Github Pathwaycom Llm App
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 · Risk needs review · Universal
Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Comparison matrix
Highlights show current best; tooltip explains diff/best rules.
SAS-v2.1 diff rules / risk tag notes
Start with the matrix. Open this section when you need to understand audit grades, top threats, control gaps, and best-value highlights.
Suggested baseline
Search to add skills, or paste 2–4 comma-separated slugs.
How differences are detected
A row is marked different when selected skills have distinct values. Only-differences mode hides rows that are identical.
How best values are highlighted
Audit score, evidence confidence, trust score, and community signal prefer higher values; execution risk and install friction prefer lower values.
How to read risk tags
Risk tags come from SAS-v2.1 public-evidence signals and point to command, network, secret, context, or supply-chain items to review before install.
Selected audit signals
vertex-ai-samples
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
App Connectors
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
Aliyun Opensearch Search
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | vertex-ai-samples | App Connectors | Aliyun Opensearch Search |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Audit grade | C · Review first | C · Review first | D · Limited evidence |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, identity privilege abuse, data exfiltration |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command | Permission review, Network, Secrets, Command |
Evidence confidence | 65% | 65% | 69% |
| Source & provenance | |||
Provenance | GoogleCloudPlatform/vertex-ai-samples | openclaw/skills | openclaw/skills |
Category | Automation & Workflows | Integrations & Connectors | Knowledge & RAG |
Freshness | |||
| Risk & trust | |||
Trust score | 92 | 85 | 85 |
Audit signals | metadata-only | needs credentials, network access, runs shell | network access, runs shell, writes files |
| Install & compatibility | |||
Supported tools | Universal | Universal | Claude, Codex |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 697 | 0 | 0 |
Repository: claude-code-router
Author: musistudio · Source status: Clear source
Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.
Score basis:Clear source · Risk needs review · Universal
Repository: llm-course
Author: mlabonne · Source status: Clear source
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Score basis:Clear source · Risk needs review · Universal
Repository: context7
Author: upstash · Source status: Clear source
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
Score basis:Clear source · Risk needs review · Universal
Repository: claude-cookbooks
Author: anthropics · Source status: Clear source
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
Score basis:Clear source · Risk needs review · Universal
Repository: langextract
Author: google · Source status: Clear source
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
Score basis:Clear source · Risk needs review · Universal
2026-04-14 |
2026-03-31 |
2026-04-02 |
Permission hints |
|---|
repository clone |
verify source provenance before install |
verify source provenance before install |
75 |
65 |
50 |