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Get Started Free →alibaba/open-code-review-delegate
Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution.
Passed 13 of 18 test cases with the skill, and 7 of 18 without it.
and 8 more in the full report
9 fixed7 passed either way5 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
A newer attempt on gemini-3.8-flash on 10/19/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
We want to pass a short inline note 'Migrating from Vue 2 to Vue 3' to `ocr delegate preview` without creating a separate disk file. Which CLI flag should be used?
| Checked | Without skill | With skill |
|---|---|---|
| Passes inline business context using -b or --background | Missed | Passed |
The instructions your model reads when the skill loads.
This Codex plugin skill intentionally mirrors the canonical skill at
skills/open-code-review-delegate/SKILL.md. Keep both files synchronized when
updating OCR delegation instructions; a symlink is avoided because plugin
installs may only materialize the plugin subtree.
A skill for performing AI code review where OCR provides deterministic engineering (file filtering, rule resolution) and the host agent performs the actual review using its own intelligence and tools.
ocr delegate preview --format json [--from <ref> --to <ref>] [--commit <hash>] [--exclude <patterns>]
This outputs:
Common invocations:
| Scenario | Command |
|---|---|
| Workspace changes | ocr delegate preview |
| Branch comparison | ocr delegate preview --from main --to feature |
| Single commit | ocr delegate preview -c abc123 |
ocr delegate rule --format json <path1> <path2> ...
Pass the reviewable file paths from Step 1. Output is grouped by rule content — files sharing the same rule appear under one group, avoiding repetition.
test cases passed, vs 7 / 18 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.