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.
Score-basis 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
Repository: SecureBank-CLI
Author: SagarBiswas-MultiHAT · Source status: Clear source
SecureBank-CLI; A compact C++17 command-line banking simulator demonstrating secure credential handling, atomic JSON/JSONL persistence, audited transactions, and safe defaults (no overdrafts).
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
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
Pre-install score, evidence completeness, 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
ChatAutomation-AI-Assistant
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
crawlee
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
Ai-Resume-Analyzer
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | ChatAutomation-AI-Assistant | crawlee | Ai-Resume-Analyzer |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 79 · Manual review | 81 · Manual review | 82 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, human approval gap |
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, Command | Permission review, Network, Command |
Evidence completeness | 65% | 68% | 65% |
| Source & provenance | |||
Provenance | SagarBiswas-MultiHAT/ChatAutomation-AI-Assistant | apify/crawlee | SagarBiswas-MultiHAT/Ai-Resume-Analyzer |
Category | Dev & Engineering | Web & Automation | Web & Automation |
Freshness | |||
| Risk & permission signals | |||
Audit signals | No explicit signals | network access, writes files | network access, writes files |
Permission hints | repository clone, local runtime dependencies | repository clone, local runtime dependencies | repository clone, local runtime dependencies |
| Install & compatibility | |||
Supported tools | Universal | Universal | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 20 | 22.7K | 13 |
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 · High execution risk · Universal · Evidence completeness 65%
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 · High execution risk · Universal · Evidence completeness 65%
Repository: tool_calling_api
Author: Shuyib · Source status: Clear source
This project demonstrates function-calling with Python and Ollama, utilizing the Africa's Talking API to send airtime and messages to phone numbers using natural language prompts.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: ArcGIS-JavaScript-AI-Component
Author: ralouta · Source status: Clear source
A production-style demo showcasing how to combine ArcGIS Maps SDK, ArcGIS Assistant agents, and a custom LangGraph agent for natural language map interaction and automated feature layer creation in ArcGIS Online or Enter
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
2026-02-12 |
2026-04-01 |
2026-02-25 |
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40 |
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