What is pubmed-skill?
56/100
Trust Score (D)
⚠️ Use Caution
pubmed-skill is a research that PubMed/PMC医学文献搜索技能. It has a Nerq Trust Score of 56/100 (D). 0 GitHub stars. Published by masa061580. Last analyzed September 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
56
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What pubmed-skill Does
pubmed-skill is a tool in the research category. PubMed/PMC医学文献搜索技能. It is published by masa061580 and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use pubmed-skill
pubmed-skill is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | masa061580 |
|---|---|
| Category | research |
| License | Not specified |
| Type | tool |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=pubmed-skill
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| gpt_academic | 61 | 70.1K |
| LlamaFactory | 80 | 67.8K |
| unsloth | 77 | 52.7K |
| storm | 59 | 27.9K |
| gpt-researcher | 64 | 25.4K |
Frequently Asked Questions
What is pubmed-skill used for?
pubmed-skill is a research tool. PubMed/PMC医学文献搜索技能.
Is pubmed-skill free?
License: Check project page. pubmed-skill has 0 GitHub stars.
Is pubmed-skill safe?
pubmed-skill has a Nerq Trust Score of 56/100 (D). Use with caution.
What are alternatives to pubmed-skill?
Top alternatives: gpt_academic, LlamaFactory, unsloth. See full comparison.
Safety Report Is It Safe?
Alternatives Prediction
Trending Leaderboard
Discover MCP Servers
Packages Models
Stats API
Last updated September 2026. Trust scores based on automated analysis of public data.