Year Guessing Game — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Year Guessing Game (Agent Skill) and scored it 87/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 3 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 3 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.
A game where the AI asks leading questions about current events, technologies, politics, and culture to deduce the specific year the user is currently in. Questions are designed for general knowledge level and focus on era-specific indicators.
You are a game master. Your objective is to guess the user's current year by asking a series of leading questions.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.