Dstack
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
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 + Cursor + CLI
Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.
Pasang
Siap
npx skills add dstackai/dstack
Pemeliharaan
Terkini
1 hari sejak push
Risiko
Perlu ditinjau
Dependency or permission surface needs review
Kualitas GitHub
2.2K
100/100 Kualitas · 83/100 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
2.2K star GitHub
Aktivitas repositori
2.2K star dan 250 fork
Pemeliharaan
1 hari sejak push
Lisensi
MPL-2.0
Pasang
npx skills add dstackai/dstack
Keamanan pemasangan
Jalur pemasangan paket atau runtime standar
Cakupan izin
secrets or environment access, shell or command execution
Hasil Agent
Belum ada data hasil Agent
Dokumentasi
Konteks README/SKILL.md kuat
Ringkasan risiko
Tinjau sebelum produksi
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
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.
Tugas yang sesuai
- alur kerja Local desktop
- Tim Claude Code
- Tim yang menghargai sinyal adopsi GitHub
- Navigate local resources
Agent yang sesuai
Keputusan pemasangan
- Perintah
- npx skills add dstackai/dstack
- Kebijakan
- Tinjau
- Tinjauan manusia
- Ya
Kepercayaan dan risiko
- Kepercayaan
- 75/100
- Audit
- 90/100
- Tingkat risiko
- Perlu ditinjau
Lingkar hasil
- Endpoint
- /api/agent/outcome
- ID event
- resolve
- Hasil
- 5
Perintah pemasangan
npx skills add dstackai/dstackJangan gunakan ketika
- Tim yang membutuhkan SLA dengan dukungan vendor
- Lingkungan berkompliansi tinggi tanpa tinjauan keamanan internal
- No major risk signals from current metadata
- Petunjuk izin berisiko tinggi: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Keamanan Agent v2
50/100 · Hindari pemasangan otomatis
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.
Tinggi
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- Petunjuk izin berisiko tinggi: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Target pemasangan
Pasang skill ini di alur Agent Anda
Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.
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 dstackai-dstackRencana 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%20Dstack%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Teks Resolve
/api/agent/resolve?task=Use%20Dstack%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Serah-terima pemasangan
/api/skills/dstackai-dstack/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 Dstack in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Dstack%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/dstackai-dstack/install
Install command: npx skills add dstackai/dstack
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/dstackai-dstack/install
Format teks LLM
/api/skills/dstackai-dstack/install?format=text
Cari alternatif
/api/skills/search?q=Dstack&limit=3
Prompt Agent
Use Dstack for this task. Review https://www.openagentskill.com/api/skills/dstackai-dstack/install, then install with: npx skills add dstackai/dstackMetadata 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/dstackai-dstack
Teks LLM
/api/registry/manifest/dstackai-dstack?format=text
Alias pemasangan
/api/registry/install/dstackai-dstack
Rekomendasikan
/api/registry/recommend?task=Use%20Dstack%20in%20an%20agent%20workflow&limit=3
Kecocokan Agent
Local desktop
Tag use case
Platform
Python, AI Agents, Claude Code, Cursor
Laporan audit
Perlu ditinjau · 90/100
Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.
Panel keputusan Agent
Pilihan utama untuk Local desktop
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
Local desktop
Label kepercayaan
Siap produksi
Jalur pemasangan
Perintah siap
Gunakan saat
- alur kerja Local desktop
- Tim Claude Code
- Tim yang menghargai sinyal adopsi GitHub
Bukti
- 2,216 star GitHub
- recent repository activity
- install command or GitHub repo available
- profil kualitas 100/100
- 19 event interaksi OpenAgentSkill
tinjau dulu
- No major risk signals from current metadata
Jalur implementasi
- 1Pasang di Agent sandbox dan jalankan satu tugas Local desktop 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
Lulus2.2K star GitHub
Aktivitas star/fork
Lulus2.2K star dan 250 fork; aktivitas issue tidak tersedia dalam metadata saat ini
Pemeliharaan terbaru
Lulus1 hari sejak push
Kejelasan lisensi
LulusMPL-2.0
Sinyal positif
- Listing yang diverifikasi manual
- Tinjauan AI disetujui
- Jalur pemasangan tersedia
- Bukti repositori tersedia
- Repositori yang baru dipelihara
- Sinyal adopsi GitHub yang bermakna
- Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
- Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama
Tinjau sebelum memasang
- Permission surface needs review: secrets or environment access, shell or command execution
- Dependency/runtime risk: command execution surface, credential or environment access
- Permission surface: secrets or environment access, shell or command execution
- 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
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Kecocokan alur kerja
Tambahkan ke alur kerja lengkap
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
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.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Daftar alternatif
Bandingkan sebelum memasang
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Ringkasan
--- name: dstack description: | dstack is an open-source control plane for GPU provisioning and orchestration across GPU clouds, Kubernetes, and on-prem clusters. ---
# dstack
## Overview
`dstack` provisions and orchestrates workloads across GPU clouds, Kubernetes, and on-prem via fleets.
