hypnguyen1209

Engage.Scorecard — AI skill for Claude Code

AI community

Calibrate model verdict trust (Wilson-bounded miss-rate) to short-circuit re-validation.

How to install Engage.Scorecard

Installs to ~/.claude/skills/hypnguyen1209-offensive-claude-engage.scorecard/SKILL.md

Terminal

mkdir -p ~/.claude/skills/hypnguyen1209-offensive-claude-engage.scorecard && curl -fsSL https://raw.githubusercontent.com/hypnguyen1209/offensive-claude/HEAD/commands/engage.scorecard.md -o ~/.claude/skills/hypnguyen1209-offensive-claude-engage.scorecard/SKILL.md

Restart Claude Code, or start a new session, for it to be picked up.

What Engage.Scorecard does

description: Calibrate model verdict trust (Wilson-bounded miss-rate) to short-circuit re-validation

/engage.scorecard

Tracks how often a model's verdicts (finding-validator / finding-checker PASS/KILL/DOWNGRADE) were later overturned, and decides — fail-closed — when a (model, decision_class) cell is trustworthy enough to skip an expensive re-validation in the autopilot loop. Backed by `engine/model_scorecard.py`.

Usage

`/engage.scorecard {record|rate|trusted|stats} ...`

Pr

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