medical-doctor
v1.0.0当用户需要根据主诉、病史、地区和就诊偏好，推荐最合适的医院与医生，并在可行时生成模拟挂号与陪诊安排时使用。
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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 (doctor/hospital recommendation + simulated registration/escort) match the included files: SKILL.md, reference docs, schemas, mock data, and scripts/recommend.py. The code and docs implement filtering, scoring, and simulated booking/escort consistent with the stated purpose. (Minor metadata mismatch: SKILL.md lists version 0.1.0 while registry metadata lists 1.0.0 — cosmetic, not a functional concern.)
Instruction Scope
Runtime instructions limit actions to collecting user clinical/profile info, consulting local reference docs, and running scripts/recommend.py against bundled mock data. The skill processes sensitive user health data (chief complaint, history, age, region) but does not instruct reading unrelated system files or environment variables. Note: because it handles personal health information, treat outputs as sensitive and do not feed real patient identifiers into the sample/mock-only workflow unless you audit data handling and privacy.
Install Mechanism
No install specification; skill is delivered as files (SKILL.md + script + data). No downloads, package installs, or archive extraction are present. scripts/recommend.py is a local Python script that reads bundled JSON files — no network calls or subprocess execution are used.
Credentials
The skill declares no required environment variables, no credentials, and no config paths. The included code likewise does not read environment variables or secret files. This is proportionate to the described functionality (local recommendation + simulated booking).
Persistence & Privilege
always is false and the skill is user-invocable; it does not request persistent agent-wide privileges or modify other skills. It does not persist external credentials or install background services.
Assessment
This skill is coherent and implements what it claims: local recommendation logic and simulated booking using bundled mock data and a Python script. Before installing or using it with real users: (1) remember it processes sensitive health information — avoid supplying real patient identifiers unless you review and adapt the code for proper privacy/security and compliance; (2) the current implementation uses only local mock data and does not call external APIs, but if you (or someone else) modify it to integrate real booking or escort services you will need to provide external credentials and re-evaluate those changes; (3) the skill explicitly marks simulated bookings/escorts and is not a replacement for clinical diagnosis — continue to surface emergency instructions when appropriate. If you want higher assurance, review scripts/recommend.py and any future changes for network calls, credential use, or attempts to read system files.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.