ai-act-risk-checkAssesses AI system risk polarity based on Annex III of the EU AI Act, identifying high-risk categories like biometrics and employment.
Install via ClawdBot CLI:
clawdbot install bluesbell/ai-act-risk-checkGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
An HR department uses an AI system to filter job applications by predicting candidate performance based on resumes and assessments. This falls under the employment category in Annex III, making it high-risk due to potential bias and impact on livelihoods.
A security company deploys facial recognition AI to manage access to secure facilities. This involves biometric identification, which is explicitly listed in Annex III as high-risk, requiring strict compliance with the EU AI Act.
A university implements an AI tool to automatically grade essays and provide feedback to students. As part of the education category in Annex III, this is considered high-risk due to its influence on academic outcomes and opportunities.
An energy utility uses AI algorithms to monitor and predict failures in power grid components. This falls under critical infrastructure in Annex III, classifying it as high-risk because failures could disrupt essential services and public safety.
A police department employs AI to analyze crime data and predict hotspots for patrol allocation. This is high-risk under the law enforcement category in Annex III, given its impact on civil liberties and public trust.
Offer the risk check tool as a cloud-based service with tiered pricing based on usage volume, such as per-assessment fees or monthly subscriptions. This model targets businesses needing regular compliance audits, generating recurring revenue.
Bundle the skill with professional services, where consultants use it during client engagements to assess AI systems and provide tailored compliance advice. This adds value through expertise and customization.
Sell perpetual licenses to large organizations for on-premise deployment, allowing them to integrate the risk check into their internal development pipelines. This model suits firms with high security or regulatory needs.
💬 Integration Tip
Integrate this skill early in the AI development lifecycle to flag high-risk systems before deployment, using simple shell commands or API calls for quick assessments.
Scored Apr 15, 2026
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