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Install in OpenClaw
/install tensorflow
Description
Avoid common TensorFlow mistakes — tf.function retracing, GPU memory, data pipeline bottlenecks, and gradient traps.
Usage Guidance
This skill is instruction-only (no downloads or code) and provides TensorFlow debugging tips — low risk. Note source/homepage are not provided, so you can't verify the author; that matters more for code that would be installed. Before following commands: ensure you run them in a controlled environment where you have permission (e.g., your development VM or container), verify TensorFlow version compatibility, and cross-check the snippets with official TensorFlow docs. Do not provide any credentials to this skill (none are requested). If you want even lower risk, manually copy the relevant advice rather than allowing an agent to act autonomously on your environment.
Capability Analysis
Type: OpenClaw Skill
Name: tensorflow
Version: 1.0.0
The skill bundle is benign. The `_meta.json` file contains standard metadata. The `SKILL.md` file provides informational content about TensorFlow best practices and common mistakes. It declares `python3` as a required binary, which is appropriate for a TensorFlow-related skill. There are no instructions for the agent to perform any actions, no evidence of prompt injection, data exfiltration, malicious execution, persistence, or obfuscation.
Capability Assessment
Purpose & Capability
The name/description match the SKILL.md content. The only required binary is python3, which is reasonable for TensorFlow guidance; there are no unrelated env vars, binaries, or config paths requested.
Instruction Scope
SKILL.md contains best-practice notes and code snippets (tf.function, GPU memory settings, tf.data, gradients, saving). It does not instruct reading user files, secrets, or sending data to external endpoints. It mentions CUDA_VISIBLE_DEVICES as a common testing env var but does not attempt to read or exfiltrate secrets.
Install Mechanism
No install spec or code files are present; this is instruction-only, so nothing is downloaded or written to disk by the skill itself (lowest install risk).
Credentials
The skill declares no required environment variables or credentials. It references a common runtime env var (CUDA_VISIBLE_DEVICES) in examples but does not require or request any secrets or unrelated credentials.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request persistent presence or system-wide configuration changes. disable-model-invocation is false (normal platform default).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install tensorflow - After installation, invoke the skill by name or use
/tensorflow - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Frequently Asked Questions
What is TensorFlow?
Avoid common TensorFlow mistakes — tf.function retracing, GPU memory, data pipeline bottlenecks, and gradient traps. It is an AI Agent Skill for Claude Code / OpenClaw, with 1097 downloads so far.
How do I install TensorFlow?
Run "/install tensorflow" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is TensorFlow free?
Yes, TensorFlow is completely free (open-source). You can download, install and use it at no cost.
Which platforms does TensorFlow support?
TensorFlow is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).
Who created TensorFlow?
It is built and maintained by Iván (@ivangdavila); the current version is v1.0.0.
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