← Back to Skills Marketplace
340
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install paperdaily
Description
每日从 arXiv 计算机科学论文中筛选高价值文献推荐
Usage Guidance
Before installing: (1) do not place real production Feishu App Secrets into node_modules/openclaw-paperdaily/.env until you review the package code; prefer storing secrets in a secure environment variable store or a .env in a controlled project root. (2) Ask the author for the source or the openclaw-paperdaily package code (or inspect the package from the npm registry) to confirm it only calls arXiv and Feishu APIs and does not exfiltrate data. (3) Verify that the Feishu app has minimal permissions and consider creating a dedicated test Feishu app for evaluation. (4) Prefer that the skill metadata declare required env vars and primary credential so reviewers and automated checks can see what secrets are needed. (5) If you cannot review the npm package, run the skill in an isolated sandbox and monitor network activity. If the package source proves benign (only arXiv queries and posting to Feishu), this assessment could be upgraded to benign.
Capability Analysis
Type: OpenClaw Skill
Name: paperdaily
Version: 1.0.0
The skill delegates all core logic to an external dependency (openclaw-paperdaily) and requires sensitive Feishu API credentials (FEISHU_APP_SECRET). Most notably, SKILL.md instructs users to store these credentials in a .env file located inside the node_modules directory, which is highly irregular and could be used to obscure sensitive data from standard project audits. The lack of transparency in the external package combined with unusual secret management practices poses a significant risk.
Capability Assessment
Purpose & Capability
The name/description match the actions described in SKILL.md (fetch arXiv CS papers, score and post recommendations to Feishu). Requesting Feishu credentials in SKILL.md is consistent with posting to a Feishu chat, but the repository metadata declares no required env vars or primary credential — that's an incoherence (the skill should have declared FEISHU_APP_ID/SECRET/CHAT_ID).
Instruction Scope
SKILL.md instructs running npm install and creating a .env with sensitive Feishu credentials inside node_modules/openclaw-paperdaily/.env. Asking users to place secrets inside node_modules is unusual and increases risk (files under node_modules are mutable by installs/updates). The instructions do not show what network endpoints the third‑party package calls, nor include the package code to inspect, so the agent would run code fetched from npm without full visibility.
Install Mechanism
There is no formal install spec in the registry, but package.json depends on openclaw-paperdaily from the npm ecosystem; SKILL.md explicitly tells users to run npm install. That means arbitrary code will be pulled from the public npm registry at install time — moderate risk because the dependency is not vendored and its source is not included in this bundle for review.
Credentials
SKILL.md requires FEISHU_APP_ID, FEISHU_APP_SECRET and FEISHU_CHAT_ID which are appropriate for sending messages to Feishu. However the skill metadata does not declare these required env vars (mismatch). Also instructing users to store the App Secret inside node_modules/.env is poor practice and increases the chance of accidental disclosure or exfiltration.
Persistence & Privilege
The skill is not always-enabled and does not request system-wide config. However installation writes files into the skill folder and node_modules (per SKILL.md). This creates persistent credentials stored alongside installed code and increases the impact if the fetched npm package contains malicious code. The skill does not request elevated platform privileges in metadata.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install paperdaily - After installation, invoke the skill by name or use
/paperdaily - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- 首发版本,自动筛选并每日推荐高价值 arXiv 计算机科学论文
- 支持通过「今日文献」及「刷新文献」触发获取推荐
- 评分综合论文新鲜度、关键词匹配与信息量,提升推荐质量
- 提供缓存机制,支持强制刷新
- 可自定义筛选关键词、时区和缓存时长
- 详细飞书集成与配置说明
Metadata
Frequently Asked Questions
What is PaperDaily?
每日从 arXiv 计算机科学论文中筛选高价值文献推荐. It is an AI Agent Skill for Claude Code / OpenClaw, with 340 downloads so far.
How do I install PaperDaily?
Run "/install paperdaily" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is PaperDaily free?
Yes, PaperDaily is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does PaperDaily support?
PaperDaily is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created PaperDaily?
It is built and maintained by xyc5872 (@xyc5872); the current version is v1.0.0.
More Skills