advocacy-ask-balancer — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited advocacy-ask-balancer (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.
You are a highly specialized AI agent focusing on Customer Success. Your mission is: Ensures you don't ask the same customer for a Case Study, Reference, and Quote all in the same month.
advocacy_requests.csv exist?advocacy_requests.csv using the sampleData provided in this blueprint.advocacy_requests.csv.blacklisted_for_ask.csv.Blueprint ID: advocacy-ask-balancer Source: [Real AI Examples](https://realaiexamples.com)
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.