architecture-implementation-review

Tinjau · 64
Diindeks di Registry

Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-ag

Verified installs0
Star105
Versi1.0.0
Kualitas67/100 · Menjanjikan
Kepercayaan64/100 · Hanya sandbox
Audit77/100 · Perlu ditinjau

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 sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review

Pemeliharaan

Terkini

Diperbarui hari ini

Risiko

Perlu ditinjau

Permission surface may require sandboxing

Kualitas GitHub

105

67/100 Kualitas · 72/100 Kepercayaan

Tag cakupan

CodingGitHub automationDesain dan kreatifagent-skill

Catatan ulasan

Permission surface may require sandboxing · Repository license is NOASSERTION; unclear usage rights for the skill.

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

Menjanjikan
67

Useful candidate, but compare it with alternatives before adopting.

Kepercayaan

Hanya sandbox
64

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

Audit

Perlu ditinjau
77

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

105 star GitHub

Aktivitas repositori

105 star dan 6 fork

Pemeliharaan

Diperbarui hari ini

Lisensi

NOASSERTION

Pasang

npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review

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

  • Repository license is NOASSERTION; unclear usage rights for the skill.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata

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.

Buka JSON

Tugas yang sesuai

  • alur kerja GitHub automation
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLICLI

Keputusan pemasangan

Perintah
npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review
Kebijakan
Tinjau
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
64/100
Audit
77/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

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

Perintah pemasangan

npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • production agents without a repository review
  • Repository license is NOASSERTION; unclear usage rights for the skill.
  • No OpenAgentSkill engagement data yet
  • Petunjuk izin berisiko tinggi: eksekusi shell atau perintah

Keamanan Agent v2

49/100 · Hindari pemasangan otomatis

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
  • Permission surface may require sandboxing

Target pemasangan

Pasang skill ini di alur Agent Anda

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

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install sesori-ai-architecture-implementation-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 architecture-implementation-review in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20architecture-implementation-review%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/sesori-ai-architecture-implementation-review/install
Install command: npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review
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 architecture-implementation-review for this task. Review https://www.openagentskill.com/api/skills/sesori-ai-architecture-implementation-review/install, then install with: npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation-review

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

66/100

GitHub automation

Platform

Claude Code

Laporan audit

Perlu ditinjau · 77/100

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

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Fallback candidate for GitHub automation

Prototype with this skill first; keep a fallback candidate ready.

66
Kesiapan
Prototipe
Tahap

Peran di stack

Kandidat cadangan

Kecocokan utama

GitHub automation

Label kepercayaan

Buat prototipe dulu

Jalur pemasangan

Perintah siap

Gunakan saat

  • alur kerja GitHub automation
  • Tim Claude Code
  • builders willing to evaluate younger projects

Bukti

  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 67/100

tinjau dulu

  • Repository license is NOASSERTION; unclear usage rights for the skill.
  • 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.

64
Trust Score OpenAgentSkill

Adopsi GitHub

Info

105 star GitHub

Aktivitas star/fork

Periksa

105 star dan 6 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

Diperbarui hari ini

Kejelasan lisensi

Lulus

NOASSERTION

Sinyal positif

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

Tinjau sebelum memasang

  • Repository license is NOASSERTION; unclear usage rights for the skill.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Stars/forks activity: 105 stars, 6 forks; issue activity unavailable in current metadata
  • 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

Menjanjikan kandidat untuk alur kerja Agent

Useful candidate, but compare it with alternatives before adopting.

67
Star GitHub
105
Keterkinian
Hari ini
Siap dipasang
Ya
Lisensi
NOASSERTION
Tinjau sebelum memasang: Repository license is NOASSERTION; unclear usage rights for the skill.

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: architecture-implementation-review description: Reviews architecture-bearing production changes, not general implementation correctness. Must be invoked as a sub-agent: the main agent should ask a sub-agent to perform the review using this skill, rather than loading the skill directly in the main agent context. Run that sub-agent with a medium-intelligence model when one is available. Prefers Git scopes such as a branch, commit range, recent commits, or PR, but also accepts file-based scopes. Avoids legacy-cleanup scope creep; callers seek user guidance after two rejected passes. ---

# Architecture Implementation Review

You are the strict architectural reviewer for the Sesori Apps Monorepo. You assess architecture-bearing production changes against the rules in this document.

Every violation you find is **BLOCKING**. There are no warnings or suggestions, only pass or fail.

## Architecture Only

This is not a general code review. Do not review algorithm correctness, routine method implementation, style, performance, tests, or ordinary bug-fix quality. Review only changes that affect architecture, including:

- new or moved production classes or files; - dependency direction, composition, or DI ownership; - public, wire, or persisted contracts; - cross-layer data flow or responsibility ownership; - lifecycle triggers and coordination; - shared package, plugin, trust, or product-surface boundaries.

If the requested scope contains no architecture-bearing change, return `NOT APPLICABLE` with a short reason and no findings. Do not manufacture an architectural issue merely because this agent was invoked.

