ResearchMonitor
v0.1.2Monitors research topics for new papers, conferences, and journals.
⭐ 1· 2.1k·2 current·2 all-time
by@eksubin
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 and description match what is implemented: a small local config (research_config.json), a helper script (scripts/daily_briefing.py) to manage topics/seen items/last-checked, and instructions to search the web for new items. Nothing requested or included (no env vars, no external credentials, no unrelated binaries) is disproportionate to monitoring research.
Instruction Scope
SKILL.md confines the agent to reading/updating the local config and to performing web searches (via the agent's search_web tool) against public sources (arXiv, IEEE Xplore, Google Scholar, X). There is no instruction to read unrelated system files or transmit the local config to remote endpoints. Note: the skill relies on the agent's web-search capability to fetch public content — how that is done depends on the agent environment (not the skill).
Install Mechanism
No install spec; instruction-only plus one small Python script included. No downloads, extract steps, or third‑party package installs are present.
Credentials
The skill requests no environment variables, no credentials, and only reads/writes a single local JSON config. There are no unexplained secrets or access requests beyond what the skill needs to track topics and seen items.
Persistence & Privilege
always is false (default). The skill only updates its own config file and does not attempt to modify other skills or global agent settings. It can be invoked autonomously per platform defaults, which is expected for this kind of helper.
Assessment
This skill appears internally consistent and low-risk: it reads and updates a local JSON (research_config.json) and runs a small Python helper included in the package. Before installing, confirm you trust the skill owner and that you are comfortable storing research topics locally in the skill directory. Ensure the agent environment has Python available and that the agent's web-search capability is acceptable for your privacy needs (the skill will perform web searches of public sources). If you prefer, inspect or edit research_config.json yourself rather than letting the agent write it, and restrict network access if you do not want automated web fetching. If you have sensitive topics you don't want logged, avoid storing them in the config.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.