Agentic Ai Engineering
Repository: agentic-ai-engineering
Author: agenticloops-ai · Source status: Clear source
Hands-on tutorials for building AI agents from scratch.
Score basis:Clear source · Low risk signals · 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
lagent
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
gram
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
NVIDIA-Nemotron-3-Super
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | lagent | gram | NVIDIA-Nemotron-3-Super |
|---|---|---|---|
| Source & provenance | |||
Provenance | InternLM/lagent | speakeasy-api/gram | cobusgreyling/NVIDIA-Nemotron-3-Super |
Freshness | 2026-04-07 | 2026-04-08 | 2026-04-02 |
| Risk & trust | |||
Trust score | 72 | 82 | 82 |
| Community | |||
Stars | 2.2K | 226 | 26 |
Repository: HuixiangDou
Author: InternLM · Source status: Clear source
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
Score basis:Clear source · Risk needs review · Universal
Repository: posthog
Author: PostHog · Source status: Clear source
🦔 PostHog is an all-in-one developer platform for building successful products.
Score basis:Clear source · High risk signals · Universal