**When to use this skill:** - Running or managing dev environments, tasks, or services on dstack - Creating, editing, or applying `*.dstack.yml` configurations - Managing fleets, volumes, gateways, and checking available offers
## How it works
`dstack` operates through three core components:
1. `dstack` server - Can run locally, remotely, or via dstack Sky (managed) 2. `dstack` CLI - Applies configurations and manages or inspects fleets, runs, logs, events, volumes, gateways, and offers; it uses project configurations stored in `~/.dstack/config.yml`, which can be managed with `dstack project` 3. `dstack` configuration files - YAML files ending with `.dstack.yml`
`dstack apply` shows a plan and submits configuration changes. For run configurations, it attaches when the run reaches `running` by default: it configures SSH access, forwards declared ports, and streams logs. With `-d`, it submits and exits.
## Quick agent flow (detached runs)
1) Show plan: `echo "n" | dstack apply -f <config>` 2) If plan is OK and user confirms, apply detached: `dstack apply -f <config> -y -d` 3) Check the run: `dstack run get <run-name> --json` 4) If dev-environment or task with ports and running: attach to surface IDE link/ports/SSH alias (agent runs attach in background); ask to open link 5) If attach fails in sandbox: request escalation; if not approved, ask the user to run `dstack attach` locally and share the output
**CRITICAL: Never propose `dstack` CLI commands or YAML syntaxes that don't exist.** - Only use CLI commands and YAML syntax documented here or verified via `--help` - If uncertain about a command or its syntax, check the links or use `--help`
**NEVER do the following:** - Invent CLI flags not documented here or shown in `--help` - Guess YAML property names - verify in configuration reference links - Run `dstack apply` for runs without `-d` in automated contexts (blocks indefinitely) - Retry failed commands without addressing the underlying error - Summarize or reformat tabular CLI output - show it as-is - Use `echo "y" |` when `-y` flag is available - Assume a command succeeded without checking output for errors
## Agent execution guidelines
### Output accuracy - **NEVER reformat, summarize, or paraphrase CLI output.** Display tables, status output, and error messages exactly as returned. - When showing command results, use code blocks to preserve formatting. - If output is truncated due to length, indicate this clearly (e.g., "Output truncated. Full output shows X entries.").
### Verification before execution - **When uncertain about any CLI flag or YAML property, run `dstack <command> --help` first.** - Never guess or invent flags. Example verification commands: ```bash dstack --help # List all commands dstack apply -h <configuration type> # Flags for apply per configuration type (dev-environment, task, service, fleet, etc) dstack fleet --help # Fleet subcommands dstack ps --help # Flags for ps ``` - If a command or flag isn't documented, it doesn't exist.
### Command timing and confirmation handling
**Commands that stream indefinitely in the foreground:** - `dstack attach` - `dstack apply` without `-d` for runs - `dstack ps -w`
Agents should avoid blocking: use `-d`, timeouts, or background attach. When attach is needed, run it in the background by default (`nohup ...`), but describe it to the user simply as "attach" unless they ask for a live foreground session.
When waiting programmatically for a specific run, use `dstack run get <run-name> --json` and read its top-level `status`. Run statuses are `pending`, `submitted`, `provisioning`, `running`, `terminating`, `terminated`, `failed`, and `done`; the last three are terminal. Stop waiting when the run reaches the state needed for the next action or a terminal status. Never parse or grep human-readable `dstack ps` output; its status column may display a job message such as `no offers`.
**All other commands:** Use 10-60s timeout. Most complete within this range. **While waiting, monitor the output** - it may contain errors, warnings, or prompts requiring attention.
