@alibaba

Kreator · alibaba

Pembaruan terakhir · 24 Agu 2026

open-code-review-delegate

Tinjau · 67Diindeks di Registry

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. Use when the host agent should drive the re

Trust Score OpenAgentSkill
67/100

Hanya sandbox

Kualitas91/100
Audit85/100
Star21.3K
Verified installs0

Target pemasangan

Prompt pemasangan Codex

Install the "open-code-review-delegate" agent skill from https://github.com/alibaba/open-code-review/tree/main/skills/open-code-review-delegate. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: 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. Use when the host agent should drive the review with its own LLM capabilities. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"alibaba-open-code-review-delegate","task":"Install open-code-review-delegate","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.

Profil aset

Agent pemrograman dan pengembangan

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Lihat kategori

Skenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Kecocokan Agent

Claude Code + CLI + Codex

Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.

Pasang

Siap

npx skills add alibaba/open-code-review --skill open-code-review-delegate

Pemeliharaan

Terkini

Diperbarui hari ini

Risiko

Perlu ditinjau

Dependency or permission surface needs review

Kualitas GitHub

21K

91/100 Kualitas · 75/100 Kepercayaan

Tag cakupan

CodingGitHub automationAgent pemrogramanagent-skill

Catatan ulasan

Dependency or permission surface needs review · Permission surface may require sandboxing

Kartu adopsi Agent

Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat

Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.

Kualitas

Sangat baik
91

High-confidence pick with strong adoption and healthy maintenance signals.

Kepercayaan

Hanya sandbox
67

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

Audit

Perlu ditinjau
85

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Trust Score OpenAgentSkill v5

Tinjauan manusia sebelum pemasangan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

CodexClaude CodeCursorOpenAgentSkill CLI

Star

21K star GitHub

Aktivitas repositori

21K star dan 1.6K fork

Pemeliharaan

Diperbarui hari ini

Lisensi

Apache-2.0

Pasang

npx skills add alibaba/open-code-review --skill open-code-review-delegate

Keamanan pemasangan

Jalur pemasangan paket atau runtime standar

Cakupan izin

shell or command execution, filesystem or document access

Hasil Agent

Belum ada data hasil Agent

Dokumentasi

Konteks README/SKILL.md kuat

Ringkasan risiko

Tinjau sebelum produksi

  • The SKILL.md excerpt is truncated at the end, but the provided content is clear and complete for the described workflow.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Dependency/runtime risk: command execution surface, external package install surface

Kesiapan pemasangan

Jalur pemasangan tersedia

  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Lisensi dinyatakan
  • Belum ada bukti hasil Agent-Proven

Metadata yang dapat dibaca Agent

Data keputusan yang dapat dibaca mesin untuk skill ini.

Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.

View technical data+

Tugas yang sesuai

  • alur kerja GitHub automation
  • Tim Claude Code
  • Tim yang menghargai sinyal adopsi GitHub
  • Inspect repository metadata

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLICLI

Keputusan pemasangan

Perintah
npx skills add alibaba/open-code-review --skill open-code-review-delegate
Kebijakan
Tinjau
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
67/100
Audit
85/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

Endpoint
/api/agent/outcome
ID event
resolve
Hasil
5

Perintah pemasangan

npx skills add alibaba/open-code-review --skill open-code-review-delegate

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • production agents without a repository review
  • The SKILL.md excerpt is truncated at the end, but the provided content is clear and complete for the described workflow.
  • No OpenAgentSkill engagement data yet
  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah

Keamanan Agent v2

57/100 · Tinjau sebelum memasang

EksperimentalTinjau

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

Selesaikan via API

Tinggi

Eksekusi shell atau perintah

Metadata skill merujuk terminal, CLI, shell, subprocess, atau alur kerja eksekusi perintah.

Sedang

Akses jaringan

Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.

Sedang

Akses sistem file

Skill dapat membaca atau menulis file proyek, dokumen, artefak yang dihasilkan, atau status workspace lokal.

  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah
  • Dependency or permission surface needs review

Rencana resolusi Agent

Biarkan Agent memverifikasi kecocokan sebelum memasang.

API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.

Buka rencana teks

Agent harus memeriksa

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Salin prompt

Task: Use open-code-review-delegate in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20open-code-review-delegate%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/alibaba-open-code-review-delegate/install
Install command: npx skills add alibaba/open-code-review --skill open-code-review-delegate
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Serah-terima Agent

Berikan jalur pemasangan kepada Agent, bukan direktori lain.

