femboy-skill
Provides specialized guidance for underserved communities with medical safety guardrails, reducing risk of harm from unreliable information sources.
面向 MTF、crossdresser 与性别多元成年人的中文 Agent Skill,基于生如夏花知识库并加入医学安全护栏。
- Ask Claude to provide medical safety information for transition-related health decisions
- Generate resources and community guidance for gender-diverse adults in Chinese
- Find evidence-based health considerations for hormone therapy and transition planning
Provides specialized guidance for underserved communities with medical safety guardrails, reducing risk of harm from unreliable information sources.
Organizations building inclusive AI systems serving Chinese-speaking transgender and gender-diverse adult populations.
https://github.com/KurosawaGeeker/femboy-skill
By KurosawaGeeker
How to Get It
claude plugins install KurosawaGeeker/femboy-skill
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Provide medical safety information for transition-related health decisions
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 90 GitHub stars; contributors unknown; last commit 0d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 90 GitHub stars; contributors unknown; last commit 0d ago; license no license.