Install
$ agentstack add skill-runwayml-skills-rw-recipe-full-setup ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ● Environment & secrets Used
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Full Runway API Setup
> PREREQUISITE: Run +rw-check-compatibility first to ensure the project has server-side capability.
This recipe guides a user through the complete process of integrating Runway's public API into their project. It chains together the compatibility check, API key setup, and API integration skills.
Workflow
Phase 1: Compatibility Check
Use +rw-check-compatibility to analyze the user's project.
- Identify the project type (Node.js, Python, etc.)
- Verify server-side capability
- Check runtime version compatibility
- Look for existing Runway SDK installation
If the project is INCOMPATIBLE, stop and explain the options:
- Add a backend (Express, FastAPI, etc.)
- Use a fullstack framework (Next.js, SvelteKit, Nuxt, Remix)
- Add serverless functions (Vercel Functions, AWS Lambda)
- Create a separate backend service
If NEEDS CHANGES, help the user make the required changes before proceeding.
If COMPATIBLE, proceed to Phase 2.
Phase 2: API Key Setup
Use +rw-setup-api-key to configure credentials.
- Direct the user to https://dev.runwayml.com/ to create an account and API key
- Install the appropriate SDK (
@runwayml/sdkfor Node.js,runwaymlfor Python) - Configure the
RUNWAYML_API_SECRETenvironment variable - Update
.gitignoreto exclude.env - Remind about credit purchase requirement ($10 minimum)
Wait for the user to confirm they have their API key before proceeding.
Phase 3: Determine What to Integrate
Ask the user what they want to build. Based on their response, use the appropriate integration skill:
| User wants... | Skill to use | | ------------------------------- | ------------------------------------------------------------------------------- | | Generate videos from text | +rw-integrate-video (text-to-video) | | Animate images into video | +rw-integrate-video (image-to-video) + +rw-integrate-uploads if local files | | Edit/transform existing videos | +rw-integrate-video (video-to-video) + +rw-integrate-uploads | | Generate images from text | +rw-integrate-image | | Generate images with references | +rw-integrate-image + +rw-integrate-uploads if local refs | | Text-to-speech | +rw-integrate-audio | | Sound effects | +rw-integrate-audio | | Voice isolation/dubbing | +rw-integrate-audio + +rw-integrate-uploads | | Real-time conversational avatar | +rw-integrate-characters + +rw-integrate-character-embed (React UI) | | Avatar with domain knowledge | +rw-integrate-characters + +rw-integrate-documents + +rw-integrate-character-embed | | Multiple capabilities | Integrate each one, sharing the same client instance |
Phase 4: Write the Integration Code
Based on the user's framework and needs:
- Create the API route/handler — server-side endpoint that calls Runway
- Add upload handling if the user needs to accept files from their users
- Add error handling — catch and handle task failures
- Handle output storage — remind user that output URLs expire in 24-48 hours
Phase 5: Test and Verify
Help the user:
- Run a test generation to verify everything works
- Check for common issues (missing env var, insufficient credits, wrong model)
- Confirm output is accessible
Decision Tree for Upload Requirements
When the user's workflow involves images or videos as input:
Does the input come from a public HTTPS URL?
├── YES → Pass the URL directly to the API
└── NO → Is it a local file or user-uploaded file?
├── YES → Use +rw-integrate-uploads to upload first, then pass runway:// URI
└── NO → Is it small enough for a data URI? (< 5MB image, < 16MB video)
├── YES → Convert to base64 data URI
└── NO → Use +rw-integrate-uploads
Important Reminders
- Never expose the API key in client-side code. All API calls must happen server-side.
- Output URLs expire. Always download and store generated content.
- Credits are required. The API won't work without prepaid credits.
- Rate limits exist. Rate limits exist. You should always check what is the rate limit before attempting concurrent generations.
- Content moderation applies to both inputs and outputs. Safety-flagged inputs are non-refundable.
- Be cost-conscious. Help users pick the right model for their budget. Credit cost can be found on https://docs.dev.runwayml.com/guides/pricing/
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: runwayml
- Source: runwayml/skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.