ml-decision-boundary-assessment
From the author
Evaluates classifiers and scoring models used as security gates for adversarial robustness, preprocessing differences, thresholds, abstention, and fallback behavior. Use when an authorized assessment must measure whether bounded input changes alter a security decision.
Install
npx skills add zero-lab-ai/skills --skill ml-decision-boundary-assessment -a claude-code
Installs to .claude/skills/ml-decision-boundary-assessment/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 85
aiqbench computes the trust score from public signals. It is not a security audit, so read a skill before you install it.
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