Live To 100
v1.0.0收集用户身体指标、生活习惯、既往病史和目标，生成可执行的长寿行动计划与分阶段复盘机制，并提供风险评分、自动周报/月报、保健品安全检查和每日饮食营养均衡分析（含热量缺口）。Use when users ask for longevity plans, healthy routine optimization, be...
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by@rq-wu
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 the included files: risk scoring, reminder timetable, nutrition analysis, and report generation are implemented by the provided reference docs and three Python scripts. No extraneous credentials, binaries, or unrelated capabilities are requested.
Instruction Scope
SKILL.md stays within the coaching scope: it collects health inputs, applies the risk model, builds plans, and uses local scripts when structured JSON is available. It explicitly avoids diagnosis and instructs to escalate emergencies. Note: the skill processes sensitive personal health data (vitals, meds, pregnancy/breastfeeding, labs); users should understand this privacy implication before supplying data.
Install Mechanism
No install spec — the skill is instruction-first and includes small, readable Python scripts that run locally. There are no network downloads, package install steps, or external binaries referenced in the manifest.
Credentials
The skill requests no environment variables, credentials, or config paths. The inputs it needs are personal health data provided by the user (via forms or JSON), which is appropriate for its function but sensitive in nature.
Persistence & Privilege
always is false, no special privileges are requested, and the skill does not modify other skills or system-wide agent settings. It runs as-needed and can be invoked by the user or agent normally.
Assessment
This skill appears to do what it says: it builds longevity plans, scores risk, produces reminder schedules, and runs local Python scripts to analyze nutrition and generate reports. Before installing or running: (1) Review the three scripts (analyze_daily_nutrition.py, generate_health_reports.py, generate_reminder_timetable.py) to confirm they will only process local JSON files you provide — they do not contain network calls. (2) Be aware you will be entering sensitive health data (vitals, meds, pregnancy status, labs). Only supply such data if you are comfortable with local processing and the platform's privacy policy. (3) The skill is advisory only and explicitly warns to seek emergency/clinical care when appropriate; do not treat outputs as medical diagnoses. (4) If you will run the scripts on a shared machine, consider isolating them (container/VM) and confirming no extra dependencies are installed. If you want higher assurance, ask the author for a provenance statement or run the scripts in a sandbox and inspect their I/O behavior.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.