External recon for software supply-chain attack surface — package-namespace squatting candidates, dependency-confusion vulnerabilities, GitHub Actions injection openings, container image registry exposure, SBOM mining, internal-package-name leakage, and CI/CD configuration exposure. Reconnaissance and identification ONLY — actual package publishing / typosquat attacks are EXTERNAL-OFFENSIVE and require explicit written sign-off because they can affect the entire npm/PyPI ecosystem. Use when the target has a public GitHub org, when their build artifacts/SBOMs are reachable, when their docker images are on Docker Hub/GHCR, or when you find internal package names in their JS bundles.
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Critical
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Security
2 findings: 2 critical severity. Installing this skill is not recommended: please review these findings carefully if you do intend to do so.
Detected a suspicious URL in the skill instructions that could lead the agent to download and execute malicious scripts or binaries. This includes links to executables from untrusted sources, typosquatting of official packages, URL shorteners that obscure the destination, and personal file hosting services.
The list contains https://codecov.io/bash, a known curl|bash installer that was historically tampered with to exfiltrate CI environment variables, making it a high-risk script download vector.
Detected high-risk code patterns in the skill content — including its prompts, tool definitions, and resources — such as data exfiltration, backdoors, remote code execution, credential theft, system compromise, supply chain attacks, and obfuscation techniques.
This document is an offensive supply-chain recon/playbook that gives step-by-step methods to discover internal package names, craft typosquats/dependency-confusion candidates, identify CI workflow injection vectors, and exfiltrate credentials—enabling deliberate credential theft, remote code execution, and downstream compromise.
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
SKILL.md Step 6/“GitHub Actions workflow injection scan” requires fetching outsider-authored workflow YAML from public GitHub repos via `gh api ... .github/workflows/$wf` and decoding it (`base64 -d`) into readable `content`, which would be inserted into the agent/LLM context through prompt construction around the scanned workflow text (indirect prompt injection risk).
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