Score adaptive behavior against a 6-check rubric and output a self_score payload.
npx skills add https://github.com/DazedtilDawn/operators-edge --skill edge-score
Please help me install this Agent Skill. Skill: edge-score Source: https://github.com/DazedtilDawn/operators-edge/tree/main/codex/skills/edge-score Command: npx skills add https://github.com/DazedtilDawn/operators-edge --skill edge-score
Enable self-scoring of adaptive behavior against the 6-check rubric.
Run edge-score after a session to rate each of the six checks and save the results to active_context.yaml.
High-intent search queries and answers about installing and using this skill.
A post-session self-assessment rubric for adaptive behavior is a structured framework to evaluate six specific checks after a session, enabling individuals to capture lessons and generate a consolidated self_score for performance traceability.
To score adaptive behavior using a six-check rubric, run a post-session reflection to rate mismatch detection, plan revision, tool switching, memory update, proof generation, and stop condition, then output a structured self_score payload.
Yes, you can use a self-assessment rubric for AI-assisted workflow post-mortem reviews, performance improvement cycles, and learning audits to systematically evaluate adaptive behavior and update active context.
Yes, the self-scoring process requires minimal inputs to evaluate post-session adaptive performance against the six checks and outputs a structured self_score payload with a consolidated level for active_context.yaml.
The six-check adaptive behavior rubric evaluates post-session scenarios including mismatch detection, plan revision, tool switching, memory update, proof generation, and escalation decisions to capture comprehensive performance lessons.
To save self-assessment results to active_context.yaml, run the post-session reflection to rate each of the six checks, which generates a structured self_score payload and updates the active context file for traceability.
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