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atlas-cloud-media

Discover Atlas Cloud image and video models, inspect their live schemas, and submit one confirmed media generation request with bounded GET polling.…

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  • 严重 SKILL.md:4perm-wildcard
    allowed-tools: Bash(python3 *)
  • scripts/atlas_media.py:33cred-envread
    self.api_key = api_key or os.environ.get("ATLASCLOUD_API_KEY")
  • scripts/atlas_media.py:35cred-envread
    base_url or os.environ.get("ATLASCLOUD_BASE_URL") or DEFAULT_BASE_URL

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技能内容

Atlas Cloud Media

Use the bundled scripts/atlas_media.py CLI to discover current Atlas Cloud

models, inspect a model's live request schema, and run asynchronous image or

video generation.

When to Use This Skill

  • The user wants to find an available Atlas Cloud image or video model.
  • An integration needs the current model ID, input fields, endpoint, or price.
  • The user wants one explicitly confirmed media generation request.
  • An asynchronous Atlas Cloud task needs bounded status polling.

Setup

Set the API key in the environment. Never pass it as a CLI argument or commit it

to a repository.

~~~bash

export ATLASCLOUD_API_KEY="your-api-key"

~~~

ATLASCLOUD_BASE_URL may point to a compatible deployment. It defaults to

https://api.atlascloud.ai.

Workflow

1. Discover current models

~~~bash

python3 scripts/atlas_media.py models --type Image --query flux

python3 scripts/atlas_media.py models --type Video --query seedance

~~~

Treat model availability and prices as live data. Run discovery immediately

before choosing a model.

2. Inspect the exact schema

~~~bash

python3 scripts/atlas_media.py describe black-forest-labs/flux-schnell

~~~

The command resolves the model's current schema URL and reports the required

fields, property definitions, submission endpoint, result endpoint, and catalog

price data. Build the payload from this output instead of copying an old

example.

3. Prepare parameters in a file

~~~json

{

"prompt": "A clean product photograph on a neutral background",

"size": "1024*1024",

"num_images": 1

}

~~~

Do not include model; the CLI inserts the selected model ID after validation.

4. Confirm cost and generate once

~~~bash

python3 scripts/atlas_media.py generate \

black-forest-labs/flux-schnell \

--params-file request.json \

--confirm-paid

~~~

The --confirm-paid flag is mandatory. The CLI sends exactly one generation POST

and does not retry it. It polls only the schema-defined GET result endpoint,

with a fixed interval and maximum poll count.

Use stdin when a temporary file is unnecessary:

~~~bash

printf '%s' '{"prompt":"A geometric app icon"}' | \

python3 scripts/atlas_media.py generate \

black-forest-labs/flux-schnell \

--params-file - \

--confirm-paid

~~~

Safety Rules

  • Keep ATLASCLOUD_API_KEY server-side and out of logs, prompts, screenshots,

browser code, mobile apps, and committed files.

  • Never retry a generation POST automatically. If submission fails, report the

error and require a new explicit confirmation before another paid request.

  • Poll only with GET and stop at --max-polls.
  • Validate the live schema again when changing models.
  • Download returned media URLs before they expire when persistent storage is

required.

  • Require human review for sensitive, regulated, or high-impact content.

Output

Commands write structured JSON to stdout. Successful generation output includes

the prediction ID, final status, generated URLs, model ID, and the endpoints

resolved from the live schema.

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原文件路径plugins/all-skills/skills/atlas-cloud-media/SKILL.md

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