MyReels API

Use this skill when the user wants to generate images, videos, speech, or music with MyReels, inspect the live model schema, submit a generation task, list t...

MIT-0 · Free to use, modify, and redistribute. No attribution required.
0 · 113 · 0 current installs · 0 all-time installs
byMyReelsAI@beautyaiclub
MIT-0
Security Scan
VirusTotalVirusTotal
Benign
View report →
OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description (MyReels generation, model inspection, task submission/polling) match the actual scripts and documented API paths. The only required env vars are MYREELS_ACCESS_TOKEN and MYREELS_BASE_URL which are appropriate for this API client.
Instruction Scope
SKILL.md and bundled scripts confine actions to: reading ~/.myreels/config or environment variables, calling the MyReels API endpoints, and returning/parsing JSON. There are no instructions to read unrelated files, access other credentials, or post data to third-party endpoints.
Install Mechanism
No install spec that downloads arbitrary code; the skill is instruction-first and ships shell scripts. The README suggests adding the skill from a GitHub repo (traceable). No external/untrusted download URLs or archive extraction were used.
Credentials
Only two env vars are required (MYREELS_ACCESS_TOKEN and MYREELS_BASE_URL). Both are justified by the skill's purpose. Scripts only read the declared config path (~/.myreels/config) or environment overrides.
Persistence & Privilege
always is false and the skill does not request permanent elevated privileges or modify other skills. It reads a local config file and may be invoked autonomously (platform default) but does not attempt to persist new credentials or change agent-wide settings.
Assessment
This skill appears coherent and limited to interacting with myreels.ai. Before installing: (1) only provide MYREELS_ACCESS_TOKEN if you trust MyReels and the skill source; treat the token as sensitive. (2) Verify the repository/homepage (SKILL.md points to github.com/myreelsai/skills and myreels.ai). (3) If you do not want the agent to call the skill autonomously, disable autonomous invocation for the agent or set disable-model-invocation where supported. (4) Review the included scripts if you require stricter auditing—scripts use curl/jq, create temporary files, and remove them. Finally, be aware the skill will make network calls to your configured MYREELS_BASE_URL (default https://api.myreels.ai).

Like a lobster shell, security has layers — review code before you run it.

Current versionv1.0.8
Download zip
latestvk97d3c4yj21a8p0zbpskg5njtd83z9nc

License

MIT-0
Free to use, modify, and redistribute. No attribution required.

Runtime requirements

EnvMYREELS_ACCESS_TOKEN, MYREELS_BASE_URL

SKILL.md

MyReels API

This skill is the executable interface to the MyReels public API. Use the bundled scripts first. Fall back to the raw HTTP references only when the scripts do not cover the case.

Operator Rules

  • Always read the live model schema before building a request body.
  • Do not invent parameter names. Use userInputSchema from the live models endpoint.
  • Prefer the bundled scripts over hand-written curl or fetch.
  • Save result URLs on your side. Do not assume MyReels stores them forever.

Prerequisites

  • An active MyReels subscription is required for generation and task query endpoints.
  • Create an AccessToken in myreels.ai/developer.
  • GET https://api.myreels.ai/api/v1/models/api was verified on March 18, 2026 and currently does not require Authorization.

Config file ~/.myreels/config:

MYREELS_BASE_URL="https://api.myreels.ai"
MYREELS_ACCESS_TOKEN="YOUR_ACCESS_TOKEN"

The scripts in this skill read that file automatically. Environment variables override the file.

First-time setup or config issues:

scripts/myreels-doctor.sh

Bundled Scripts

  • scripts/myreels-doctor.sh Checks config, dependencies, and live connectivity.
  • scripts/myreels-models.sh Loads live model metadata and can filter by tag or modelName.
  • scripts/myreels-generate.sh Submits a generation task for a chosen model.
  • scripts/myreels-tasks-list.sh Lists the authenticated user's tasks with paging and filters.
  • scripts/myreels-task-get.sh Queries a task and derives the next action for the agent.

Recommended Workflow

1. Load live models first

scripts/myreels-models.sh --summary

If you already know the candidate model, inspect its full schema:

scripts/myreels-models.sh --model MODEL_NAME

Priority fields when selecting a model:

  • modelName
  • name
  • tags
  • description
  • estimatedCost
  • displayConfig.estimatedTime
  • userInputSchema
  • userInputSchema.<param>.label
  • userInputSchema.<param>.description
  • userInputSchema.<param>.default
  • userInputSchema.<param>.options

For natural-language requests such as "stronger motion" or "disable prompt extension", map user intent from label and description, not from field names alone.

2. List existing tasks when needed

Use this when the user asks for recent tasks, task history, or wants to find tasks by status or date.

scripts/myreels-tasks-list.sh --page 1 --limit 10

Common filters:

scripts/myreels-tasks-list.sh --status completed --start-date 2026-03-01T00:00:00.000Z

For GET requests, the public Worker uses query parameters for these filters.

Supported task status values:

  • pending
  • processing
  • completed
  • failed
  • cancelled
  • warning

3. Submit a task

Use the real modelName, not a display slug.

Example:

scripts/myreels-generate.sh nano-banana2 '{"prompt":"A cinematic portrait with soft studio lighting"}'

Alternative if the request body is large:

scripts/myreels-generate.sh --model nano-banana2 --file request.json

The script returns a normalized JSON acknowledgement with taskID and the next polling hint.

4. Poll task status

scripts/myreels-task-get.sh TASK_ID

The script returns a simplified action model:

  • WAIT Task is still running. Poll again later.
  • DELIVER Task completed. Deliver resultUrls to the user.
  • FAILED Task failed. Explain the failure and retry with a corrected request.
  • REVIEW Unexpected task state. Inspect the raw response before retrying.

Task states from the public API:

  • pending
  • processing
  • completed
  • failed
  • cancelled
  • warning

Polling guidance:

  • image generation / image editing: 10 seconds
  • video generation: 30 seconds to 1 minute

Query rate limit:

  • 60 requests per minute

5. Deliver result URLs

When nextAction=DELIVER, read resultUrls from the output and pass the final URLs to the user. Save them on your side if persistence matters.

Response Rules

  • Check the final HTTP status first.
  • If the HTTP status is 2xx, then inspect the response body status.
  • For task queries, check data.status after status === "ok".
  • If the upstream response includes code, the Worker uses it as the final HTTP status.
  • If the upstream response does not include code, the Worker falls back to the upstream HTTP status.

Public Paths

  • POST /generation/:modelName
  • GET /generation/tasks
  • GET /query/task/:taskID
  • GET|POST /api/v1/*

Model Categories

CategoryTagsDescription
Image and editingt2i / i2i / i2etext-to-image, image-to-image, image editing
Videot2v / i2vtext-to-video, image-to-video, avatar/video motion
Speech and musict2a / m2atext-to-speech, music generation

Raw API Fallback

If the bundled scripts do not cover the case, use the raw HTTP references:

Install

npx skills add https://github.com/myreelsai/skills --skill myreels-api -g

Remove -g for a project-level install.

Files

10 total
Select a file
Select a file to preview.

Comments

Loading comments…