@aktsmm

Kreator · aktsmm

Pembaruan terakhir · 24 Agu 2026

agentic-workflow-guide

Tinjau · 63Diindeks di Registry

Design, review, and debug agent workflows, and decide when a request should use a prompt, instruction, skill, agent, or hook before escalating to multi-agent design. Use for .agent.md / .instructions.md / .prompt.md / AGENTS.md work, workflow architecture, orchestration planning,

Trust Score OpenAgentSkill
63/100

Hanya sandbox

Kualitas61/100
Audit76/100
Star25
Verified installs0

Target pemasangan

Prompt pemasangan Codex

Install the "agentic-workflow-guide" agent skill from https://github.com/aktsmm/Agent-Skills/tree/master/agentic-workflow-guide. 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: Design, review, and debug agent workflows, and decide when a request should use a prompt, instruction, skill, agent, or hook before escalating to multi-agent design. Use for .agent.md / .instructions.md / .prompt.md / AGENTS.md work, workflow architecture, orchestration planning, or when agent workflows may be overkill. Triggers on 'agent workflow', 'create agent', 'ワークフロー設計', 'orchestrator'. 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":"aktsmm-agentic-workflow-guide","task":"Install agentic-workflow-guide","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 aktsmm/Agent-Skills --skill agentic-workflow-guide

Pemeliharaan

Terkini

Diperbarui hari ini

Risiko

Perlu ditinjau

Financial research output is not financial advice; require human review before any live investment decision

Kualitas GitHub

25

61/100 Kualitas · 71/100 Kepercayaan

Tag cakupan

CodingGitHub automationDesain dan kreatifagent-skill

Catatan ulasan

Financial research output is not financial advice; require human review before any live investment decision · The LICENSE.txt includes an additional AI/ML training restriction beyond the standard CC BY-NC-SA 4.0 terms. This is not a blocker but should be noted for clarity.

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
61

Useful candidate, but compare it with alternatives before adopting.

Kepercayaan

Hanya sandbox
63

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

Audit

Perlu ditinjau
76

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

25 star GitHub

Aktivitas repositori

25 star dan 4 fork

Pemeliharaan

Diperbarui hari ini

Lisensi

CC BY-NC-SA 4.0

Pasang

npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide

Keamanan pemasangan

Jalur pemasangan paket atau runtime standar

Cakupan izin

filesystem or document access, network or browser access

Hasil Agent

Belum ada data hasil Agent

Dokumentasi

Konteks README/SKILL.md kuat

Ringkasan risiko

Tinjau sebelum produksi

  • The LICENSE.txt includes an additional AI/ML training restriction beyond the standard CC BY-NC-SA 4.0 terms. This is not a blocker but should be noted for clarity.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • License restricts commercial reuse
  • Low GitHub adoption signal

Kesiapan pemasangan

Jalur pemasangan tersedia

  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Lisensi memiliki pembatasan penggunaan komersial
  • 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 Local desktop
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Navigate local resources

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLICLI

Keputusan pemasangan

Perintah
npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide
Kebijakan
Tinjau
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
63/100
Audit
76/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

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

Perintah pemasangan

npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • production agents without a repository review
  • Low GitHub adoption signal
  • The LICENSE.txt includes an additional AI/ML training restriction beyond the standard CC BY-NC-SA 4.0 terms. This is not a blocker but should be noted for clarity.
  • No OpenAgentSkill engagement data yet

Keamanan Agent v2

60/100 · Tinjau sebelum memasang

Ditinjau dengan catatan izinTinjau

Kandidat yang dapat digunakan, tetapi Agent harus menampilkan catatan izin dan audit sebelum memasang.

Memerlukan persetujuan manusia sebelum memasang ke workspace nyata.

Selesaikan via API

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.

