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在 OpenClaw 中安装
/install pandas
功能描述
Analyze, transform, and clean DataFrames with efficient patterns for filtering, grouping, merging, and pivoting.
安全使用建议
This skill appears coherent and low-risk: it is an instruction-only pandas helper that will create and read ~/pandas/memory.md and optional snippets. Before installing, consider: (1) Are you comfortable with a small preferences file being created in your home directory? Review its contents if you store sensitive context. (2) Ensure python3 is available on the system. (3) Although the skill says it won't send data externally, this is a behavioral claim in text — avoid using sensitive secrets or production credentials in example data unless you verify the agent environment's network restrictions. (4) If you want extra isolation, run the skill under a separate user account or in a sandboxed environment. Overall, the skill is internally consistent with its stated purpose.
功能分析
Type: OpenClaw Skill
Name: pandas
Version: 1.0.1
The OpenClaw Pandas skill bundle is benign. All files consistently describe a skill designed to assist with Pandas operations, storing user preferences locally in `~/pandas/memory.md` and explicitly stating that no data is sent externally or uploaded to any service. The `SKILL.md` file provides clear security assurances, indicating the skill does not access files outside its designated directory or modify source data without explicit instruction. There are no prompt injection attempts to subvert the agent's behavior, no malicious execution patterns, and no signs of data exfiltration or persistence mechanisms.
能力评估
Purpose & Capability
Name/description (Pandas helper) align with requirements and instructions. Requesting python3 is expected and there are no unrelated binaries, env vars, or config paths.
Instruction Scope
SKILL.md focuses on local DataFrame operations and storing preferences in ~/pandas/memory.md. This is coherent, but the skill reads/writes a folder in the user's home and the working directory — users should be aware preferences and any saved snippets live on disk. The instructions assert 'no external upload' and 'no access outside ~/pandas/ and the working directory'; those are behavioral constraints in prose (not technically enforced), so trust is required.
Install Mechanism
No install spec or downloaded code — instruction-only skills write nothing beyond the documented ~/pandas/ memory files. This is low-risk compared with bundles that fetch remote binaries.
Credentials
The skill requests no credentials, env vars, or config paths. That is proportionate for a local pandas helper.
Persistence & Privilege
always is false and the skill stores only its own memory under ~/pandas/. It does not request persistent system-wide privileges or modify other skills. Autonomous invocation is allowed (platform default) but not a red flag here.
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 pandas - 安装完成后,直接呼叫该 Skill 的名称或使用
/pandas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
v1.0.1
Initial release
v1.0.0
Initial release
元数据
常见问题
Pandas 是什么?
Analyze, transform, and clean DataFrames with efficient patterns for filtering, grouping, merging, and pivoting. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 1169 次。
如何安装 Pandas?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install pandas」即可一键安装,无需额外配置。
Pandas 是免费的吗?
是的,Pandas 完全免费(开源免费),可自由下载、安装和使用。
Pandas 支持哪些平台?
Pandas 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 Pandas?
由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.1。
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