daytona-recording-artifacts

Tinjau · 64
Diindeks di Registry

frame proof, HTML frames, screenshots, recording, PR proof, e2e evidence, validate visually. Daytona artifacts workflow for validated screenshots and optional videos.

Verified installs0
Star4.6K
Versi1.0.0
Kualitas83/100 · Kuat
Kepercayaan64/100 · Hanya sandbox
Audit82/100 · 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 + Browser agents + CLI

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

Pasang

Siap

npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts

Pemeliharaan

Terkini

Diperbarui hari ini

Risiko

Perlu ditinjau

Permission surface may require sandboxing

Kualitas GitHub

4.6K

83/100 Kualitas · 72/100 Kepercayaan

Tag cakupan

CodingGitHub automationDesain dan kreatifagent-skill

Catatan ulasan

Permission surface may require sandboxing · Repository license is NOASSERTION; licensing terms are unclear.

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

Kuat
83

Solid option that is likely worth shortlisting for production workflows.

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
82

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

4.6K star GitHub

Aktivitas repositori

4.6K star dan 901 fork

Pemeliharaan

Diperbarui hari ini

Lisensi

NOASSERTION

Pasang

npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts

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

Usable metadata, review docs

Ringkasan risiko

Tinjau sebelum produksi

  • Repository license is NOASSERTION; licensing terms are unclear.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • Permission surface: shell or command execution, filesystem or document access

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 Local desktop
  • Tim Claude Code
  • Tim yang menghargai sinyal adopsi GitHub
  • Navigate local resources

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLIBrowser agentsCLI

Keputusan pemasangan

Perintah
npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts
Kebijakan
Tinjau
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
64/100
Audit
82/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

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

Perintah pemasangan

npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • production agents without a repository review
  • Repository license is NOASSERTION; licensing terms are unclear.
  • Petunjuk izin berisiko tinggi: Shell or command execution, Secrets or environment access
  • Permission surface may require sandboxing

Keamanan Agent v2

38/100 · 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

Browser automation

Skill may drive a browser or interact with web pages.

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: Shell or command execution, Secrets or environment access
  • 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 devin-axis-daytona-recording-artifacts

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 daytona-recording-artifacts in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20daytona-recording-artifacts%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/devin-axis-daytona-recording-artifacts/install
Install command: npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts
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 daytona-recording-artifacts for this task. Review https://www.openagentskill.com/api/skills/devin-axis-daytona-recording-artifacts/install, then install with: npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts

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

95/100

Local desktop

Platform

Claude Code, Browser agents

Laporan audit

Perlu ditinjau · 82/100

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

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Pilihan utama untuk Local desktop

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

95
Kesiapan
Adopsi
Tahap

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

  • 4,611 star GitHub
  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 83/100
  • 2 event interaksi OpenAgentSkill

tinjau dulu

  • Repository license is NOASSERTION; licensing terms are unclear.

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.

64
Trust Score OpenAgentSkill

Adopsi GitHub

Lulus

4.6K star GitHub

Aktivitas star/fork

Lulus

4.6K star dan 901 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
  • 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

  • Repository license is NOASSERTION; licensing terms are unclear.
  • Quality score needs review
  • Permission surface needs review: shell or command execution, filesystem or document access
  • 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

Kuat kandidat untuk alur kerja Agent

Solid option that is likely worth shortlisting for production workflows.

83
Star GitHub
4.6K
Keterkinian
Hari ini
Siap dipasang
Ya
Lisensi
NOASSERTION
Tinjau sebelum memasang: Repository license is NOASSERTION; licensing terms are unclear.

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: daytona-recording-artifacts description: frame proof, HTML frames, screenshots, recording, PR proof, e2e evidence, validate visually. Daytona artifacts workflow for validated screenshots and optional videos. ---

# Daytona Recording Artifacts

Use this skill to collect proof that a Daytona UI flow works. Use `fraimz` before declaring the flow passed. If the user asks to do e2e tests for a feature, frame proof is required unless they explicitly ask for non-UI or mock-only validation.

## Default: Frame-by-Frame HTML Proof

The default proof format is a browseable HTML page with named PNG screenshots for each step of the flow. This is faster to produce, easier to review, and works on any device.

Use video (MP4) only when the proof requires motion: streaming text, loading spinners, animations, drag-and-drop, or real-time interactions that a static frame cannot capture. When video is used, embed it inside the frame-by-frame HTML page alongside the static frames.

When a coded eval exists, prefer the eval runner frame output first:

```bash pnpm evals --flow <flow-id> --cdp-url <printed-electron-cdp-url> ```

The runner writes `evals/results/<run-id>/index.html` plus validated PNG evidence from `ctx.prove(...)` and `ctx.screenshot(...)`. Serve or copy that result directory for PR evidence.

### How to produce frame proof

1. Serve a directory from the sandbox on port 8090:

```bash daytona exec "$SANDBOX" -- 'bash -lc "mkdir -p /workspace/proof-frames; nohup python3 -m http.server 8090 --directory /workspace/proof-frames >/dev/null 2>&1 &"' ```

2. At each important state, capture a `browser_screenshot` locally and upload it to the sandbox with a numbered name like `01-auth-landing.png`, `02-org-filled.png`, etc.

