← Back to Skills Marketplace
学术文献解读（轻松幽默解读枯燥文献）
by
wangjinhongmy-pixel
· GitHub ↗
· v1.0.0
· MIT-0
45
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install paper-buddy
Description
用轻松幽默的方式解读枯燥学术文献，让阅读变得有趣，像朋友聊天一样讲解复杂概念
Usage Guidance
This appears to be a straightforward, instruction-only 'paper buddy' that won't install code or request secrets. Before using: only paste or point it at documents you are comfortable sharing; if you provide a local file path, the agent may read that file (so don't point it at sensitive system files). Expect the agent to make web requests when you give URLs (e.g., arXiv) to check venue/author info. If you worry about autonomous network access or revealing unpublished/sensitive manuscripts, avoid giving URLs or pasting full text and instead paste only excerpts or ask for high-level summaries.
Capability Analysis
Type: OpenClaw Skill
Name: paper-buddy
Version: 1.0.0
The 'paper-buddy' skill is a set of instructions designed to help an AI agent interpret academic literature in a humorous and simplified manner. It includes a terminology dictionary, guidelines for reading charts/tables, and a structured workflow for evaluating paper quality (SKILL.md). While it suggests the agent can access local file paths or URLs provided by the user, these actions are directly aligned with its stated purpose as a reading assistant and show no signs of malicious intent or data exfiltration.
Capability Assessment
Purpose & Capability
Name/description (humorous paper reading and evaluation) align with the SKILL.md content: it explains papers, evaluates whether they're worth reading, accepts pasted text, URLs, or local file paths, and offers multiple explanation styles. There are no unrelated environment variables, binaries, or install steps requested.
Instruction Scope
The instructions ask the agent to perform a 'worth reading' evaluation (checking journal/venue, author background, research quality) and to read paper text supplied by the user (paste, URL, or local file path). This scope is appropriate for the stated purpose, but be aware that providing a local file path implies the agent will read that file if the platform allows it, and URL inputs imply network fetches to the referenced pages.
Install Mechanism
No install spec or code files are present. This is the lowest-risk model: nothing is downloaded or written by the skill package itself.
Credentials
The skill declares no environment variables, credentials, or config paths. Its stated operations (reading pasted text, fetching URLs, optionally reading a user-supplied file) do not require additional secrets or system-wide access.
Persistence & Privilege
always is false and the skill is user-invocable with normal autonomous invocation allowed. That is appropriate for this kind of assistant and is not combined with broad access to credentials or system config.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install paper-buddy - After installation, invoke the skill by name or use
/paper-buddy - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of paper-buddy.
- 解读枯燥学术文献，风格轻松幽默，像朋友陪聊一样讲解复杂概念
- 支持多种触发词和交互方式：粘贴内容、上传文件、网页链接、指定风格
- 内置通用AI/机器学习术语词典与论文表格/图表解读方法
- 强制先做“值得读评估”，帮你过滤水刊，节省时间
- 多种解读风格可选：吐槽、讲故事、小白、学霸等
- 支持个性化提示词，关注重点领域或指定输出风格
Metadata
Frequently Asked Questions
What is 学术文献解读（轻松幽默解读枯燥文献）?
用轻松幽默的方式解读枯燥学术文献，让阅读变得有趣，像朋友聊天一样讲解复杂概念. It is an AI Agent Skill for Claude Code / OpenClaw, with 45 downloads so far.
How do I install 学术文献解读（轻松幽默解读枯燥文献）?
Run "/install paper-buddy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 学术文献解读（轻松幽默解读枯燥文献） free?
Yes, 学术文献解读（轻松幽默解读枯燥文献） is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 学术文献解读（轻松幽默解读枯燥文献） support?
学术文献解读（轻松幽默解读枯燥文献） is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 学术文献解读（轻松幽默解读枯燥文献）?
It is built and maintained by wangjinhongmy-pixel (@wangjinhongmy-pixel); the current version is v1.0.0.
More Skills