Collect code changes from an SDD branch into evaluation JSON.
npx skills add https://github.com/ZTE-AICloud/Co-OmniSpec --skill sddeval-collect
Please help me install this Agent Skill. Skill: sddeval-collect Source: https://github.com/ZTE-AICloud/Co-OmniSpec/tree/main/skills/sddeval-collect Command: npx skills add https://github.com/ZTE-AICloud/Co-OmniSpec --skill sddeval-collect
SDDEval collects code change information after an SDD workflow, extracting feature_infos and code_blocks and generating the JSON file required for evaluation, saved to the current SDD branch's evalset directory.
Run the skill on the current SDD branch to collect code changes and generate the evalset JSON.
High-intent search queries and answers about installing and using this skill.
You can collect SDD evaluation data by running the skill on your current branch, which reads tasks.md, extracts code blocks from git diffs, and saves a generated JSON file to the evalset directory.
Generated SDD evaluation JSON files include api and input sections, where feature_infos are extracted from tasks.md and code_blocks are derived from git diffs in the target directory.
A git repository is required because the skill identifies the current SDD branch, reads tasks.md, and analyzes code diffs in the target directory to generate the evaluation JSON.
Feature_infos are extracted by reading the '目的' lines from tasks.md in the changes/<branch>/ directory, which are then used to build the structured evaluation JSON payload.
The evaluation JSON file is saved to changes/<branch>/evalset/configiEval.generated.json, containing api and input sections structured for downstream evaluation and testing.
You can specify a custom target directory for diff analysis, but the skill defaults to 'networking_zte' if none is provided, analyzing diffs to build code_blocks for the evaluation JSON.
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