Github Mckaywrigley Chatbot Ui
Repository: chatbot-ui
Author: mckaywrigley · Source status: Clear source
AI chat for any model.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: reachat
Author: reaviz·Source status: Clear source
💬 UI Building Blocks for LLM/Chat UIs.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
Pre-install score
87 · Manual review
One primary score for ranking and pre-install decisions; Evidence completeness 65%.
Risk decision
Review required
metadata-only
Install readiness
script-backed · copy-only command
SkillTrust only shows install guidance and copy actions; it never executes installs.
Before you install
Review source, permissions, and execution risk first, then alternatives. Scores prioritize review; they do not replace manual judgment.
Install guidance
This area handles the execution step: review explicit or inferred tool fit, then decide whether to copy commands.
Explicitly supported
Universal
Shown with the common install pattern for this tool.
git clone https://github.com/reaviz/reachat.gitReview source and permissions first. If no explicit command is available, start from the repository guidance.
Current risk hints: metadata-only
Audit main stage
This stage turns 15 audit dimensions into one pre-install score; the constellation only explains the gaps instead of becoming a second score.
The purpose is visible, but source, permissions, or install evidence needs checking.
Current advice
Review before install
Review source, permissions, and execution details before copying commands.
Execution profile
High
Check command, file-write, and network behavior first.
Evidence completeness
65%
This shows how much public evidence supports the score; it is not a safety certification.
Start with the overall shape and the weakest three items, then use the list below for full labels, scores, and actions.
Start here
Read the weakest three first, then move into the full 15-item list.
Full 15-dimension list
The default view starts from the lowest scores; switch to risk-first when you want severity before score.
Repository
reaviz/reachat
Author
reaviz
Community signal
211 stars · 25 forks
Favorites
0
Last updated
2026-03-18
Primary source
reaviz/reachat
Source status
Clear source
Install method
script-backed
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Repository: LLMs-from-scratch
Author: rasbt · Source status: Clear source
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Score basis:Clear source · High execution risk · Universal · Evidence completeness 65%
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Repository: pathway
Author: pathwaycom · Source status: Clear source
Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 67%
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Repository: llm-app
Author: pathwaycom · Source status: Clear source
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 67%
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