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Dl Transformer Finetune

cross-platform ⚠ suspicious
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Install in OpenClaw
/install dl-transformer-finetune
Description
Build transformer fine-tuning run plans with task settings, hyperparameters, and model-card outputs. Use for repeatable Hugging Face or PyTorch finetuning wo...
README (SKILL.md)

DL Transformer Finetune

Overview

Generate reproducible fine-tuning run plans for transformer models and downstream tasks.

Workflow

  1. Define base model, task type, and dataset.
  2. Set training hyperparameters and evaluation cadence.
  3. Produce run plan plus model card skeleton.
  4. Export configuration-ready artifacts for training pipelines.

Use Bundled Resources

  • Run scripts/build_finetune_plan.py for deterministic plan output.
  • Read references/finetune-guide.md for hyperparameter baseline guidance.

Guardrails

  • Keep run plans reproducible with explicit seeds and output directories.
  • Include evaluation and rollback criteria.
Usage Guidance
This skill appears to do what it says: generate finetuning run plans. Before installing or running it, consider: (1) review the bundled script yourself — it writes files to whatever output path you provide and can overwrite existing files, so avoid privileged/system paths; (2) prefer running with --dry-run first to inspect output without side effects; (3) do not pass secrets or credentials in the optional input JSON; (4) validate any datasets or metrics referenced (license/risk notes are included but not enforced); (5) because the platform allows autonomous invocation, restrict when/where the agent can run this skill if you want to avoid unexpected file writes. Overall the package is coherent and self-contained.
Capability Analysis
Type: OpenClaw Skill Name: dl-transformer-finetune Version: 0.1.0 The `scripts/build_finetune_plan.py` script takes user-controlled file paths for `--input` and `--output` arguments. This creates a vulnerability for potential arbitrary file read (limited to JSON-parsable files) and arbitrary file write on the local filesystem. While the script's intended purpose is benign (generating fine-tuning plans), this capability could be exploited by a malicious actor manipulating the agent's arguments to access or modify sensitive files. There is no evidence of intentional malicious behavior like data exfiltration or remote code execution within the script or prompt injection attempts in `SKILL.md`.
Capability Assessment
Purpose & Capability
The name/description match the included artifacts: SKILL.md, a finetune guidance doc, and a Python script that builds run plans and model-card skeletons. No unrelated binaries, env vars, or services are requested.
Instruction Scope
SKILL.md instructs the agent to run the bundled scripts and consult the reference guide; the script only reads an optional JSON input and writes an output file (json/md/csv). This stays within the stated purpose, but note the script will create/overwrite files at the provided output path and can load a user-specified input file (size-limited).
Install Mechanism
No install spec; this is instruction-only with a small included script. Nothing is downloaded or extracted from external URLs.
Credentials
No environment variables, credentials, or config paths are requested. The script does not access other system credentials or external services.
Persistence & Privilege
always:false and no modifications to other skills or system-wide settings. The skill can be invoked autonomously per platform defaults, but it does not request elevated or persistent privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install dl-transformer-finetune
  3. After installation, invoke the skill by name or use /dl-transformer-finetune
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.0
- Initial release of dl-transformer-finetune. - Generate reproducible fine-tuning run plans for transformer models. - Configure task settings, training hyperparameters, and evaluation cadence. - Output ready-to-use plans and model card templates for Hugging Face or PyTorch workflows. - Includes scripts and baseline guides to streamline fine-tuning setup and reproducibility.
Metadata
Slug dl-transformer-finetune
Version 0.1.0
License
All-time Installs 2
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is Dl Transformer Finetune?

Build transformer fine-tuning run plans with task settings, hyperparameters, and model-card outputs. Use for repeatable Hugging Face or PyTorch finetuning wo... It is an AI Agent Skill for Claude Code / OpenClaw, with 498 downloads so far.

How do I install Dl Transformer Finetune?

Run "/install dl-transformer-finetune" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Dl Transformer Finetune free?

Yes, Dl Transformer Finetune is completely free (open-source). You can download, install and use it at no cost.

Which platforms does Dl Transformer Finetune support?

Dl Transformer Finetune is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Dl Transformer Finetune?

It is built and maintained by Muhammad Mazhar Saeed (@0x-professor); the current version is v0.1.0.

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