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版本数
在 OpenClaw 中安装
/install tensorflow
功能描述
Avoid common TensorFlow mistakes — tf.function retracing, GPU memory, data pipeline bottlenecks, and gradient traps.
安全使用建议
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.
功能分析
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.
能力评估
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).
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 tensorflow - 安装完成后，直接呼叫该 Skill 的名称或使用
/tensorflow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
v1.0.0
Initial release
元数据
常见问题
TensorFlow 是什么？
Avoid common TensorFlow mistakes — tf.function retracing, GPU memory, data pipeline bottlenecks, and gradient traps. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 1097 次。
如何安装 TensorFlow？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install tensorflow」即可一键安装，无需额外配置。
TensorFlow 是免费的吗？
是的，TensorFlow 完全免费（开源免费），可自由下载、安装和使用。
TensorFlow 支持哪些平台？
TensorFlow 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（linux, darwin, win32）。
谁开发了 TensorFlow？
由 Iván（@ivangdavila）开发并维护，当前版本 v1.0.0。
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