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

Buka API pemasangan

Prompt Agent

Use open-code-review-delegate for this task. Review https://www.openagentskill.com/api/skills/alibaba-open-code-review-delegate/install, then install with: npx skills add alibaba/open-code-review --skill open-code-review-delegate

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

100/100

GitHub automation

Platform

Claude Code

Laporan audit

Perlu ditinjau · 85/100

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Pilihan utama untuk GitHub automation

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Kesiapan
Adopsi
Tahap

Peran di stack

Pilihan utama

Kecocokan utama

GitHub automation

Label kepercayaan

Siap produksi

Jalur pemasangan

Perintah siap

Gunakan saat

  • alur kerja GitHub automation
  • Tim Claude Code
  • Tim yang menghargai sinyal adopsi GitHub

Bukti

  • 21,306 star GitHub
  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 91/100

tinjau dulu

  • The SKILL.md excerpt is truncated at the end, but the provided content is clear and complete for the described workflow.
  • No OpenAgentSkill engagement data yet

Jalur implementasi

  1. 1Pasang di Agent sandbox dan jalankan satu tugas GitHub automation dari awal hingga akhir.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Profil kepercayaan

Hanya sandbox

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

67
Trust Score OpenAgentSkill

Adopsi GitHub

Lulus

21K star GitHub

Aktivitas star/fork

Lulus

21K star dan 1.6K fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

Diperbarui hari ini

Kejelasan lisensi

Lulus

Apache-2.0

Sinyal positif

  • Tinjauan AI disetujui
  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Repositori yang baru dipelihara
  • Large GitHub adoption signal
  • Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
  • Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama

Tinjau sebelum memasang

  • The SKILL.md excerpt is truncated at the end, but the provided content is clear and complete for the described workflow.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Dependency/runtime risk: command execution surface, external package install surface
  • Permission surface: shell or command execution, filesystem or document access
  • Belum ada laporan hasil Agent nyata
  • Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan

Tindakan yang disarankan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

Profil kualitas

Sangat baik kandidat untuk alur kerja Agent

High-confidence pick with strong adoption and healthy maintenance signals.

91
Star GitHub
21K
Keterkinian
Hari ini
Siap dipasang
Ya
Lisensi
Apache-2.0
Tinjau sebelum memasang: The SKILL.md excerpt is truncated at the end, but the provided content is clear and complete for the described workflow.

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

Ringkasan

--- name: open-code-review-delegate description: > 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. Use when the host agent should drive the review with its own LLM capabilities. license: Apache-2.0 compatibility: > Requires the `ocr` CLI installed (via `npm install -g @alibaba-group/open-code-review` or GitHub release binary). Does NOT require a configured LLM endpoint — delegation mode is LLM-free on the OCR side. metadata: author: alibaba homepage: https://github.com/alibaba/open-code-review version: "1.0.0" ---

# Open Code Review — Delegation Mode

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.

## Prerequisites

```bash which ocr || echo "NOT INSTALLED" ```

If `ocr` is not installed:

```bash npm install -g @alibaba-group/open-code-review ```

No LLM configuration is needed for delegation mode.

## Workflow

### Step 1: Preview — Determine What to Review

```bash ocr delegate preview --format json [--from <ref> --to <ref>] [--commit <hash>] [--exclude <patterns>] ```

This outputs: - **mode** (workspace / range / commit) - **from / to / commit / merge_base** — ref metadata for constructing git commands - **Reviewable file list** — paths, status, insertions/deletions - **Excluded files** — with exclusion reason

**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` |

### Step 2: Get Rules for Files

```bash 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.

### Step 3: Get Diffs

Use git directly based on the mode/ref info from Step 1:

**Range mode** (merge_base provided in preview output): ```bash git diff <merge_base>..<to> -- <path> ```

**Commit mode**: ```bash git show <commit> -- <path> ```

**Workspace mode**: ```bash # Tracked files git diff HEAD -- <path> # New untracked files — read directly (entire file is new code) cat <path> ```

### Step 4: Review Each File

Create a checklist containing every `reviewable_files` entry. For each reviewable file:

Use `(path, status)` as the checklist identity. Workspace mode can report the same path twice when a staged deletion is followed by an untracked recreation.

1. Get its diff (Step 3) 2. Consult its Rule Group (from Step 2) for the review checklist 3. Conduct a thorough review, using appropriate context tools as needed 4. Mark the file `reviewed`, or `skipped` with a concrete reason

For large changes, review in bounded batches grouped by shared rules and diff size. Do not stop after finding the first high-severity issue.

### Step 5: Format Output

Each comment must follow this structure:

| Field | Type | Required | Description | |-------|------|----------|-------------| | path | string | yes | Relative file path | | content | string | yes | Review comment describing the issue | | start_line | integer | no | Start line in the new file | | end_line | integer | no | End line in the new file | | category | enum | no | bug, security, performance, maintainability, test, style, documentation, other | | severity | enum | no | critical, high, medium, low |

### Step 6: Classify and Report

Before reporting, verify that every previewed file is accounted for. Include `total_files`, `reviewed_files`, `skipped_files`, and `coverage_rate` in the summary. A skipped file must include its reason.

