smyx-smoking-detection-analysis@1.0.17
CAUTIONPublisher claims: "Automatically detects smoking behavior in target areas based on computer vision; supports real-time detection of video streams, images, and video files; identifies violation smoking behavior and triggers violation alerts, assisting in smoking control safety management for parks/communities/units. | 公共场所吸烟行为智能检测技能,基于计算机视觉自动检测目标区域内的吸烟行为,支持视频流、图片、视频文件实时检测,识别违规吸烟行为,触发违规预警,助力园区/社区/单位控烟安全管理" Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario) on 2026-10-29 and scored it 76/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Notable findings: Outbound HTTP to raw IP address; Outbound HTTP to raw IP address; Outbound HTTP to raw IP address. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
What would make this Verified
4 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim smyx-sunjinhui: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.
- Outbound HTTP to raw IP address≈ +4 on the totalReplace encoded or assembled strings with plain literals and remove undeclared network calls.
- Hidden zero-width characters detected≈ +4 on the totalKeep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.
- New publisher≈ +3 on the totalTime clears this on its own after 14 and 30 days. Claiming the handle (+50) is the fastest way past it.
- URL using raw IP address≈ +2 on the totalReplace encoded or assembled strings with plain literals and remove undeclared network calls.
- Python subprocess execution detected≈ +2 on the totalBuild commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.