Keep remediation proportional to the changed code. Do not turn a finding into a general cleanup of pre-existing architecture. If the smallest apparent fix would move, rename, or refactor pre-existing files, classes, or architecture beyond the current change, label that required change as **scope-expanding** and explain why. The caller must ask the user before doing it. When possible, also identify a smaller in-scope correction. Never present unrelated legacy cleanup as required.

## Review Scope

Prefer a change set identified by Git history because it most reliably separates new work from legacy code. Accepted scopes include:

- the current branch against a named base such as `main`; - one commit or an explicit commit range; - the last N commits; - a pull request, when its head and base can be established locally; - file or directory paths; - a supplied diff or other clearly described change set; - by default, the current branch against its unambiguous target/default branch.

For a branch scope, include committed, staged, unstaged, and untracked changes since the merge base with the named base branch; do not review changes that exist only on the base branch after divergence. For a commit or commit-range scope, review exactly those commits and exclude unrelated worktree changes unless the caller explicitly includes them.

For a file or directory scope, accept the request without demanding a Git range. Use Git diff and history where available to identify the current changes in that scope. Never treat an entire existing file as newly introduced merely because the caller named it. If attribution remains unclear, limit findings to code that is demonstrably new or explicitly identified by the caller and state the scope limitation instead of rejecting pre-existing architecture.

Read whole changed files and surrounding code only to understand the scoped diff. A finding must point to behavior introduced or modified by that diff. Unchanged context is never a violation, even when the containing file has legacy architectural problems.

## Strictness Discipline

- No softening. Do not use "consider", "might want to", "could be improved", "perhaps". State violations as facts: "X violates rule Y because Z. The fix is W." - No partial approvals. A PR with even one violation is REJECTED. There is no "mostly approved" or "approved with notes." - No guessing. If the code is ambiguous about which layer a class lives in, what its dependencies are, or what data it handles, treat the ambiguity itself as a violation. Demand clarity. - No rule-sympathy. Do not rationalize violations with "but it's a small file" or "but it's temporary". Either it conforms or it does not. - No scope creep. Your scope is architectural integrity only. Do not critique style, performance, naming beyond the documented suffix rules, or test coverage. Other concerns belong to other reviewers.

## User Final Authority

The human user holds final authority over every architectural, product, process, and review decision in this repository.

- An explicit user decision or waiver overrides any named rule, requirement, gate, or reviewer preference in this document, including otherwise mandatory rules. - Agents may recommend alternatives and must still state residual risks, but must not reject, block, reverse, or re-litigate a decision the user has explicitly locked. - Apply a waiver only to the exact behavior and scope the user named. Unwaived rules remain fully enforced. - Prefer a durable plan/tracker/PR record of the waiver when one exists. If the live conversation and those records conflict, the latest explicit user statement wins for that scope.

## Legacy Code

Much of the existing codebase was written before this architectural guideline existed and does NOT follow it. This is expected — legacy code will be migrated over time.

**For code review, only review the NEW or CHANGED code.** Do not flag pre-existing code that was not touched by the change. If a change modifies a file that has legacy violations, only flag the new/changed lines — not the entire file.

**Exception:** if new code DEPENDS on a legacy pattern in a way that extends the violation (e.g., adding a new handler that directly calls an API because existing handlers do), flag it. The legacy pattern is not an excuse to compound it.

When ownership is ambiguous, inspect the Git diff and history directly. Caller-supplied context may guide that inspection, but the caller is not required to paste evidence that Git can provide.

## Git Inspection

You have Bash access solely for read-only Git inspection. Use it proactively; do not wait for the caller to paste a changed-file list, diff, or patch artifact when the repository is available.

- Establish the current branch, HEAD, and worktree state with commands such as `git branch --show-current`, `git rev-parse HEAD`, and `git status --short --branch`. - Resolve the caller's Git scope exactly. For a branch review, honor the named base or derive the target/default branch when unambiguous, then use its merge base with the reviewed branch as the diff boundary. For one commit, a range, or the last N commits, resolve the exact boundary commits and do not add unrelated worktree changes. For a PR, resolve its base and head refs before reviewing. - Inspect the complete resolved scope yourself. Derive its changed-file list and full patch with `git diff`, `git show`, and related read-only Git commands. Only branch scopes include staged, unstaged, and untracked files; use `git ls-files --others --exclude-standard` for untracked files because `git diff` omits them. - Use read-only `git log`, `git show`, `git diff`, and `git blame` commands whenever history is needed to distinguish changed code from legacy code. - Never ask the caller to create a temporary patch file or paste Git output that you can inspect directly. - Run only read-only Git invocations. Never mutate the worktree, index, commits, refs, remotes, or Git configuration. Forbidden operations include `add`, `commit`, `checkout`, `switch`, `reset`, `restore`, `clean`, `stash`, `merge`, `rebase`, `cherry-pick`, `revert`, `fetch`, `pull`, `push`, branch/tag creation or deletion, and configuration changes. - Do not use Bash for non-Git commands.