Group findings by severity:

- **Critical/High**: Bugs, security issues, data loss risks — always report - **Medium**: Performance concerns, error handling gaps, maintainability issues — report with context - **Low**: Style nits, minor suggestions — report only if clearly valuable

Discard likely false positives silently.

### Step 7: Fix (Optional)

If the user requested "review and fix": - Apply High/Critical fixes directly - Describe Medium fixes that require manual intervention - Skip Low-priority items unless trivial

## Sub-commands Reference

| Command | Purpose | |---------|---------| | `ocr delegate preview` | Which files to review + mode/ref metadata | | `ocr delegate rule <path...>` | Review rules grouped by content |

## Shared Flags

| Flag | Description | |------|-------------| | `--from <ref>` | Source ref for range mode | | `--to <ref>` | Target ref for range mode | | `-c, --commit <hash>` | Single commit mode | | `--repo <path>` | Repository root (default: cwd) | | `--rule <path>` | Custom rule.json path | | `--exclude <patterns>` | Comma-separated exclude patterns | | `-b, --background <text>` | Business context | | `-B, --background-file <path>` | Business context from Markdown file (takes precedence over `-b`) | | `-f, --format <text\|json>` | Output format; use `json` for agent integrations |

## Gotchas

- **No LLM needed on OCR side** — delegation mode never calls an LLM. All intelligence comes from the host agent. - **Rules are grouped** — Files sharing the same rule are grouped together in the output. You can pass any number of paths per call; for large changes, fetch rules per-batch as you review. - **Working directory matters** — `ocr delegate` operates on the Git repo at the current directory. Use `--repo /path` to override. - **Untracked files in workspace mode** — `preview` includes untracked files. For these, read the file directly instead of using `git diff`. - **Background context** — pass `--background` to `preview` when you have requirement context; it appears in the output for your reference during review. - **Coverage is mandatory** — every `reviewable_files` entry must end as reviewed or explicitly skipped; do not silently omit files.

Detail teknis

Versi
1.0.0
Lisensi
Apache-2.0
Pembaruan terakhir
24 Agu 2026
Diterbitkan
24 Agu 2026

Ringkasan keputusan

Pilihan utama

100
Siap
Adopsi
Tahap

21,306 star GitHub

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

85
Perlu ditinjau
Keamanan
75/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
Tingkat sukses
Kegagalan terbaru
Hasil
0
Kualitas output
Gagal
0
Tidak relevan
0
Pemasangan
0
Diblokir risiko
0
Perlu penyiapan
0
Produksi
0

Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.

Pasang

Tambahkan ke alur Agent

Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.

Siklus pertumbuhan

Kit berbagi

X

Draf berbasis skenario untuk open-code-review-delegate, siap untuk posting manual di X.

Catatan kurator
open-code-review-delegate: Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skil...

21.3K stars

https://www.openagentskill.com/skills/alibaba-open-code-review-delegate?ref=x
Buka draf X
Balasan opsional dengan perintah pemasangan
Listing + install path for open-code-review-delegate:
https://www.openagentskill.com/skills/alibaba-open-code-review-delegate?ref=x

Install: npx skills add alibaba/open-code-review --skill open-code-review-delegate
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator
alibaba
Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan alibaba, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/alibaba-open-code-review-delegate?metric=listed&label=Listed)](https://www.openagentskill.com/skills/alibaba-open-code-review-delegate)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/alibaba-open-code-review-delegate?metric=trust&label=Trust)](https://www.openagentskill.com/skills/alibaba-open-code-review-delegate)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/alibaba-open-code-review-delegate?metric=audit&label=Audit)](https://www.openagentskill.com/skills/alibaba-open-code-review-delegate/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/alibaba-open-code-review-delegate?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/alibaba-open-code-review-delegate)

Penulis

A

alibaba

@alibaba

Kecocokan platform

Sinyal kesehatan

Star GitHub
21.3K
Skor kualitas
54/100
Push GitHub terakhir
24 Agu 2026
Petunjuk framework
Tidak diketahui
Tampilan OpenAgentSkill
0
Salinan pemasangan
0
Klik keluar
0

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Kepercayaan & keamanan

Hanya sandbox

67
  • Adopsi GitHub21K star GitHubLulus
  • Aktivitas star/fork21K star dan 1.6K fork; aktivitas issue tidak tersedia dalam metadata saat iniLulus
  • Pemeliharaan terbaruDiperbarui hari iniLulus
  • Kejelasan lisensiApache-2.0Lulus
  • Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
  • Risiko dependensi/runtimecommand execution surface, external package install surfacePeriksa