Quantify over-edits in Python diffs using Levenshtein distance and cognitive complexity deltas.
npx skills add https://github.com/daedalus/skills --skill over-edit-measure
Please help me install this Agent Skill. Skill: over-edit-measure Source: https://github.com/daedalus/skills/tree/main/skills/over-edit-measure Command: npx skills add https://github.com/daedalus/skills --skill over-edit-measure
This Skill quantifies over-edits in Python code diffs, revealing how much a change rewrites intent beyond what was strictly necessary.
Run the script on your original.py and modified.py to produce a per-function CC delta and Levenshtein score.
High-intent search queries and answers about installing and using this skill.
Token-level Levenshtein distance measures the exact number of token changes between original and modified Python code, quantifying how much a diff rewrites intent beyond the minimal required fix.
Cognitive complexity delta in code review compares the readability impact of original versus modified Python functions, showing exactly how much a code change increases or decreases structural complexity.
You calculate a patch score by comparing a submitted Python diff against a ground-truth minimal fix, generating a score that reflects how closely the patch matches the necessary changes.
You can process both single and batch Python code diffs, generating per-function cognitive complexity deltas and Levenshtein scores for one patch or many patches simultaneously.
Yes, you need the cognitive-complexity dependency installed, as the Skill relies on it to compute per-function readability deltas when analyzing Python code diffs.
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