Huawei Cloud ModelArts Skill

Manage Huawei Cloud ModelArts resources including training jobs, models, inference services, notebooks, and resource overview with secure temporary credentials.

This skill mostly does what it says (ModelArts management), but before installing or invoking it consider: 1) Only run it in an appropriate ModelArts/cloud environment where the implicit system token behavior is intended — it will attempt to obtain runtime credentials via the SDK. 2) Be careful with create_training_job: it accepts a source_directory (code_dir) parameter that will likely read and upload local files; do not point it at directories containing secrets or sensitive files. 3) Ask the author to document required parameters (code_dir/boot_file/job_name), exactly how credentials are obtained, and to add explicit safeguards (whitelisted paths, explicit confirmation before uploading). 4) If you must use it outside a controlled cloud environment, run it in an isolated sandbox and review the package contents and the modelarts-sdk behavior for how credentials are sourced and temporary artifacts are handled. 5) The skill's desensitization is basic (name-based masking) and may not reliably remove all secrets from returned data — do not rely on it as the sole protection.

Type: OpenClaw Skill Name: huawei-cloud-modelarts-skill Version: 1.0.0 The skill bundle is a legitimate resource management tool for Huawei Cloud ModelArts. It implements standard administrative functions (listing and creating training jobs, models, and services) using the official 'modelarts-sdk'. Notably, it includes a dedicated security utility (tools/security.py) designed to desensitize sensitive information like AK/SK and tokens before returning data to the agent, demonstrating a security-conscious design aligned with its stated purpose.