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Install in OpenClaw
/install pyomnits
Description
Provides guidance on using PyOmniTS for time series analysis, including docs, key concepts, code patterns, pitfalls, and replicating models, datasets, and lo...
Usage Guidance
This skill is a coherent how-to for adapting code into a local PyOmniTS installation, but it assumes you or the agent will clone repositories and copy files into your project. Before using it: (1) confirm the correct ${PYOMNITS_PATH} and back up the target project directories; (2) inspect any external repository code you clone (read source, check tests, review license) before copying it into your project; (3) perform operations in an isolated environment (virtualenv/conda, container, or non-production machine); (4) prefer writing adaptor wrappers rather than overwriting core files; (5) avoid running untrusted install/run scripts as root and consider scanning new code with your security tools. If you want, provide the agent a sandbox path or upload the repo so it can suggest edits without directly modifying your main project.
Capability Analysis
Type: OpenClaw Skill
Name: pyomnits
Version: 1.0.0
The SKILL.md file contains instructions that direct the AI agent to perform high-risk operations, including cloning remote repositories via 'git clone' and manipulating the local filesystem using 'cp' commands. While these actions are contextually related to the PyOmniTS framework's goal of adapting time-series models, they grant the agent broad, unvalidated execution and file-write capabilities. This pattern of instructing an agent to execute shell-like commands on external or inferred content represents a significant security risk that could be exploited for arbitrary code execution or unauthorized file manipulation.
Capability Assessment
Purpose & Capability
Name/description (PyOmniTS usage and replication guidance) match the instructions: links to docs, code structure explanations, and stepwise guidance for adapting models/datasets/losses into a local PyOmniTS installation are expected and coherent.
Instruction Scope
The SKILL.md explicitly instructs the agent to clone external repositories and to copy files into user paths under ${PYOMNITS_PATH} (using cp) and to modify launch scripts. Those operations are within the stated purpose (adapting external code into PyOmniTS) but they involve network retrieval of third-party code and direct filesystem writes. The instructions do not instruct the agent to vet, sandbox, or back up files before copying — this is a safety concern to be aware of but not an incoherence with the skill's purpose.
Install Mechanism
No install spec or downloads are declared; the skill is instruction-only and relies on standard developer tools (git, cp). This is proportionate to a documentation/advice skill.
Credentials
The skill requests no environment variables, credentials, or config paths beyond a user-supplied ${PYOMNITS_PATH}. There are no disproportionate credential requests.
Persistence & Privilege
always is false and the skill is user-invocable. It does advocate modifying project files on disk, but it does not request persistent platform privileges or modify other skills or agent-wide configuration.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install pyomnits - After installation, invoke the skill by name or use
/pyomnits - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of PyOmniTS skill for time series analysis.
- Provides quick links to official PyOmniTS documentation and code repositories.
- Explains key concepts, naming conventions, and code structure for models, datasets, and loss functions.
- Outlines replication workflow for adapting new models, datasets, or loss functions into PyOmniTS.
- Lists common pitfalls, best practices, and references to useful example scripts.
Metadata
Frequently Asked Questions
What is PyOmniTS Usage Guide For Time Series Analysis?
Provides guidance on using PyOmniTS for time series analysis, including docs, key concepts, code patterns, pitfalls, and replicating models, datasets, and lo... It is an AI Agent Skill for Claude Code / OpenClaw, with 132 downloads so far.
How do I install PyOmniTS Usage Guide For Time Series Analysis?
Run "/install pyomnits" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is PyOmniTS Usage Guide For Time Series Analysis free?
Yes, PyOmniTS Usage Guide For Time Series Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does PyOmniTS Usage Guide For Time Series Analysis support?
PyOmniTS Usage Guide For Time Series Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created PyOmniTS Usage Guide For Time Series Analysis?
It is built and maintained by Ladbaby (@ladbaby); the current version is v1.0.0.
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