  • Financial research output is not financial advice; require human review before any live investment decision

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 agentic-workflow-guide in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20agentic-workflow-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/aktsmm-agentic-workflow-guide/install
Install command: npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide
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 agentic-workflow-guide for this task. Review https://www.openagentskill.com/api/skills/aktsmm-agentic-workflow-guide/install, then install with: npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide

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

60/100

Local desktop

Platform

Claude Code

Laporan audit

Perlu ditinjau · 76/100

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 Local desktop

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

60
Kesiapan
Prototipe
Tahap

Peran di stack

Kandidat cadangan

Kecocokan utama

Local desktop

Label kepercayaan

Buat prototipe dulu

Jalur pemasangan

Perintah siap

Gunakan saat

  • alur kerja Local desktop
  • Tim Claude Code
  • builders willing to evaluate younger projects

Bukti

  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 61/100

tinjau dulu

  • Low GitHub adoption signal
  • The LICENSE.txt includes an additional AI/ML training restriction beyond the standard CC BY-NC-SA 4.0 terms. This is not a blocker but should be noted for clarity.
  • No OpenAgentSkill engagement data yet

Jalur implementasi

  1. 1Pasang di Agent sandbox dan jalankan satu tugas Local desktop 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.

63
Trust Score OpenAgentSkill

Adopsi GitHub

Periksa

25 star GitHub

Aktivitas star/fork

Periksa

25 star dan 4 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

Diperbarui hari ini

Kejelasan lisensi

Periksa

CC BY-NC-SA 4.0 - confirm commercial-use terms

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

  • The LICENSE.txt includes an additional AI/ML training restriction beyond the standard CC BY-NC-SA 4.0 terms. This is not a blocker but should be noted for clarity.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • License restricts commercial reuse
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 25 GitHub stars
  • Stars/forks activity: 25 stars, 4 forks; issue activity unavailable in current metadata
  • License clarity: CC BY-NC-SA 4.0 - confirm commercial-use terms
  • 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.

61
Star GitHub
25
Keterkinian
Hari ini
Siap dipasang
Ya
Lisensi
CC BY-NC-SA 4.0
Tinjau sebelum memasang: Low GitHub adoption signal · The LICENSE.txt includes an additional AI/ML training restriction beyond the standard CC BY-NC-SA 4.0 terms. This is not a blocker but should be noted for clarity.

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: agentic-workflow-guide description: "Design, review, and debug agent workflows, and decide when a request should use a prompt, instruction, skill, agent, or hook before escalating to multi-agent design. Use for .agent.md / .instructions.md / .prompt.md / AGENTS.md work, workflow architecture, orchestration planning, or when agent workflows may be overkill. Triggers on 'agent workflow', 'create agent', 'ワークフロー設計', 'orchestrator'." argument-hint: "作りたい .agent.md / .instructions.md / .prompt.md / AGENTS.md、設計したい workflow、または困っている症状" user-invocable: true license: CC BY-NC-SA 4.0 metadata: author: yamapan (https://github.com/aktsmm) ---

# Agentic Workflow Guide

Design, review, and improve agent workflows based on proven principles.

この SKILL の基本姿勢は、**agent を増やすことではなく、必要最小の primitive で解くこと**。 context が膨らんだときも、まずは split / compact / reference 化を考え、いきなり multi-agent にしない。

## Primitive First

Do not start with multi-agent by default.

- Single focused slash task -> **Prompt** - Always-on or file-scoped guidance -> **Instruction** - Reusable workflow with bundled assets -> **Skill** - Persona, tool restrictions, delegation, or handoffs -> **Agent** - Deterministic enforcement -> **Hook**

If the ask does not require an **Agent**, stop and use the simpler primitive.

