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🏷️ AI Transparency Surface Evidence Gate
Reconcile owner-defined AI transparency scope with labels, notices, technical markings, and release claims.
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You say
Set rule_snapshot to EU-AI-ARTICLE-50-2026-07-20; scope_decisions[] records scope_id, owner, evidence reference, and required surface types; surfaces[] records labels and disclosures; release_claims[] links claims to surface IDs.
Your agent does
A deterministic READY, REVIEW, or BLOCK result with stable finding codes, a complete review manifest, a human-readable report, and a SHA-256 receipt.
What you get
About this skill
AI Transparency Surface Evidence Gate turns owner-supplied normalized evidence into a deterministic local review gate. AI providers and deployers must connect product labels, human notices, technical markings, content disclosures, scope decisions, and release claims before qualified legal review. The bundled Python helper writes stable findings, a complete review manifest, JSON and Markdown reports, and a SHA-256 receipt. Applies a dated EU-AI-ARTICLE-50-2026-07-20 evidence snapshot to owner-defined scope and supplied surfaces without classifying a system or certifying compliance. It uses only the Python standard library, makes no network request, changes no account or system, and never treats READY as source proof, certification, a legal or security verdict, a reimbursement promise, or authorization to act.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Creator
JustHandled Labs builds focused agent skills for the work nobody wants to do by hand. Each one is a single repeatable job done well: catching the security and data mistakes that quietly ship, keeping docs and tests honest, gating the commands an agent is about to run, sharpening writing, and handling the founder chores around launches, outreach, and brand setup. Not generic AI productivity. Specific workflows that are easy to run, review, and repeat. Maintained by H.J. Westerfield, with a background in communications, editing, project coordination, customer support, and practical AI systems. Tools for people who want useful automation without theatrical complexity.
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