Score AI-generated artifacts on a 0–100 trust scale across five dimensions.
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill trust-score
Please help me install this Agent Skill. Skill: trust-score Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/trust-score Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill trust-score
Score AI-generated artifacts to ensure a reliable trust gate before sharing.
Run the trust-score workflow on your artifact to obtain a per-dimension and composite trust score.
High-intent search queries and answers about installing and using this skill.
To verify AI output quality before sharing a document, you need a trust gate that scores artifacts on a 0–100 scale. This skill provides a per-dimension scorecard, a composite score, and a distribution gate to guide your sharing decisions.
A trust score validates AI-generated artifacts by evaluating them across five verifiable dimensions, scoring each from 0–20. It combines these into a composite 0–100 score with a distribution gate to decide if the artifact is reliable enough to share.
You score AI-generated workbooks or decks before external distribution by running a trust-score workflow. This generates a per-dimension scorecard, a composite score, and explicit provenance prompts to ensure traceability and guide sharing decisions.
Yes, you can trace why an AI artifact received a low quality assurance score because the skill provides a verification trail and explicit provenance prompts. It also offers guidance to improve future iterations based on the per-dimension scorecard.
Yes, the trust score gate works for validating any AI-generated artifact, including decks, workbooks, and documents. It scores outputs across five verifiable dimensions to provide a composite score and guide external distribution decisions.
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