slopsquat-preflight — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited slopsquat-preflight (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Before AI-generated code ships or an agent runs on this repo, scan it with holster-scan and report back.
holster-scan is not installed: pip install holster-scan.holster-scan <absolute-path-to-repo> (defaults to the current directory). It flags two things:reqeusts, langchain-utils, panda) or published typosquats of popular packages. An attacker can register the hallucinated name, so installing it is a supply-chain risk.--format sarif for CI / code-scanning; a .holster.yml allow: list suppresses known internal/vendor-index packages.holster-scan runs entirely locally - the repo never leaves the machine. It is NOT generic SAST; it targets the risks unique to AI-generated code.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.