Kreator · alibaba
Pembaruan terakhir · 24 Agu 2026
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. Use when the host agent should drive the re
Hanya sandbox
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.
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
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 baikHigh-confidence pick with strong adoption and healthy maintenance signals.
Kepercayaan
Hanya sandboxKandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.
Audit
Perlu ditinjauTinjauan 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.
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+
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.
Tugas yang sesuai
- alur kerja GitHub automation
- Tim Claude Code
- Tim yang menghargai sinyal adopsi GitHub
- Inspect repository metadata
Agent yang sesuai
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-delegateJangan 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
Skill alternatif
Opencode
200.7K Star
npx skills add anomalyco/opencode
Skill alternatif
Code Review
168.6K Star
npx skills add mattpocock/skills --skill code-review
Skill alternatif
Grill With Docs
164.7K Star
npx skills add mattpocock/skills --skill grill-with-docs
Skill alternatif
To Spec
164.7K Star
npx skills add mattpocock/skills --skill to-spec
Keamanan Agent v2
57/100 · Tinjau sebelum memasang
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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 JSON
/api/agent/resolve?task=Use%20open-code-review-delegate%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20open-code-review-delegate%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/alibaba-open-code-review-delegate/install
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.
Serah-terima pemasangan
/api/skills/alibaba-open-code-review-delegate/install
Format teks LLM
/api/skills/alibaba-open-code-review-delegate/install?format=text
Cari alternatif
/api/skills/search?q=open-code-review-delegate&limit=3
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-delegateMetadata Registry
Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.
API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.
Manifest
/api/registry/manifest/alibaba-open-code-review-delegate
Teks LLM
/api/registry/manifest/alibaba-open-code-review-delegate?format=text
Alias pemasangan
/api/registry/install/alibaba-open-code-review-delegate
Rekomendasikan
/api/registry/recommend?task=Use%20open-code-review-delegate%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
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.
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.
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
- 1Pasang di Agent sandbox dan jalankan satu tugas GitHub automation dari awal hingga akhir.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 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.
Adopsi GitHub
Lulus21K star GitHub
Aktivitas star/fork
Lulus21K star dan 1.6K fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
LulusDiperbarui hari ini
Kejelasan lisensi
LulusApache-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.
Kecocokan alur kerja
Gunakan skill ini pada skenario berikut
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
Inspect, patch, and verify code
Coding review agent
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Daftar alternatif
Bandingkan sebelum memasang
Similar skills that may fit this task.
Opencode
The open source coding agent.
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
To Spec
Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
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
21,306 star GitHub
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 75/100
- Pemeliharaan
- 100/100
- Pasang
- 92/100
Bukti tervalidasi Agent
Bukti tervalidasi Agent
Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.
- 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
Draf berbasis skenario untuk open-code-review-delegate, siap untuk posting manual di X.
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
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
Sumber listing
Diindeks Registry
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- alibaba
- Sumber
- alibaba/open-code-review
- Diindeks oleh
- Indeks komunitas OpenAgentSkill
Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.
Klaim skill iniKlaim 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.
[](https://www.openagentskill.com/skills/alibaba-open-code-review-delegate)
[](https://www.openagentskill.com/skills/alibaba-open-code-review-delegate)
[](https://www.openagentskill.com/skills/alibaba-open-code-review-delegate/audit)
[](https://www.openagentskill.com/skills/alibaba-open-code-review-delegate)Penulis
alibaba
@alibaba
Tag
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
- 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
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Turn the current conversation and codebase context into a structured implementation spec, then publish it to the configured project issue tracker.
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