What is ampskills-dotfile?
54/100
Trust Score (D)
⚠️ Use Caution
ampskills-dotfile is a coding that A skill for formatting commits.. It has a Nerq Trust Score of 54/100 (D). 0 GitHub stars. Published by jeninh. 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
54
TRUST SCORE
D
GRADE
0
STARS
0
DOWNLOADS
What ampskills-dotfile Does
ampskills-dotfile is a tool in the coding category. A skill for formatting commits.. It is published by jeninh and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use ampskills-dotfile
ampskills-dotfile is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | jeninh |
|---|---|
| Category | coding |
| 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=ampskills-dotfile
Setup guide · Full safety report · Production review · Is it safe?
Safer Alternatives
| Tool | Trust | Stars |
|---|---|---|
| AutoGPT | 65 | 181.9K |
| ollama | 64 | 163.0K |
| langchain | 77 | 127.8K |
| system-prompts-and-models-of-ai-tools | 64 | 115.3K |
| opencode | 78 | 108.1K |
Frequently Asked Questions
What is ampskills-dotfile used for?
ampskills-dotfile is a coding tool. A skill for formatting commits..
Is ampskills-dotfile free?
License: Check project page. ampskills-dotfile has 0 GitHub stars.
Is ampskills-dotfile safe?
ampskills-dotfile has a Nerq Trust Score of 54/100 (D). Use with caution.
What are alternatives to ampskills-dotfile?
Top alternatives: AutoGPT, ollama, langchain. See full comparison.
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Last updated September 2026. Trust scores based on automated analysis of public data.