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在 OpenClaw 中安装
/install paper-generator
功能描述
Automatically generate complete academic papers in Chinese or English from experimental code, supporting LaTeX templates and PDF conversion.
安全使用建议
This skill overpromises: SKILL.md and the description claim LaTeX template support, PDF conversion, and generating papers from experiment outputs, but the included script is only a stub that writes a title and placeholder abstract. Before installing or relying on this skill, inspect and test locally in a safe environment: 1) verify where 'paper-to-pdf' is supposed to come from (pandoc/pdflatex or an included converter) and whether those dependencies are required; 2) confirm how experiment data should be supplied (the current script has no option for input data); 3) if you need full functionality, ask the author for an implementation that renders templates, processes experiment files, and produces PDFs, or extend the script yourself; 4) avoid running code from unknown sources with elevated privileges and consider running it in a sandbox/container. The current files show no network activity or credential access, so the main risk is functional misrepresentation rather than data exfiltration. If you want, I can list the exact code changes needed to add experiment-input handling, template rendering, and PDF conversion.
能力评估
Purpose & Capability
The skill advertises generating full academic papers from experimental code, multi-template LaTeX support, and PDF conversion. The bundled paper-gen.py only writes a title and a placeholder abstract and ignores experiment data, template structure, references, and PDF output. No tooling (pandoc/pdflatex) or integration with experiment artifacts is requested or implemented.
Instruction Scope
SKILL.md instructs use of commands 'paper-gen' and 'paper-to-pdf' and shows examples for generating papers from experiments, but the instructions do not match the implementation: there is no 'paper-to-pdf' command provided, and paper-gen.py accepts no experiment input or data paths. The instructions overclaim capabilities and grant the agent broad discretion ('generate complete papers from experiment code') without specifying how experiment data is supplied.
Install Mechanism
There is no install spec and no external downloads; the skill is instruction-only with a single local Python script. This minimizes install-time risk. The code is small, readable, and contains no network calls or obfuscated code.
Credentials
The skill requests no environment variables, credentials, or config paths. That is proportionate given the implementation. There is no evidence it would attempt to access unrelated secrets or system configuration.
Persistence & Privilege
always is false and the skill does not request persistent or elevated privileges. It does not modify other skills or system configuration in the provided files.
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 paper-generator - 安装完成后,直接呼叫该 Skill 的名称或使用
/paper-generator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
v0.1.0
Initial release of paper-generator.
- Automatically generates full academic papers from experiment code.
- Supports both Chinese and English paper generation.
- Outputs include structured sections: abstract, introduction, methods, experiments, discussion, and conclusion.
- Converts generated papers to PDF format.
- Offers multiple LaTeX template options.
元数据
常见问题
Paper Generator 是什么?
Automatically generate complete academic papers in Chinese or English from experimental code, supporting LaTeX templates and PDF conversion. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 92 次。
如何安装 Paper Generator?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install paper-generator」即可一键安装,无需额外配置。
Paper Generator 是免费的吗?
是的,Paper Generator 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Paper Generator 支持哪些平台?
Paper Generator 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Paper Generator?
由 laojun(@laojun509)开发并维护,当前版本 v0.1.0。
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