arxiv-daily
v0.9.1每日 arXiv 论文获取加整理技能。当用户想要获取每日 arXiv 论文相关领域论文、设置论文订阅、管理论文推送时间、添加新的论文领域时触发。也用于用户询问"arxiv"、"每日论文"、"论文推送"等相关话题时。
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description match the included assets: fetch.py scrapes arXiv lists and abs pages and saves per-category daily text files. No unrelated credentials, binaries, or external services are requested.
Instruction Scope
SKILL.md describes both fetching (handled by scripts) and summary generation/pushing (intended to be done by the agent). The provided scripts only perform fetching and saving of raw text; pushing, scheduling, translation, cleaning, and MD-generation are described as agent tasks and are not implemented in code. This is plausible for an instruction-first skill, but users should know the agent (not the scripts) performs those steps.
Install Mechanism
There is no packaged installer. run.sh will attempt to pip3 install requests and beautifulsoup4 if missing (standard but modifies the Python environment). No downloads from arbitrary URLs or extract operations are present.
Credentials
The skill requires no environment variables, credentials, or config paths. SKILL.md suggests configuring push channels (e.g., WeCom) but the skill does not request channel secrets — those would come from the agent/platform context if used.
Persistence & Privilege
The skill is not always: true and doesn't request special system privileges. It writes output files to the user-specified save_path and expects the agent to manage timers; no attempts to modify other skills or system-wide configs are present.
Assessment
This skill scrapes arXiv and saves daily paper data locally; it does not require any API keys. Notes before installing:
- The included run.sh may pip3 install requests and beautifulsoup4 if missing — be comfortable with that modifying your Python environment or run it inside a virtualenv.
- The scripts only fetch and save raw paper data; summary generation, translation, cleanup, and sending to chat channels are described in SKILL.md as tasks for the agent (not implemented in code). You will need to configure timers/cron and channel push logic in the agent/platform.
- Files are written to the save_path you provide — review where data will be stored and ensure it meets your privacy/retention needs.
- If you operate in a restricted environment, run the scripts in a sandbox first to verify behavior and network access. If you expect automatic pushing to external services, confirm the agent/platform will supply any required credentials securely (this skill does not request them).Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.