Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Assesses AI system risk polarity based on Annex III of the EU AI Act, identifying high-risk categories like biometrics and employment.
Assesses AI system risk polarity based on Annex III of the EU AI Act, identifying high-risk categories like biometrics and employment.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Description: Quickly assesses a preliminary risk classification for an AI system based on the high-risk categories listed in Annex III of the EU AI Act (focusing on biometrics, critical infrastructure, education, employment, essential services, law enforcement, and justice). Usage: ```bash ai-act-risk-check "Our system is an AI algorithm that screens job applications based on predicted performance metrics." ``` Output: A determination of HIGH-RISK or LOW-RISK, along with the relevant Annex III category (if high-risk). Dependencies: None (uses pure shell and oracle via exec for inference). Execution Logic: Passes the user's description to an LLM for classification against the hard-coded Annex III criteria.
Identity, auth, scanning, governance, audit, and operational guardrails.
Largest current source with strong distribution and engagement signals.