> この primitive 選択表が SSOT。skill-creator-plus / skill-finder などの判定表は「そのスキルを使うべきか」の即時ゲートとして扱い、基準がずれたらここに合わせる。

Selection details: [references/customization-decision.md](references/customization-decision.md)

## When to Use

| Action | Triggers | | ---------- | ----------------------------------------------------------------------------- | | **Create** | New `.agent.md`, `.instructions.md`, `.prompt.md`, `AGENTS.md`, or workflow architecture | | **Review** | Orchestrator not delegating, design principle check, context overflow | | **Update** | Adding Handoffs, improving delegation, tool configuration | | **Debug** | Agent not found, subagent not working, picker visibility, access control | | **Decide** | Determining whether multi-agent is justified or a simpler primitive is enough |

## Core Principles

- **Simplicity First**: より単純な primitive で解けるなら agent 化しない - **SSOT / SRP**: 情報源と責務の分割を守る - **Fail Fast**: エラーは早く止める - **Feedback Loop**: 各段で検証できるようにする - **Context Discipline**: context が膨らんだら compact / split / retrieve を検討する

Principle details: [references/design-principles.md](references/design-principles.md)

## Pattern Selection

- **Prompt Chaining**: 順序のある段階処理 - **Routing**: 入力タイプで分岐する処理 - **Parallelization**: 独立タスクを並列で進める処理 - **Orchestrator-Workers**: 動的に subtasks を分解する処理 - **Evaluator-Optimizer**: 品質基準を満たすまで反復する処理

Every loop needs explicit stop conditions.

Pattern details: [references/workflow-patterns/overview.md](references/workflow-patterns/overview.md)

## Design Workflow

1. **Extract from conversation** Repeated behavior, tool preferences, workflow shape, and obvious specialization を先に拾う。 2. **Choose primitive + scope** Prompt / instruction / skill / agent / hook と workspace / profile を決める。 3. **Clarify only the gaps** 挙動を変える曖昧さだけ聞く。 4. **Check escalation** agent や multi-agent が本当に必要か確認する。 5. **Choose pattern** complexity が上がるなら pattern を明示して設計する。 6. **Review before expanding** split / compact / reference 化で済まないかを見る。 7. **Implement and iterate** 最初から完成形を狙わず、弱い箇所を見つけて詰める。

## Rule Placement

- 汎用的な workflow 設計原則は、この SKILL と `references/` を SSOT にする。 - repo local の `.instructions.md` には workspace 固有の差分だけを残す。差分が無い generic instruction は merge back して削除候補にする。 - IR は原則 in-memory で扱う。validator、script、deterministic handoff が必要な場合だけ中間 file を materialize し、不要になったら片付ける。 - scheduler / service / config など決定論的な state mutation は、AI/UI loop ではなく direct script / API で現状確認 -> 最小変更 -> live read-back まで行う。LLM は scope と整合対象の判断に限定する。

## Escalation Rules

- **L0**: Single Prompt - **L1**: Prompt + Instructions - **L2**: Single Agent - **L3**: Multi-Agent

Prefer the lowest level that solves the problem cleanly.

Quick signals:

- Prompt > 50 lines - Steps > 5 - "missed" / "overlooked" errorsが続く - Multiple responsibilities in one agent - Context > 70%

Threshold details: [references/splitting-criteria.md](references/splitting-criteria.md)

## Entry Boundary Smells

### Instruction Elevation Smell

always-loaded entry において、強い命令語が直下の catalog、reference list、workflow map、rule inventory を会話の優先レイヤーへ昇格させる状態。

### Always-Loaded Entry Budget

always-loaded entry は会話境界と最小 guardrail のみを持つ。catalog、詳細手順、広い参照一覧は docs、README、task-specific assets へ退避する。

### Runtime Boundary Rule

Review assets improve design quality and detect structural problems. Default conversational behavior is controlled by always-loaded entries.

### Casual Input Safety Check

Lightweight inputs such as greetings, short Q&A, and numeric-only replies should not be force-routed into task intake unless the task context is explicit.

## Review Gates

- [ ] Primitive choice is simpler than agent if possible - [ ] Placement is appropriate and always-loaded entry files stay thin - [ ] New additions are proposed only after delete / merge / split / move options are checked - [ ] Single responsibility per agent is preserved - [ ] Errors can be detected and stopped early - [ ] Results are verifiable at each step - [ ] Deterministic parts are offloaded to scripts / IR / hooks, and state changes are confirmed by reading authoritative live state back (not LLM/UI loops)

Full checklist: [references/review-checklist.md](references/review-checklist.md)

## Reference Map

Core references: [primitive decision](references/customization-decision.md), [design principles](references/design-principles.md), [workflow patterns](references/workflow-patterns/overview.md), [splitting criteria](references/splitting-criteria.md), [review checklist](references/review-checklist.md), and [context management](references/context-engineering.md).

