modelscope-api

name	modelscope-api
description	Use when Codex needs to work with Alibaba ModelScope models, datasets, Skills, MCP services, Studios, OpenAPI endpoints, SDK/CLI resource downloads, file uploads, or authenticated ModelScope account operations.

ModelScope API

Overview

Use ModelScope OpenAPI for platform queries and management, and use the official ModelScope SDK/CLI for downloading model or dataset resources. Keep credentials outside the skill and outside committed files; each user should configure their own token in the environment.

The official OpenAPI source is bundled at references/openapi.json. Start with references/api-summary.md for endpoint selection, then inspect openapi.json only when exact schema details are required.

For downloads, start with references/sdk-downloads.md. Context7 documentation for /modelscope/modelscope confirms that the official CLI supports modelscope download with --model, --dataset, --revision, --cache_dir, --local_dir, --include, --exclude, and optional file paths.

Token Setup

Require one of these environment variables before authenticated calls:

export MODELSCOPE_API_TOKEN="..."

MODELSCOPE_TOKEN is accepted as a fallback for local compatibility. Never write tokens into SKILL.md, scripts, examples, shell history snippets, logs, or files committed with the skill.

Quick Start

Check the local environment first:

python3 skills/modelscope-api/scripts/check_setup.py

Use the OpenAPI helper for platform API calls:

python3 skills/modelscope-api/scripts/modelscope_api.py GET /users/me
python3 skills/modelscope-api/scripts/modelscope_api.py GET /models --query search=Qwen --query page_size=5
python3 skills/modelscope-api/scripts/modelscope_api.py GET /models/qwen/Qwen3-8B

Use the SDK/CLI download helper for resources:

python3 skills/modelscope-api/scripts/modelscope_download.py model qwen/Qwen3-8B --local-dir ./Qwen3-8B --dry-run
python3 skills/modelscope-api/scripts/modelscope_download.py dataset modelscope/test-dataset --cache-dir ./ms-cache --dry-run

Use --dry-run before mutating calls or when showing examples. It redacts the authorization header:

python3 skills/modelscope-api/scripts/modelscope_api.py POST /studios --data '{"owner":"my-user","repo_name":"demo"}' --dry-run

For file uploads:

python3 skills/modelscope-api/scripts/modelscope_api.py POST /files/upload --file file=/path/to/archive.zip

Workflow

1. Decide whether the task is metadata/management or resource download.
2. For metadata and management, read references/api-summary.md; use scripts/modelscope_api.py.
3. For model or dataset downloads, read references/sdk-downloads.md; use scripts/modelscope_download.py or the official modelscope download CLI directly.
4. For setup issues, read references/setup.md; use scripts/check_setup.py.
5. For skill publishing, read references/publishing-skills.md; use scripts/package_skill.py.
6. For schema precision, search references/openapi.json for operationId, path, or schema name.
7. Confirm a token is available in MODELSCOPE_API_TOKEN when the operation needs authenticated access; if not, ask the user to configure it.
8. Use --dry-run for POST, PUT, PATCH, DELETE, deployments, uploads, secret changes, skill publishing, and large downloads before sending the request.
9. Summarize returned JSON in user language; include request_id when present.

Common Tasks

Search Models Or Datasets

Use GET /models or GET /datasets with search, owner, pagination, and filter.* query parameters.

python3 skills/modelscope-api/scripts/modelscope_api.py GET /models --query search=Qwen --query sort=downloads --query page_size=10
python3 skills/modelscope-api/scripts/modelscope_api.py GET /datasets --query search=中文语料库 --query page_size=5

Download Models Or Datasets

Use the official SDK/CLI, not OpenAPI. The OpenAPI bundled here does not expose model or dataset file download endpoints.

python3 skills/modelscope-api/scripts/modelscope_download.py model qwen/Qwen3-8B --local-dir ./Qwen3-8B --dry-run
python3 skills/modelscope-api/scripts/modelscope_download.py dataset modelscope/test-dataset --cache-dir ./ms-cache --dry-run

Remove --dry-run only after checking expected size, output path, include/exclude filters, and user intent.

Check Setup

Run the setup check before first use or when authentication/downloads fail:

python3 skills/modelscope-api/scripts/check_setup.py --json

Read references/setup.md to interpret missing token or missing CLI results.

Manage Studios

Use the hardware, SDK version, and base image endpoints before creating or updating a Studio. Changes to hardware, SDK, base image, or runtime config may require redeployment.

Use secret endpoints for sensitive values and variable endpoints only for non-sensitive values. Studio variables return plaintext values.

Publish Or Update ModelScope Skills

Use POST /files/upload to upload a zip file first, then use the returned file ID as skill_file in POST /skills or PATCH /skills/{owner}/{skill_name}/settings.

The OpenAPI states the zip package must be at most 5 MB and its root must contain exactly one SKILL.md.

Package and validate this skill shape with:

python3 skills/modelscope-api/scripts/package_skill.py skills/modelscope-api --output /tmp/modelscope-api-skill.zip

Read references/publishing-skills.md before publishing or updating a Skill on ModelScope.

References

• references/api-summary.md: compact endpoint and schema guide.
• references/sdk-downloads.md: ModelScope SDK/CLI download guide.
• references/setup.md: local environment and token setup guide.
• references/publishing-skills.md: packaging, uploading, creating, and updating ModelScope Skills.
• references/openapi.json: complete OpenAPI 3.1.1 source from ModelScope.
• scripts/modelscope_api.py: dependency-free CLI for authenticated requests.
• scripts/modelscope_download.py: wrapper around the official modelscope download CLI.
• scripts/check_setup.py: setup checker for token, Python, and ModelScope CLI.
• scripts/package_skill.py: package validator for ModelScope Skill zip uploads.