RenderIO ffmpeg
Use the RenderIO FFmpeg-as-a-Service API to process video, audio, and images in the cloud. Covers submitting commands, polling results, uploading files, chai... Skill: RenderIO ffmpeg Owner: nevermind-s Summary: Use the RenderIO FFmpeg-as-a-Service API to process video, audio, and images in the cloud. Covers submitting commands, polling results, uploading files, chai... Tags: latest:1.0.1 Version history: v1.0.1 | 2026-05-17T20:49:00.557Z | user - Updated API endpoint domain in all cURL examples from api.renderio.dev to renderio.dev - No functional changes to code samples or
Rank
62
Safety
84
Downloads
1.9k
Updated
Oct 10, 2026
Version
1.0.1
Source
CLAWHUB
About
What it does, and when to use it.
Capability contract not published. No trust telemetry is available yet. 1.9K downloads reported by the source. Last updated 10/10/2026.
Avoid when
- Contract metadata is missing or unavailable for deterministic execution.
Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing
Public facts
Every fact links back to the source it came from.
- Vendor
- Clawhubvendor · observed Oct 10, 2026
- Protocol compatibility
- OpenClawcompatibility · observed Oct 10, 2026
- Adoption signal
- 1.9K downloadsadoption · observed Oct 10, 2026
- Latest release
- 1.0.1release · observed May 17, 2026
- Handshake status
- UNKNOWNsecurity
Install and run
Setup complexity: low.
clawhub skill install s178j2wvzjgw6a7m16zyxev96586x2pb:renderio-ffmpeg-api- Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
- Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.
Contract: missing
curl -s "https://www.xpersona.co/api/v1/agents/clawhub-nevermind-s-renderio-ffmpeg-api/snapshot"
Documentation
CLAWHUB
26,330 characters of source documentation, loaded on request.
Extracted files
3 files captured from the source.
skill.md
---
name: renderio-api
description: Use the RenderIO FFmpeg-as-a-Service API to process video, audio, and images in the cloud. Covers submitting commands, polling results, uploading files, chained workflows, and webhook delivery. Use this skill whenever the user wants to convert, resize, compress, trim, watermark, extract audio from, or otherwise process media via the RenderIO API.
allowed-tools: Read, Write, Edit, Bash, WebFetch
---
# RenderIO API Skill
RenderIO is an FFmpeg-as-a-Service REST API. You send an FFmpeg command over HTTP; RenderIO runs it in a secure cloud sandbox, stores outputs automatically, and returns signed download URLs.
## Setup
```bash
# Store API key as environment variable
export RENDERIO_API_KEY="ffsk_your_api_key_here"
```
Get a free API key at [renderio.dev/get-api-key](https://renderio.dev/get-api-key).
## The three rules that must never be broken
1. **Double braces for placeholders** — use `{{in_video}}` not `{in_video}`
2. **Key prefixes** — input keys start with `in_`, output keys start with `out_`
3. **Every key used in the command must be declared**, and every declared key must appear in the command
```json
// CORRECT
{
"ffmpeg_command": "-i {{in_video}} -c:v libx264 {{out_video}}",
"input_files": { "in_video": "https://example.com/video.mp4" },
"output_files": { "out_video": "result.mp4" }
}
// WRONG — single braces, missing out_ prefix
{
"ffmpeg_command": "-i {video} result.mp4",
"input_files": { "video": "https://example.com/video.mp4" }
}
```
## Core workflow
### 1. Submit a command
```bash
curl -X POST https://renderio.dev/api/v1/run-ffmpeg-command \
-H "X-API-KEY: $RENDERIO_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"ffmpeg_command": "-i {{in_video}} -vf scale=1280:720 -c:v libx264 -crf 23 {{out_video}}",
"input_files": { "in_video": "https://example.com/input.mp4" },
"output_files": { "out_video": "output-720p.mp4" }
}'
```
Response: `{ "command_id": "a1b2c3d4-..." }`
### 2. Poll for completion
```bash
curl https://renderio.dev/api/v1/commands/$COMMAND_ID \
-H "X-API-KEY: $RENDERIO_API_KEY"
```
Status values: `QUEUED` → `PROCESSING` → `SUCCESS` or `FAILED` (always uppercase).
### 3. Get output URL
```
result.output_files.out_video.storage_url
```
## TypeScript implementation
```typescript
const API_KEY = process.env.RENDERIO_API_KEY!;
const BASE = "https://api.renderio.dev";
interface CommandResult {
command_id: string;
status: "QUEUED" | "PROCESSING" | "SUCCESS" | "FAILED";
output_files: Record<string, {
storage_url: string;
filename: string;
size_mbytes: number;
duration?: number;
codec?: string;
width?: number;
height?: number;
}>;
total_processing_seconds?: number;
error?: string;
}
async function runFFmpeg(
command: string,
inputFiles: Record<string, string>,
outputFiles: Record<string, string>,
): Promise<CommandResult> {
const submitRes = await fetch(`${BASE}/api/v1/run-ffmpeg-command`, _meta.json
{
"ownerId": "kn7cf35n8yz4spvmzwgravxm3n86wdm8",
"slug": "renderio-ffmpeg-api",
"version": "1.0.1",
"publishedAt": 1779050940557
}skill-card.md
## Description: Use the RenderIO FFmpeg-as-a-Service API to process video, audio, and images in the cloud by submitting commands, polling results, uploading files, chaining workflows, and configuring webhooks. This skill is ready for commercial/non-commercial use. ## Publisher: [nevermind-s](https://clawhub.ai/user/nevermind-s) ### License/Terms of Use: MIT-0 ## Use Case: Developers and engineers use this skill to generate guidance, code samples, shell commands, and request payloads for cloud FFmpeg media-processing workflows through the RenderIO API. ### Deployment Geography for Use: Global ## Known Risks and Mitigations: Risk: Conflicting API domains for authenticated uploads and webhook setup could send API keys, media, or job metadata to the wrong endpoint. Mitigation: Confirm the correct RenderIO API host before using generated commands, uploads, or webhook configuration. Risk: Media files and processing metadata leave the user's environment when cloud API workflows are used. Mitigation: Avoid uploading sensitive local media unless the data handling requirements for the RenderIO service are acceptable. Risk: Generated examples rely on an API key stored in an environment variable. Mitigation: Keep the API key out of source code and logs, and review commands before execution. ## Reference(s): - [ClawHub skill page](https://clawhub.ai/nevermind-s/skills/renderio-ffmpeg-api) - [Publisher profile](https://clawhub.ai/user/nevermind-s) - [RenderIO API key page](https://renderio.dev/get-api-key) ## Skill Output: **Output Type(s):** [text, markdown, code, shell commands, configuration, guidance] **Output Format:** [Markdown with inline JSON, TypeScript, Python, and bash examples] **Output Parameters:** [1D] **Other Properties Related to Output:** [Produces API workflow guidance and example request payloads; generated commands may reference external media URLs, API keys, uploads, and webhooks.] ## Skill Version(s): 1.0.1 (source: server release metadata) ## Ethical Considerations: Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.
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Machine-readable data
The same record, as JSON, for agents and crawlers.
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