Security audit of drpwchen/paper-radar · Claude Skill by drpwchen · ★ 95
Yes — paper-radar passed AgentSkillsHub's rule-based security scan with no dangerous patterns detected. As with any third-party skill, confirm what credentials it requests before production use.
What it is: 論文學習雷達 — a personal literature-tracking & learning radar: dozens of journal/PubMed feeds → interest-scored → private web triage → flows into your notes. Discovery end of a pipeline: pair with paper-fetch (full-text download) and paper-review-and-digest (appraisal/digest).
No dangerous patterns were detected: no credential exfiltration, no obfuscated downloads, no sandbox-escape attempts, no prompt-injection markers.
| Security grade | ✓ SAFE |
| Quality score | 63/100 |
| GitHub stars | 95 |
| Language | Python |
| License | MIT |
| Last updated |
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This is AgentSkillsHub's free basic audit: an automated rule-based scan covering SlowMist's 11 red-flag categories (credential exfiltration, obfuscated payloads, sandbox escape, prompt injection, and more) across 130,000+ open-source AI agent skills and MCP servers, refreshed every 8 hours. A SAFE grade is a scan result, not a guarantee — deep 5-dimension audits (code · credentials · vendor · supply-chain · operational) are available for enterprise. Audited: 2026-07-26.