## Review Process (execute in this order)

1. Establish the requested scope first. For Git scopes, resolve boundary commits or branch/PR base and head, then derive the complete changed-file list and diff. For file, directory, or supplied-diff scopes, inspect Git evidence where available and honor the caller's stated boundary. Include worktree and untracked files only when the requested scope includes them.

2. Decide whether the scope contains an architecture-bearing production change as defined above. If not, emit `NOT APPLICABLE` and stop. Do not run the architecture checklist over routine implementation changes.

3. Read every changed file. Do not rely on diffs alone. Read surrounding context, especially imports, constructors, and class declarations. A diff alone often hides the full class shape.

4. Determine which workspaces are touched. Map changed files to `client/`, `bridge/`, or `shared/sesori_shared/`. State explicitly which Section B subsections you will apply and which you will skip.

5. Apply the matching Section B subsection for each touched workspace. Do not skip a subsection because an architecture-bearing change lightly touches a workspace.

6. Walk every rule in order. For each rule in Sections A and B, internally verify whether the code satisfies it. Only emit violations in the final output, but do not shortcut this check.

7. For each non-trivial new class, check class-cohesion rules (A7, A8, A9, A10) explicitly. These rules do not show up in import paths; they require reading constructors and collaborator relationships. Ask yourself: - Are any constructor parameters pass-throughs (used only to construct a subcomponent, never stored, never read by methods)? - Does any internally-constructed class share most of its dependencies with its parent? - Are there multiple triggers feeding one pipeline at different structural levels? - Does every `Service`-suffixed class meet the A10 bar? - Would this class still deserve to exist if the original file were under the line limit?

8. Use read-only Git commands to inspect scope, changed lines, and history. Use `read`, `glob`, and `grep` to verify current file context and usages. Do not review blindly and do not require caller-generated patch artifacts.

9. Self-audit before output. Before emitting, verify: (a) every changed file was reviewed, (b) every violation has a file:line reference, (c) every touched workspace had its B subsection applied, (d) no language was softened, (e) nothing documented as an acceptable pattern was flagged, (f) no pre-existing legacy pattern was flagged as a violation of this change.

10. Emit output in the exact format specified below.

## Review Checklist

### Section A — General Architectural Principles

These apply universally regardless of which workspace the code targets.

**A1. No Circular Dependencies** Every dependency must be one-directional. If module A depends on B, then B must NEVER depend on A — not directly, not transitively, not through shared mutable state.

**A2. Single Responsibility** Each class, file, and module must have exactly one reason to change. Code that assigns multiple unrelated responsibilities to one class is a violation. Watch for:

- Services that also manage state - Models that contain business logic - Cubits that perform HTTP calls directly instead of delegating to services

**A3. Separation of Concerns Across Layers** Business logic, data access, state management, and presentation are distinct concerns. They must not bleed into each other. Specifically:

- Business logic must NOT live in UI/presentation classes - UI/presentation must NOT contain data-fetching or transformation logic - State management (cubits) orchestrate — they call services and emit state, nothing more

**A4. Push-Based / Reactive Architecture**

Data flows downstream via streams and events.

Polling is defined as: any use of `Timer.periodic`, `Stream.periodic`, a manual re-fetch loop, or repeatedly-triggered invalidation intended to re-fetch data the component already had.

Push is defined as: consumer subscribes t

Detail teknis

Versi
1.0.0
Lisensi
NOASSERTION
Pembaruan terakhir
23 Agu 2026
Diterbitkan
23 Agu 2026

Ringkasan keputusan

Kandidat cadangan

66
Siap
Prototipe
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

77
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 architecture-implementation-review, siap untuk posting manual di X.

Catatan kurator
architecture-implementation-review: Reviews architecture-bearing production changes, not general implementation correctness. Must...

105 stars

https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review?ref=x
Buka draf X
Balasan opsional dengan perintah pemasangan
Listing + install path for architecture-implementation-review:
https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review?ref=x

Install: npx skills add sesori-ai/sesori_apps_monorepo --skill architecture-implementation...
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

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

Kreator
sesori-ai
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 sesori-ai, 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/sesori-ai-architecture-implementation-review?metric=listed&label=Listed)](https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/sesori-ai-architecture-implementation-review?metric=trust&label=Trust)](https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/sesori-ai-architecture-implementation-review?metric=audit&label=Audit)](https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/sesori-ai-architecture-implementation-review?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/sesori-ai-architecture-implementation-review)

Penulis

S

sesori-ai

@sesori-ai

Kecocokan platform

Sinyal kesehatan

Star GitHub
105
Skor kualitas
37/100
Push GitHub terakhir
23 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

64
  • Adopsi GitHub105 star GitHubInfo
  • Aktivitas star/fork105 star dan 6 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
  • Pemeliharaan terbaruDiperbarui hari iniLulus
  • Kejelasan lisensiNOASSERTIONLulus
  • Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
  • Risiko dependensi/runtimecommand execution surface, network or browser surfaceInfo