For scheduled workflows, use [scheduled runtime bindings](references/scheduled-runtime-bindings.md). For delegated evidence and append-only current-state extraction, see [orchestrator-workers](references/workflow-patterns/4-orchestrator-workers.md) and [IR architecture](references/workflow-patterns/ir-architecture.md).

## agent Quick Fix

When an orchestrator promises delegation but works directly, make the delegation requirement explicit and verifiable. See [agent-guide.md](references/agent-guide.md).

## Tools Reference

Use [references/agent-template.md](references/agent-template.md) for tool mapping and stable agent scaffold details.

## Done Criteria

- [ ] Primitive and scope selected intentionally - [ ] Workflow pattern selected and confirmed with user - [ ] New or updated assets have clear Role/Workflow/Done Criteria where applicable - [ ] Design principles checklist passed - [ ] Recommendations are classified as delete / merge / split / move / add / keep where applicable - [ ] Always-on instruction boundaries and DRY / SSOT risks are explicitly reviewed when `copilot-instructions.md` or `AGENTS.md` are in scope - [ ] New agent / workflow assets are registered in the appropriate catalog or docs when needed - [ ] `AGENTS.md` is updated only when shared guardrails or entry behavior need to change - [ ] Long-running or ad-hoc terminals/tasks started during the workflow are closed, or remaining terminals are explicitly reported with a reason - [ ] Async operations are verified by live state before being called complete; if blocked by retention/locks/background platform work, the blocker and next check condition are explicit

Detail teknis

Versi
1.0.0
Lisensi
CC BY-NC-SA 4.0
Pembaruan terakhir
24 Agu 2026
Diterbitkan
24 Agu 2026

Ringkasan keputusan

Kandidat cadangan

60
Siap
Prototipe
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

76
Perlu ditinjau
Keamanan
78/100
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 agentic-workflow-guide, siap untuk posting manual di X.

Catatan kurator
agentic-workflow-guide: Design, review, and debug agent workflows, and decide when a request should use a prompt, ins...

25 stars

https://www.openagentskill.com/skills/aktsmm-agentic-workflow-guide?ref=x
Buka draf X
Balasan opsional dengan perintah pemasangan
Listing + install path for agentic-workflow-guide:
https://www.openagentskill.com/skills/aktsmm-agentic-workflow-guide?ref=x

Install: npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

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

Kreator
aktsmm
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 aktsmm, 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/aktsmm-agentic-workflow-guide?metric=listed&label=Listed)](https://www.openagentskill.com/skills/aktsmm-agentic-workflow-guide)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/aktsmm-agentic-workflow-guide?metric=trust&label=Trust)](https://www.openagentskill.com/skills/aktsmm-agentic-workflow-guide)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/aktsmm-agentic-workflow-guide?metric=audit&label=Audit)](https://www.openagentskill.com/skills/aktsmm-agentic-workflow-guide/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/aktsmm-agentic-workflow-guide?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/aktsmm-agentic-workflow-guide)

Penulis

A

aktsmm

@aktsmm

Kecocokan platform

Sinyal kesehatan

Star GitHub
25
Skor kualitas
33/100
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

63
  • Adopsi GitHub25 star GitHubPeriksa
  • Aktivitas star/fork25 star dan 4 fork; aktivitas issue tidak tersedia dalam metadata saat iniPeriksa
  • Pemeliharaan terbaruDiperbarui hari iniLulus
  • Kejelasan lisensiCC BY-NC-SA 4.0 - confirm commercial-use termsPeriksa
  • Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
  • Risiko dependensi/runtimenetwork or browser surfaceLulus