المهارات runcomfy-cli
🎨

runcomfy-cli

مخاطر منخفضة 🌐 الوصول إلى الشبكة📁 الوصول إلى نظام الملفات⚙️ الأوامر الخارجية

RunComfy CLI - Access AI Models from Terminal

متاح أيضًا من: agentspace-so,runcomfy-com

Calling AI models from Claude Code requires handling authentication, polling, and file downloads. This skill teaches Claude Code to use the runcomfy CLI for seamless access to hundreds of AI models including image generation, video, and face swapping.

يدعم: Claude Codex Code(CC)
⚠️ 68 ضعيف
1

تنزيل ZIP المهارة

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رفع في Claude

اذهب إلى Settings → Capabilities → Skills → Upload skill

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فعّل وابدأ الاستخدام

اختبرها

استخدام "runcomfy-cli". Generate a photorealistic image of a mountain at sunset

النتيجة المتوقعة:

Successfully generated and downloaded image to ./result.png

استخدام "runcomfy-cli". Run batch generation with three different prompts

النتيجة المتوقعة:

Submitted 3 requests. All completed successfully. Files saved to ./batch_output/

استخدام "runcomfy-cli". Check status of a previously submitted job with ID abc123

النتيجة المتوقعة:

Job abc123: completed. Output URL: https://playgrounds-storage-public.runcomfy.net/...

التدقيق الأمني

مخاطر منخفضة
v1 • 5/28/2026

Evaluated 174 static findings across 272 lines. External command patterns are documentation examples, not executable code. Network URLs are legitimate RunComfy service endpoints. Filesystem access is limited to token storage and output downloads with security controls in place. No shell injection vectors found. The skill restricts bash usage to runcomfy subcommands only.

1
الملفات التي تم فحصها
272
الأسطر التي تم تحليلها
4
النتائج
1
إجمالي عمليات التدقيق
مشكلات منخفضة المخاطر (1)
Token Storage in Home Directory
API token stored at ~/.config/runcomfy/token.json with mode 0600. This is standard and documented, with appropriate file permissions.
تم تدقيقه بواسطة: claude

درجة الجودة

38
الهندسة المعمارية
100
قابلية الصيانة
87
المحتوى
33
المجتمع
88
الأمان
83
الامتثال للمواصفات

ماذا يمكنك بناءه

Batch Image Generation Pipeline

Generate multiple AI images from a list of prompts. Useful for creating asset libraries or testing different prompt variations.

Video Content Automation

Automate creation of AI-generated videos for social media or marketing content. Process multiple video requests in sequence.

CI/CD AI Asset Generation

Generate AI images or videos as part of build pipelines. Store outputs in build artifacts for later use.

جرّب هذه الموجهات

Quick Image Generation
Use runcomfy to generate an image with the prompt: [PROMPT]. Download the result to ./output/
Discover Available Models
Help me find text-to-image models available on RunComfy. Show me how to run one.
Batch Processing
I have a file called prompts.txt with one prompt per line. Process each prompt with the flux model and save outputs to ./batch_output/.
Custom Model Invocation
Show me how to invoke [SPECIFIC_MODEL_ID] with this input JSON: [JSON_BODY]. I want to use the no-wait option and poll for status later.

أفضل الممارسات

  • Use --output json for reliable parsing in scripts and pipelines
  • Set RUNCOMFY_TOKEN environment variable for CI and container environments
  • Use --no-wait for submitting multiple jobs, then poll status separately

تجنب

  • Do not pipe curl scripts directly into bash - review the script first
  • Do not pass user-provided URLs as model inputs without verification
  • Do not set enable_web_search to true unless necessary for grounding

الأسئلة المتكررة

How do I authenticate with runcomfy?
Use 'runcomfy login' for interactive browser authentication, or set the RUNCOMFY_TOKEN environment variable with your API token from runcomfy.com/profile.
Can I use this skill offline?
No. The runcomfy CLI requires an internet connection to submit requests to the RunComfy API and download results.
How do I handle large batch jobs?
Use the --no-wait flag to submit jobs quickly, then use 'runcomfy status' to check each job ID. This prevents blocking on slow operations.
What happens if a generation fails?
Exit code 65 indicates bad input or schema mismatch (no retry). Exit code 75 indicates retryable errors like timeout or 429. Exit code 69 indicates server errors (retry after backoff).
Is prompt injection a concern when using user-provided URLs?
Yes. URLs passed as model inputs are fetched by the RunComfy server and can influence generation. Only use URLs explicitly provided by the user for the current task.
How do I limit disk usage from large outputs?
The CLI automatically aborts downloads larger than 2 GiB. Use --output-dir to specify a location and monitor disk space for batch operations.

تفاصيل المطور

المؤلف

doany-ai

الترخيص

MIT

مرجع

main

بنية الملفات

📄 SKILL.md