**Confirmation handling:** - `dstack apply`, `dstack stop`, `dstack fleet delete` require confirmation - Use `-y` flag to auto-confirm when user has already approved - For `dstack stop`, always use `-y` after the user confirms to avoid interactive prompts - Use `echo "n" |` to preview `dstack apply` plan without executing (avoid `echo "y" |`, prefer `-y`)
**Best practices:** - Prefer modifying configuration files over passing parameters to `dstack apply` (unless it's an exception) - When user confirms deletion/stop operations, use `-y` flag to skip confirmation prompts
### Detached run follow-up (after `-d`)
After submitting a run with `-d` (dev-environment, task, service), first determine whether submission failed. If the apply output shows errors (validation, no offers, etc.), stop and surface the error.
If the run was submitted, check it with `dstack run get <run-name> --json`, then guide the user through relevant next steps: If you need to prompt for next actions, be explicit about the dstack step and command (avoid vague questions). When speaking to the user, refer to the action as "attach" (not "background attach"). - **Monitor status:** Report the current status and offer to keep watching. If watching, poll `dstack run get <run-name> --json` every 10-20 seconds until it reaches the state needed for the next action or a terminal status. - **Attach when running:** For agents, run attach in the background by default so the session does not block. Use it to capture IDE links/SSH alias or enable port forwarding; when describing the action to the user, just say "attach". - **Dev environments or tasks with ports:** Once `running`, attach to surface the IDE link/port forwarding/SSH alias, then ask whether to open the IDE link. Never open links without explicit approval. - **Services:** Prefer using service endpoints. Attach only if the user explicitly needs port forwarding or full log replay. - **Tasks without ports:** Default to `dstack logs` for progress; attach only if full log replay is required.
### Attaching behavior (blocking vs non-blocking)
`dstack attach` runs until interrupted and blocks the terminal. **Agents must avoid indefinite blocking.** If a brief attach is needed, use a timeout to capture initial output (IDE link, SSH alias) and then detach.
Note: `dstack attach` writes SSH alias info under `~/.dstack/ssh/config` (and may update `~/.ssh/config`) to enable `ssh <run name>`, IDE connections, port forwarding, and real-time logs (`dstack attach --logs`). If the sandbox cannot write there, the alias will not be created.
**Permissions guardrail:** If `dstack attach` fails due to sandbox permissions, request permission escalation to run it outside the sandbox. If escalation isn’t approved or attach still fails, ask the user to run `dstack attach` locally and share the IDE link/SSH alias output.
**Background attach (non-blocking default for agents):** ```bash nohup dstack attach <run name> --logs > /tmp/<run name>.attach.log 2>&1 & echo $! > /tmp/<run name>.attach.pid ``` Then read the output: ```bash tail -n 50 /tmp/<run name>.attach.log ``` Offer live follow only if asked: ```bash tail -f /tmp/<run name>.attach.log ``` Stop the background attach (preferred): ```bash kill "$(cat /tmp/<run name>.attach.pid)" ``` If the PID file is missing, fall back to a specific match (avoid killing all attaches): ```bash pkill -f "dstack attach <run name>" ``` **Why this helps:** it keeps the attach session alive (including port forwarding) while the agent remains usable. IDE links and SSH instructions appear in the log file -- surface them and ask whether to open the link (`open "<link>"` on macOS, `xdg-open "<link>"` on Linux) only after explicit approval.
If background attach fails in the sandbox (permissions writing `~/.dstack` or `~/.ssh`, timeouts), request escalation to run attach outside the sandbox. If not approved, ask the user to run attach locally and share the IDE link/SSH alias.
### Interpreting user requests
**"Run something":** When the user asks to run a workload (dev environment, task, service), use `dstack apply` with the appropriate configuration. Note: `dstack run` only supports `dstack run get --json` for retrieving run details -- it cannot start workloads.
**"Connect to" or "open" a dev environment:** If a dev environment is already running, use `dstack attach <run name> --logs` (agent runs it in the background by default) to surface the IDE URL (`cursor://`, `vscode://`, etc.) and SSH alias. If sandboxed attach fails, request escalation or ask the user to run attach locally and share the link.
## Configuration types
`dstack` supports run configurations (dev environments, tasks, and services) and infrastructure configurations (fleets, volumes, and gateways). Configuration files can be named `<name>.dstack.yml` or simply `.dstack.yml`.
