dag-confidence-scorer
OfficialCalibrates agent confidence with factor scoring.
Authorcuriositech
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a structured approach to quantify and calibrate the confidence of DAG outputs by evaluating multiple contributing factors such as reasoning quality, source reliability, internal consistency, completeness, and explicit uncertainty.
Core Features & Use Cases
- Multi-Factor Scoring: compute scores across reasoning, sources, consistency, completeness, and uncertainty.
- Confidence Calibration & Thresholding: calibrate raw scores using historical accuracy, task difficulty, and model bias; determine actions (accept/review/iterate/reject) via thresholds.
- Use Cases: DAG decision gating, iterative refinement, and risk-aware routing of outputs.
Quick Start
Run the scorer on a DAG output to obtain a calibrated confidence and a recommended action.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: dag-confidence-scorer Download link: https://github.com/curiositech/windags-skills/archive/main.zip#dag-confidence-scorer Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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