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在 OpenClaw 中安装
/install paper2diagram
功能描述
论文 PDF → 方法/结构抽取 → 学术评审式总结 → 多张论文风格配图（依托 Gemini + nano_banana 网关）。
安全使用建议
This skill is an instruction-only wrapper that expects you to host or clone the actual workflow repository and to supply Gemini and Banana API keys. Before using it: (1) inspect and clone the referenced repo locally and review its code; (2) run it in an isolated environment (virtualenv/container); (3) only point GEMINI_BASE_URL / BANANA_PRO_BASE_URL to gateways you control or trust — the skill will send PDFs to whatever gateway you configure; (4) prefer local outputs/ copies of generated images rather than relying only on external temporary URLs; (5) limit API key permissions and rotate keys if you test with sensitive data. The skill appears coherent with its purpose, but you should verify the external repo and gateway behavior before running on confidential PDFs.
能力评估
Purpose & Capability
Name/description match what the skill requests: it needs a Gemini API key and a Banana/nano_banana key to call LLM/image gateways and python3 to run a local workflow. Those credentials are proportional to producing summaries and images.
Instruction Scope
SKILL.md instructs the agent to read a local PDF and run a local Python module (python -m app.openclaw_main ...). That stays within the stated purpose, but the skill is instruction-only and expects you to clone a separate repo containing app.openclaw_main; without that repo the command will fail. The doc also suggests sending the PDF to the configured gateway(s) — you must trust those gateways before uploading sensitive PDFs.
Install Mechanism
No install spec (instruction-only) — nothing will be written by the skill itself. The README instructs you to clone an external repository and install dependencies locally; that is an explicit user action rather than an automated install.
Credentials
Declared required env vars are GEMINI_API_KEY and BANANA_PRO_API_KEY, which align with the stated integrations. SKILL.md additionally documents several optional env vars (GEMINI_BASE_URL, GEMINI_MODEL, BANANA_PRO_BASE_URL, BANANA_MODEL, ENABLE_BANANA) that are not listed in requires.env — a mild inconsistency. No unrelated credentials or config paths are requested.
Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges. It does instruct running local Python code and writing images to an outputs/ directory, which is expected and limited to its own scope.
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 paper2diagram - 安装完成后，直接呼叫该 Skill 的名称或使用
/paper2diagram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
v1.0.2
Chinese docs + safer metadata (declare BANANA_PRO_API_KEY).
v1.0.1
Add quick usage example to SKILL.md.
v1.0.0
Initial release of paper2diagram.
- Reads local paper PDFs, extracts Method/Architecture sections, and summarizes content like a senior reviewer.
- Generates publication-style academic figures covering background, architecture, innovations, experiments, and limitations using Gemini + nano_banana.
- Saves all generated diagrams to a local outputs/ directory.
- Requires Python 3, internet access, and API keys for Gemini and nano_banana.
- Designed for integration with OpenClaw; includes setup and usage instructions.
元数据
常见问题
Paper2diagram 是什么？
论文 PDF → 方法/结构抽取 → 学术评审式总结 → 多张论文风格配图（依托 Gemini + nano_banana 网关）。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 102 次。
如何安装 Paper2diagram？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install paper2diagram」即可一键安装，无需额外配置。
Paper2diagram 是免费的吗？
是的，Paper2diagram 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Paper2diagram 支持哪些平台？
Paper2diagram 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 Paper2diagram？
由 QBC-OIO（@qbc-oio）开发并维护，当前版本 v1.0.2。
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