notice: This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.

Key Detection Areas

Typosquatting — compare package names against top PyPI packages using edit distance thresholds
Dependency confusion — check if internal package names exist on public PyPI with higher version numbers
Hash verification — download packages and verify SHA-256 digests match published hashes
Vulnerability scanning — audit installed packages against OSV and PyPA advisory databases
Metadata anomalies — flag packages with suspicious author emails, missing homepages, or very recent first upload dates

Output

JSON report with risk scores per package, detected attack vectors, hash verification results, and CVE findings.

---name: supply-chain-attack-smltdescription: Simulate and detect software supply chain attacks including typosquatting detection via Levenshtein distance, dependency confusion testing against private registries, package hash verification with pip, and known vulnerability scanning with pip-audit.license: Apache-2.0---# Performing Supply Chain Attack Simulation## OverviewSoftware supply chain attacks exploit trust in package registries through typosquatting (registering names similar to popular packages), dependency confusion (publishing higher-version public packages matching private names), and compromised package distribution. This skill detects these attack vectors by computing Levenshtein distance between package names and popular PyPI packages, verifying package integrity via SHA-256 hash comparison, scanning for known CVEs with pip-audit, and testing dependency resolution order for confusion vulnerabilities.## When to Use- When conducting security assessments that involve performing supply chain attack simulation- When following incident response procedures for related security events- When performing scheduled security testing or auditing activities- When validating security controls through hands-on testing## Prerequisites- Python 3.9+ with `pip-audit`, `Levenshtein`, `requests`- Access to PyPI JSON API (https://pypi.org/pypi/{package}/json)- Network access for package metadata retrieval> **Legal Notice:** This skill is for authorized security testing and educational purposes only. Unauthorized use against systems you do not own or have written permission to test is illegal and may violate computer fraud laws.## Key Detection Areas1. **Typosquatting** — compare package names against top PyPI packages using edit distance thresholds2. **Dependency confusion** — check if internal package names exist on public PyPI with higher version numbers3. **Hash verification** — download packages and verify SHA-256 digests match published hashes4. **Vulnerability scanning** — audit installed packages against OSV and PyPA advisory databases5. **Metadata anomalies** — flag packages with suspicious author emails, missing homepages, or very recent first upload dates## OutputJSON report with risk scores per package, detected attack vectors, hash verification results, and CVE findings.

Frequently asked questions