agentic-engineering — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited agentic-engineering (Agent Skill) and scored it 92/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 2 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 2 flagged
The text {match} tells the agent to skip the normal "ask the user first" gate. Used adversarially it removes the human-in-the-loop check before destructive or sensitive actions, turning a normally-gated agent into a fire-and-forget executor.
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.
Use this skill for engineering workflows where AI agents perform most implementation work and humans enforce quality and risk controls.
Apply the 15-minute unit rule:
Prioritize:
Do not waste review cycles on style-only disagreements when automated format/lint already enforce style.
Track per task:
Escalate model tier only when lower tier fails with a clear reasoning gap.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.