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Install in OpenClaw
/install paperbanana-dashscope
Description
Generate academic figures and scientific diagrams from paper text using a multi-agent pipeline powered by Alibaba Cloud DashScope (Qwen-VL + Wanxiang/Qwen-Im...
Usage Guidance
Proceed cautiously. Before installing or providing any API key: 1) Inspect the npm package and the linked GitHub repository (look at package.json, install/postinstall scripts, and the code that sends requests). 2) Do not reuse your primary OpenAI API key — create a dedicated key with minimal privileges or use a throwaway/test key. 3) Verify whether DashScope truly accepts an OpenAI-style key or if the package is repurposing your OpenAI key to talk to other services. 4) Prefer installing in a sandbox/container or examining the package source locally instead of installing globally. 5) If you cannot confirm why OPENAI_API_KEY is required for an Alibaba service, contact the package author or avoid installing.
Capability Analysis
Type: OpenClaw Skill
Name: paperbanana-dashscope
Version: 1.0.5
The skill bundle describes a legitimate CLI tool for generating academic figures using Alibaba Cloud's DashScope API. The instructions in SKILL.md and metadata in clawhub.json align with the stated purpose of research visualization, using standard configuration patterns (e.g., ~/.paperbanana-dashscope/config.yaml) and providing links to public npm and GitHub repositories.
Capability Assessment
Purpose & Capability
The skill claims to use Alibaba Cloud DashScope (Qwen-VL / Wanxiang / Qwen-Image) to generate academic figures, which matches the stated purpose. However, both SKILL.md and clawhub.json require an OPENAI_API_KEY (and the sample config uses openai_api_key). Requiring an OpenAI-style key for an Alibaba DashScope integration is unexpected and not explained in the docs — this mismatch is incoherent and worth verifying with the package author or upstream repo.
Instruction Scope
SKILL.md is an instruction-only CLI guide: it tells the user to install an npm package globally and to set an API key (OPENAI_API_KEY) or create a ~/.paperbanana-dashscope config. The instructions do not explicitly ask the agent to read unrelated system files or exfiltrate data. However, the runtime behavior depends entirely on the npm package (not included here), so the instructions alone cannot guarantee what the installed tool will do.
Install Mechanism
There is no install spec in the skill bundle itself (instruction-only). The README recommends npm install -g paperbanana-dashscope from npmjs.com and links a GitHub repo. Using npm and GitHub is a common install path, but global npm installation runs code on the host and may execute install scripts; you should inspect the package on npm/github before installing.
Credentials
Only OPENAI_API_KEY (required) and an optional DASHSCOPE_IMAGE_MODEL are declared. The required credential name (OPENAI_API_KEY) does not clearly match the declared provider (Alibaba DashScope). This raises two concerns: (1) the package may be asking users to reuse sensitive OpenAI keys for an unrelated third-party service, and (2) it may send that key to endpoints outside OpenAI. No other unrelated credentials are requested, but the mismatch is disproportionate and unexplained.
Persistence & Privilege
The skill does not request always: true, does not include install scripts in the skill bundle, and declares no required system config paths. It's user-invocable and allows model invocation (normal). There is no evidence the skill modifies global agent settings itself.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install paperbanana-dashscope - After installation, invoke the skill by name or use
/paperbanana-dashscope - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.5
新增 wan2.7-image 和 wan2.7-image-pro 支持。wan2.7-image 与 wan2.6 同价但提示词容量提升至 5000 字符，wan2.7-image-pro 支持 4K 输出。
v1.0.4
完全重写为原生 TypeScript CLI，零 Python 依赖。一条命令安装：npm install -g paperbanana-dashscope。新增 wan2.6-t2i / qwen-image-plus 等新模型支持。
v1.0.3
v1.0.3 (No code or documentation changes detected)
- No changes since the previous version.
- All usage, parameters, and setup remain the same.
v1.0.2
Version 1.0.2 of paperbanana-dashscope
- No code or documentation changes detected in this version.
- The SKILL.md and all implementation files remain unchanged from the previous release.
v1.0.1
首次发布。基于 PaperBanana/PaperVizAgent 的阿里云 DashScope 适配版，使用 qwen-vl-max 作为 VLM，wanx2.1-t2i-turbo 作为图像生成模型。支持从论文方法章节自动生成学术插图。
v1.0.0
首次发布。基于 PaperBanana/PaperVizAgent 的阿里云 DashScope 适配版，使用 qwen-vl-max 作为 VLM，wanx2.1-t2i-turbo 作为图像生成模型。支持从论文方法章节自动生成学术插图。
Metadata
Frequently Asked Questions
What is Clawhub Skill?
Generate academic figures and scientific diagrams from paper text using a multi-agent pipeline powered by Alibaba Cloud DashScope (Qwen-VL + Wanxiang/Qwen-Im... It is an AI Agent Skill for Claude Code / OpenClaw, with 142 downloads so far.
How do I install Clawhub Skill?
Run "/install paperbanana-dashscope" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Clawhub Skill free?
Yes, Clawhub Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Clawhub Skill support?
Clawhub Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Clawhub Skill?
It is built and maintained by yrjm (@zdywrnm); the current version is v1.0.5.
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