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在 OpenClaw 中安装
/install qualia-skill
功能描述
Fine-tune robot foundation models on cloud GPUs — π0.5, π0, GR00T, SmolVLA, ACT, and more.
安全使用建议
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.
功能分析
Type: OpenClaw Skill
Name: qualia-skill
Version: 2.0.0
The Qualia skill bundle is a legitimate toolset for interacting with the Qualia robotics fine-tuning platform. The provided scripts (qualia.py and qualia.sh) are clean API wrappers using standard libraries to manage training jobs, projects, and credits via https://api.qualiastudios.dev. No evidence of data exfiltration, malicious execution, or prompt injection was found.
能力标签
能力评估
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.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install qualia-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/qualia-skill触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v2.0.0
Changes in v2:
New: scripts/qualia.py — Complete Python rewrite of the CLI. Pure stdlib (urllib + json), zero external dependencies. No more curl/jq requirement. Same commands, same interface. This is what was triggering VirusTotal (bash + curl + API keys = "suspicious data exfiltration" heuristic).
Updated: SKILL.md — Better agent instructions: onboarding flow with sign-up link, "when someone asks to train" decision tree so agents know what info to gather, troubleshooting table, smart camera mapping hints, cost estimation guidance, live docs links. Added ClawhHub metadata: tags (robotics, foundation-models, vla, etc.), categories, and homepage (qualiastudios.dev).
Updated: README.md — References changed from bash to Python, simplified requirements to just "Python 3.6+".
Kept: scripts/qualia.sh — Still there for backwards compatibility. Not referenced in SKILL.md anymore but won't break existing installs.
v1.0.0
Initial release — fine-tune and iterate on robotic foundation models on cloud GPUs
元数据
常见问题
Train Robotic AI Models using Qualia 是什么？
Fine-tune robot foundation models on cloud GPUs — π0.5, π0, GR00T, SmolVLA, ACT, and more. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 415 次。
如何安装 Train Robotic AI Models using Qualia？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install qualia-skill」即可一键安装，无需额外配置。
Train Robotic AI Models using Qualia 是免费的吗？
是的，Train Robotic AI Models using Qualia 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Train Robotic AI Models using Qualia 支持哪些平台？
Train Robotic AI Models using Qualia 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Train Robotic AI Models using Qualia？
由 Qualia（@fabbe1999）开发并维护，当前版本 v2.0.0。
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