Fine-tune Service CN | 模型微调服务
v1.0.0模型微调服务 | Model Fine-tuning Service. LLM LoRA/QLoRA 微调 | LLM LoRA/QLoRA fine-tuning. 7B/13B 模型微调 | 7B/13B model fine-tuning. Stable Diffusion LoRA 训练 | Stable...
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byGuohongbin@guohongbin-git
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description describe a model fine-tuning service and the skill only requires python3 and nvidia-smi, which are reasonable for running or orchestrating GPU-based fine-tuning. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
SKILL.md contains service description, pricing, contact and delivery steps for a human-operated microservice; it does not instruct the agent to read local files, access unrelated environment variables, call external endpoints programmatically, or exfiltrate data. The included consult.sh simply prints contact/price info.
Install Mechanism
No install spec; the skill is instruction-only with a tiny helper script and package.json metadata. Nothing is downloaded or written to disk by an installer.
Credentials
The skill requests no environment variables or credentials. That is proportionate to an informational/consultation skill that connects the user to a human operator for paid work.
Persistence & Privilege
always is false and the skill does not request elevated or persistent privileges, nor does it attempt to modify other skills or system configuration.
Assessment
This skill is internally coherent: it's essentially an advertisement/consultation interface for a human-run fine-tuning service. Before engaging: verify the provider's identity and reputation (unknown source/GitHub link is generic), do not send proprietary or sensitive data (PII, private corp data, licensed model weights) without an NDA, prefer escrowed payment or platform-managed payment where possible, request sample outputs and proof-of-work (e.g., training logs, hashes of delivered model files), and confirm hardware claims and refund/remediation terms. If you need an automated/agentic fine-tuning tool (runs inside your environment), prefer skills that provide reproducible code, clear install instructions, and well-scoped environment requirements.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.
Runtime requirements
🔧 Clawdis
Binspython3, nvidia-smi