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.
Selected skills (2/4)
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
logger
Execution risk:High
Threat tags:prompt injection, tool poisoning, unexpected code execution
Control gaps:missing license, broad permissions, shell without guardrails
ultimate-prompt-engineering-playbook
Execution risk:High
Threat tags:prompt injection, tool poisoning, unexpected code execution
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | logger | ultimate-prompt-engineering-playbook |
|---|---|---|
| SAS-v2.1 pre-install audit | ||
Audit grade | C · Review first | C · Review first |
Execution risk | High | High |
Threat tags | prompt injection, tool poisoning, unexpected code execution | prompt injection, tool poisoning, unexpected code execution |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Command |
Evidence confidence | 69% | 67% |
| Source & provenance | ||
Provenance | smol-ai/logger | amerob/ultimate-prompt-engineering-playbook |
Category | Dev & Engineering | Dev & Engineering |
Freshness | 2024-03-28 | |
| Risk & trust | ||
Trust score | 67 | 82 |
Audit signals | No explicit signals | No explicit signals |
Permission hints | ||
| Install & compatibility | ||
Supported tools | Universal | Universal |
Install method | script-backed | script-backed |
Install friction | ||
| Community | ||
Stars | 148 | 19 |
Repository: Promet
Author: Tripadh · Source status: Clear source
Promet is an AI-powered prompt engineering and optimization platform that helps users generate, refine, and evaluate high-quality prompts for better AI outputs.
Score basis:Clear source · Low risk signals · Universal
Repository: Claude-Code-Agent-Monitor
Author: hoangsonww · Source status: Clear source
A real-time monitoring dashboard for Claude Code agents, built with SQLite3, Node.js, Express, React, Vite, TailwindCSS, and WebSockets.
Score basis:Clear source · High risk signals · Universal
Repository: rox
Author: BeWelcome · Source status: Clear source
:earth_africa: BeWelcome lets you share a place to stay, connect with travellers, meet up and find accommodation on your journey.
Score basis:Clear source · Low risk signals · Universal
Repository: NVIDIA-Nemotron-3-Super
Author: cobusgreyling · Source status: Clear source
Controllable reasoning demos for NVIDIA Nemotron 3 Super (120B/12B MoE) — chat UI, CLI, API server, tool calling, budget sweep, and adaptive routing Topics: gradio, llm, mixture-of-experts, moe, nemotron, nim, nvidia, re
Score basis:Clear source · Low risk signals · Universal
repository clone, local runtime dependencies |
repository clone, local runtime dependencies |
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