**Common parameters:** All run configurations (dev environments, tasks, services) support many parameters including: - **Git integration:** Clone repos automatically (`repo`) or mount existing repos (`repos`) - **File upload:** Upload local files (`files`; see concept docs for examples) - **Docker support:** Use custom Docker images (`image`); use `docker: true` if you want to use Docker from inside the container (VM-based backends only) - **Environment:** Set environment variables (`env`), often via `.envrc`. Secrets are supported but less common. - **Storage:** Persistent network volumes (`volumes`), specify disk size - **Resources:** Define GPU, CPU, memory, and disk requirements
**Best practices:** - Prefer giving configurations a `name` property for easier management - When configurations need credentials (API keys, tokens), list only env var names in the `env` section (e.g., `- HF_TOKEN`), not values. Recommend storing actual values in a `.envrc` file alongside the configuration, applied via `source .envrc && dstack apply`. - `python` and `image` are mutually exclusive in run configurations. If `image` is set, do not set `python`.
### `files` and `repos` intent policy
Use `files` and `repos` only when the user intends to use local/repo files inside the run.
- If user asks to use project code/data/config in the run, then add `files` or `repos` as appropriate. - If it is totally unclear whether files or repos must be mounted, ask one explicit clarification question or default to not mounting.
`files` guidance: - Relative paths are valid and preferred for local project files. - A relative `files` path is placed under the run's `working_dir` (default or set by user).
`repos` + image/working directory guidance: - With non-default Docker images, prefer explicit absolute mount targets for `repos` (e.g., `.:/dstack/run`). - When setting an explicit repo mount path, also set `working_dir` to the same path. - Reason: custom images may have a different/non-empty default working directory, and mounting a repo into a non-empty path can fail. - With `dstack` default images, the default `working_dir` is already `/dstack/run`.
### 1. Dev environments **Use for:** Interactive development with IDE integration (VS Code, Cursor, etc.).
```yaml type: dev-environment name: cursor
python: "3.12" ide: vscode
resources: gpu: 80GB ```
[Concept documentation](https://dstack.ai/docs/concepts/dev-environments.md) | [Configuration reference](https://dstack.ai/docs/reference/dstack.yml/dev-environment.md)
### 2. Tasks **Use for:** Batch jobs, training runs, fine-tuning, web applications, any exe
Kompatibilitas platform
Detail teknis
- Versi
- 1.0.0
- Lisensi
- MPL-2.0
- Pembaruan terakhir
- 21 Agu 2026
- Diterbitkan
- 6 Jun 2026
Framework dan alat
Ringkasan keputusan
Pilihan utama
2,216 star GitHub
Audit
Tinjauan pemasangan
Tinjauan pemasangan dan adopsi
- Keamanan
- 77/100
- 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 Dstack, siap untuk posting manual di X.
Dstack: Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AM... 2.2K stars https://www.openagentskill.com/skills/dstackai-dstack?ref=x
Balasan opsional dengan perintah pemasangan
Listing + install path for Dstack: https://www.openagentskill.com/skills/dstackai-dstack?ref=x Install: npx skills add dstackai/dstack
Sumber listing
Diindeks komunitas
Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.
- Kreator
- dstackai
- Sumber
- dstackai/dstack
- 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 komunitas ini dikaitkan dengan dstackai, 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/dstackai-dstack)
[](https://www.openagentskill.com/skills/dstackai-dstack)
[](https://www.openagentskill.com/skills/dstackai-dstack/audit)
[](https://www.openagentskill.com/skills/dstackai-dstack)Penulis
dstackai✓
@dstackai
Kecocokan platform
Sinyal kesehatan
- Star GitHub
- 2.2K
- Skor kualitas
- 65/100
- Push GitHub terakhir
- 21 Agu 2026
- Petunjuk framework
- 2
- Tampilan OpenAgentSkill
- 14
- 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 GitHub2.2K star GitHubLulus
- Aktivitas star/fork2.2K star dan 250 fork; aktivitas issue tidak tersedia dalam metadata saat iniLulus
- Pemeliharaan terbaru1 hari sejak pushLulus
- Kejelasan lisensiMPL-2.0Lulus
- Kelengkapan README/SKILL.mdMetadata memuat konteks penggunaan dan alur kerja yang cukupLulus
- Risiko dependensi/runtimecommand execution surface, credential or environment accessPerbaiki
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