3. Generate a browseable `index.html` with all frames as labeled images in a responsive grid. Include the branch, commit, and sandbox name.

4. Get the public URL:

```bash FRAMES_URL=$(daytona preview-url "$SANDBOX" -p 8090 2>/dev/null | grep -v "^time=") echo "${FRAMES_URL}/index.html" ```

5. Post the index URL in the PR body. Individual frame PNGs are also directly linkable: `${FRAMES_URL}/01-auth-landing.png`.

### Fallback when `/daytona-artifacts` is unavailable

The preferred path is `test-on-daytona.sh --artifacts-volume`, which mounts and serves `/daytona-artifacts`. If that path is unavailable or not writable, do not stop at local screenshots. Use `/workspace/proof-frames` as a fallback:

```bash daytona exec "$SANDBOX" -- 'bash -lc "mkdir -p /workspace/proof-frames; nohup python3 -m http.server 8090 --bind 0.0.0.0 --directory /workspace/proof-frames >/tmp/proof-frames-http.log 2>&1 &"' ```

Upload the generated `index.html` and PNG frames there, then verify every file is non-zero before sharing:

```bash daytona exec "$SANDBOX" -- 'bash -lc "ls -lh /workspace/proof-frames && curl -s -I http://127.0.0.1:8090/index.html | sed -n \"1,8p\""' daytona preview-url "$SANDBOX" -p 8090 ```

If you use this fallback, say so in the PR/eval report because the files are not on the persistent artifacts volume.

### When to include video clips

Embed short MP4 clips in the same proof directory when the step involves:

- Streaming text appearing in real-time (chat responses). - Loading/progress indicators that resolve. - Animations or transitions between states. - Drag-and-drop or multi-step interactions.

Reference them from the HTML index alongside the static frames.

## Recording Standard (video, when needed)

A useful Daytona recording should look like a person using the product, even though CDP is driving the browser or Electron window.

- Record the entire relevant journey, not only the final state. - Start before the first visible click and stop after the final visible success state. - Drive Chrome/Electron through visible controls with `browser_snapshot`, `browser_click`, and `browser_fill` wherever possible. - Keep API calls, localStorage writes, direct navigation, and filesystem checks out of the recorded path unless they are unavoidable setup. - If invisible setup is unavoidable, label it in the PR/eval and resume the recording at the next visible user step. - Prefer slower, understandable click-by-click recordings over faster scripts that jump between states. - The recording should be understandable without terminal output; logs and API checks are supporting evidence only.

## The Volume

The reusable Daytona volume is:

```text ipollowork-eval-artifacts:/daytona-artifacts ```

The helper serves it on port `8090` when `--artifacts-volume` or `--record-video` is used.

Expected layout:

```text /daytona-artifacts/recordings /daytona-artifacts/screenshots /daytona-artifacts/validation ```

## Start With Artifacts

For screenshots and validation notes without video:

```bash bash .devcontainer/test-on-daytona.sh [branch-or-commit] --artifacts-volume ```

For full human-review evidence:

```bash bash .devcontainer/test-on-daytona.sh [branch-or-commit] --record-video --recording-name <name> ```

`--record-video` implies `--artifacts-volume`.

## Capture Screenshot Checkpoints

Capture a persistent screenshot from the Daytona display:

```bash daytona exec "$SANDBOX" -- 'bash .devcontainer/capture-daytona-screenshot.sh' ```

Use this after important states: welcome screen, workspace created, settings connected, task response visible, error state reproduced, or final success.

Before sharing any screenshot URL, follow `fraimz` and inspect the saved PNG itself. Confirm the visible image shows the claimed state and is not covered by a native picker, modal, toast, desktop window, or unrelated overlay. If the screenshot does not match, recapture and inspect a replacement.

## Stop Recording

Always stop with the helper so ffmpeg finalizes the MP4 cleanly:

```bash daytona exec "$SANDBOX" -- 'bash .devcontainer/stop-daytona-recording.sh' ```

Do not use `kill -9`; it can corrupt the file.

After stopping, verify the recording exists and has duration:

```bash daytona exec "$SANDBOX" -- 'ls -lh /daytona-artifacts/recordings' daytona exec "$SANDBOX" -- 'ffprobe -v error -show_entries format=duration -of default=nw=1:nk=1 /daytona-artifacts/recordings/<name>.mp4' ```

If the duration is near zero, missing, or the file is absent, the recording is not usable evidence.

