swe-review-analyzelisted

# swe-review-analyze > Wraps `swe_review.AnalyzeSkill` and `AnalyzerSubAgent`. ## When to use When you want fast, deterministic metadata about a diff without paying for an LLM call. Good for: - Pre-review routing (skip review if complexity is near zero). - Logging / observability of loop iterations. - A reviewer context augmentation. ## What it does - Splits diff into hunks, counts +/- - Detects `def name(` changes (heuristic for public API surface) - Detects `# TODO`, `XXX`, `FIXME` inside new lines - Detects `except`/`raise` patterns (new failure paths) - Returns a 0..1 `complexity_score` ## How to invoke ```python from swe_review import AnalyzeSkill skill = AnalyzeSkill() res = await skill.execute(pr_diff=open("pr.diff").read()) print(res.payload["total_additions"], res.payload["complexity_score"]) print(res.payload["public_api_changes"]) ``` ## Output keys - `total_hunks`, `total_additions`, `total_deletions`, `files_changed` - `public_api_changes: [str]` - `suspicious_spots: [{file, hunk, kind}]` - `complexity_score: float` (0.0–1.0)