Paper Feishu Digest

Community

chtc66

paper-feishu-digest

monitor recent arxiv papers and produce a chinese digest when the user needs a filtered paper watchlist, a ranked update for agent or rag related topics, or an optional feishu webhook push from recent cs.ai or cs.cl submissions.

Overview

Publisher	chtc66
Repository	`academic-skills`
Skill name	`paper-feishu-digest`
Stars	364
Forks	27
Bundled files	4
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by chtc66 on GitHub. Read the source before you install it.

Installation

Install the Paper Feishu Digest AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/chtc66/academic-skills/tree/main/paper-feishu-digest
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/chtc66/academic-skills.git /tmp/academic-skills
mkdir -p .claude/skills
cp -r /tmp/academic-skills/paper-feishu-digest .claude/skills/paper-feishu-digest

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paper Feishu Digest in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Paper Feishu Digest on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Paper Feishu Digest is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Paper Feishu Digest

用这个 skill 抓取最近时间窗口内的 arXiv 论文，按相关性做保守排序，生成中文速递，并在需要时推送到飞书 webhook。

默认场景

类别：cs.AI,cs.CL
时间窗口：24 小时
关键词：agent,reasoning,rag,safety review,安全评审
输出数量：top 10
输出语言：中文

工作流

优先调用 scripts/arxiv_digest.py 获取最近论文并生成结构化结果。
依据 references/message_template.md 组织最终消息格式。
如果需要发飞书，参考 references/operations.md 中的操作约束。

输入处理规则

接收类别、时间窗口、最大抓取数量、关键词、top-k、webhook 等参数。
如果用户没有给参数，使用默认场景。
如果用户只需要离线摘要，不要主动发 webhook。
如果 webhook 缺失或无效，继续输出 Markdown / JSON，不要静默失败。

输出规则

每篇论文至少输出：
- 标题
- 链接
- 摘要
- 核心贡献
- 局限
- 是否值得读
“核心贡献”“局限”“是否值得读”只能基于摘要做保守判断。
明确标注这是“基于 arXiv 摘要的快速筛选”，不是全文评审。

脚本使用

优先使用脚本，而不是手写抓取逻辑。

powershell
python paper-feishu-digest\scripts\arxiv_digest.py --hours 24 --top-k 10

常见参数：

--categories
--hours
--max-results
--top-k
--keywords
--webhook
--post
--json-out
--md-out

证据与表述约束

不要把摘要判断写成全文结论。
不要把“值得读”写成绝对推荐，给出简短理由。
如果 API 返回结果不足，明确告诉用户当前窗口内样本有限。

何时读引用文件

始终读取 references/message_template.md 以保持消息结构一致。
在执行 webhook 推送或说明运维约束时读取 references/operations.md。

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Paper Feishu Digest AI skill do?

Why use Paper Feishu Digest on TypingMind?

Because you install it once and use it with any model. Paper Feishu Digest is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Paper Feishu Digest in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chtc66/academic-skills/tree/main/paper-feishu-digest. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Paper Feishu Digest?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Paper Feishu Digest?

As many as you like. As long as a model supports skills, you can use Paper Feishu Digest with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Paper Feishu Digest AI skill free?

Yes. It is published on GitHub by chtc66 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Paper Feishu Digest

默认场景

工作流

输入处理规则

输出规则

脚本使用

证据与表述约束

何时读引用文件

Bundled files

Frequently asked questions

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