## Get Artifact URLs

Get the artifacts base URL:

```bash ARTIFACTS_URL=$(daytona preview-url "$SANDBOX" -p 8090 2>/dev/null | grep -v "^time=") ```

Then append paths:

```bash echo "${ARTIFACTS_URL}/recordings/<name>.mp4" echo "${ARTIFACTS_URL}/screenshots/<name>.png" ```

Artifact proxy URLs are not permanent. If the sandbox stops, the old `daytonaproxy` URL will fail even when files still exist in `/daytona-artifacts`. Restart the sandbox and artifact server, then generate a fresh URL:

```bash daytona sandbox start "$SANDBOX" daytona exec "$SANDBOX" -- 'bash -lc '\''cd /daytona-artifacts && nohup python3 -m http.server 8090 --bind 0.0.0.0 > /tmp/daytona-artifacts-http.log 2>&1 &'\''' daytona exec "$SANDBOX" -- 'curl -s -I http://127.0.0.1:8090/recordings/<name>.mp4 | sed -n "1,8p"' daytona preview-url "$SANDBOX" -p 8090 ```

Only share the refreshed URL after the local `curl -I` returns `200 OK` with a non-zero `Content-Length`.

## Before And After Flow

Use before/after recordings for UI regressions or design changes:

```bash bash .devcontainer/test-on-daytona.sh dev --record-video --recording-name my-feature-before daytona exec "$SANDBOX" -- 'bash .devcontainer/stop-daytona-recording.sh' daytona exec "$SANDBOX" -- "bash -lc 'cd /workspace && git fetch origin feat/my-branch:feat/my-branch && git checkout feat/my-branch'" daytona exec "$SANDBOX" -- "bash -lc 'cd /workspace && DISPLAY=:99 .devcontainer/start-daytona-recording.sh --detach --output /daytona-artifacts/recordings/my-feature-after.mp4'" daytona exec "$SANDBOX" -- 'bash .devcontainer/stop-daytona-recording.sh' ```

## Validation Standard

Use these layers in order of priority:

1. **Frame-by-frame HTML proof** (default): named PNGs in a browseable index. This is the primary evidence format for UI flows. 2. **CDP/browser assertions**: prove URL, text, state, accessibility tree, and process state alongside each frame capture. 3. **Video clips** (when needed): short MP4s embedded in the frame index for steps that require motion proof (streaming, animations, loading states).

Do not report success from a recording alone. The AI should inspect state with browser tools and use screenshots to validate visible behavior before declaring the flow passed.

Do not use a video as the primary demo if most of the flow happened through hidden automation. In that case, mark the run as technical validation only and produce a new frame-by-frame proof for human review.

If you discover invalid evidence after the fact, do not reuse the same URL as if it were valid. Produce new frames with new names and explain in the PR/comment that the earlier artifact was superseded.

Detail teknis

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

Ringkasan keputusan

Pilihan utama

95
Siap
Adopsi
Tahap

4,611 star GitHub

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

82
Perlu ditinjau
Keamanan
76/100
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 daytona-recording-artifacts, siap untuk posting manual di X.

Catatan kurator
daytona-recording-artifacts: frame proof, HTML frames, screenshots, recording, PR proof, e2e evidence, validate visually....

4.6K stars

https://www.openagentskill.com/skills/devin-axis-daytona-recording-artifacts?ref=x
Buka draf X
Balasan opsional dengan perintah pemasangan
Listing + install path for daytona-recording-artifacts:
https://www.openagentskill.com/skills/devin-axis-daytona-recording-artifacts?ref=x

Install: npx skills add Devin-AXIS/iPolloWork --skill daytona-recording-artifacts
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

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

Kreator
Devin-AXIS
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 Devin-AXIS, 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/devin-axis-daytona-recording-artifacts?metric=listed&label=Listed)](https://www.openagentskill.com/skills/devin-axis-daytona-recording-artifacts)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/devin-axis-daytona-recording-artifacts?metric=trust&label=Trust)](https://www.openagentskill.com/skills/devin-axis-daytona-recording-artifacts)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/devin-axis-daytona-recording-artifacts?metric=audit&label=Audit)](https://www.openagentskill.com/skills/devin-axis-daytona-recording-artifacts/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/devin-axis-daytona-recording-artifacts?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/devin-axis-daytona-recording-artifacts)

Penulis

D

Devin-AXIS

@devin-axis

Kecocokan platform

Sinyal kesehatan

Star GitHub
4.6K
Skor kualitas
48/100
Push GitHub terakhir
23 Agu 2026
Petunjuk framework
Tidak diketahui
Tampilan OpenAgentSkill
2
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 GitHub4.6K star GitHubLulus
  • Aktivitas star/fork4.6K star dan 901 fork; aktivitas issue tidak tersedia dalam metadata saat iniLulus
  • Pemeliharaan terbaruDiperbarui hari iniLulus
  • Kejelasan lisensiNOASSERTIONLulus
  • Kelengkapan README/SKILL.mdMetadata publik memerlukan konteks README/SKILL.md yang lebih kuatInfo
  • Risiko dependensi/runtimecommand execution surface, network or browser surfaceInfo