Automate ME-1 checkpoint scoring for L88_DIAGNOSTIC_PAYLOAD with HB validation.
npx skills add https://github.com/gapfDev/workflow --skill me-1
Please help me install this Agent Skill. Skill: me-1 Source: https://github.com/gapfDev/workflow/tree/main/c1.5/.claude/skills/me-1 Command: npx skills add https://github.com/gapfDev/workflow --skill me-1
Automates the ME-1 checkpoint scoring for L88_DIAGNOSTIC_PAYLOAD, providing a structured, repeatable evaluation across the four dimensions P, C, A, and T with HB validation to guide decisions.
Run ME-1 to score the L88_DIAGNOSTIC_PAYLOAD using the P, C, A, T dimensions and HB validation.
High-intent search queries and answers about installing and using this skill.
ME-1 checkpoint scoring calculates L88 diagnostic payload scores by evaluating four dimensions (P, C, A, T) and applying the formula (P + C + A + T) / 4. It applies explicit calibration anchors to each dimension to produce actionable judgments and identify gaps.
The (P+C+A+T)/4 formula standardizes B1 Exit assessments by computing a repeatable ME-1 score across payload dimensions. This standardizes payload evaluation to accelerate decision-making and documentation.
HB validation gate forecasting derives an outcome from diagnostic scoring to predict human QA requirements and residual risk. It integrates HB projection into the dimensional scoring to guide decisions during B1 Exit workflows.
Yes, ME-1 scoring applies explicit calibration anchors for each payload dimension (P, C, A, T) to produce actionable judgments. This process identifies evaluation gaps and records results for traceability.
ME-1 scoring requires no external dependencies or components. It encapsulates the evaluation criteria, anchors, and scoring formula internally for repeatable assessments.
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