ClawHub

Train Robotic AI Models using Qualia

v2.0.0

Fine-tune robot foundation models on cloud GPUs — π0.5, π0, GR00T, SmolVLA, ACT, and more.

⭐ 2· 351·0 current·0 all-time
byQualia@fabbe1999
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
Capability signals
Requires sensitive credentials
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
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Benign
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OpenClawOpenClaw
Benign
high confidence
✓
Purpose & Capability
Name/description, SKILL.md, README, and the two CLI scripts all focus on interacting with api.qualiastudios.dev to list models, inspect datasets, create projects, and launch/monitor finetune jobs; the only required environment variable is QUALIA_API_KEY which directly matches the described API access.
✓
Instruction Scope
Runtime instructions and the scripts only reference HuggingFace dataset IDs, model/instance selection, camera mapping, and calls to the Qualia API. They do not instruct reading unrelated local files, other environment variables, or sending data to unexpected external endpoints.
✓
Install Mechanism
No install spec is present (instruction-only with included scripts). The bundled bash and python scripts are self‑contained and make HTTPS requests to the documented API host; there are no downloads from third‑party URLs or archive extraction steps.
✓
Credentials
Only one env var is required (QUALIA_API_KEY). That is proportionate to the task; no broad or unrelated credentials/config paths are requested. The code accesses no other environment variables.
✓
Persistence & Privilege
The skill is not force‑included (always: false) and does not modify other skills or system configuration. It relies on user-supplied API credentials and user invocation, so its system presence and privileges are minimal and expected.
Assessment
This skill appears internally consistent and implements a CLI for the Qualia service. Before installing: (1) Confirm you trust https://qualiastudios.dev and the api.qualiastudios.dev endpoint; (2) Only provide a Qualia API key with the minimum necessary scope/credits and be aware training costs (scripts call instances and estimate credits/hr); (3) If you use private datasets, note the skill will reference HuggingFace dataset IDs and send them to the Qualia API—ensure that aligns with your data privacy needs; (4) The skill runs bundled shell/Python scripts that will perform network requests — run them in a controlled environment or inspect them locally if you have concerns; (5) Revoke or rotate the API key if you stop using the skill. Overall this looks coherent for its stated purpose.

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

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License

MIT-0
Free to use, modify, and redistribute. No attribution required.
Termshttps://spdx.org/licenses/MIT-0.html

Runtime requirements

🤖 Clawdis
EnvQUALIA_API_KEY

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