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: inkbox
Author: inkbox-ai · Source status: Clear source
SDK, skills, and examples for Inkbox: give your AI agents identities, inboxes, phone numbers, and encrypted vaults.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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
connect-sdk-python
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
mcp-for-beginners
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
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
| Dimension | connect-sdk-python | mcp-for-beginners | gram |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 72 · Manual review | 85 · Manual review | 82 · Manual review |
Threat tags | unexpected code execution, identity privilege abuse, data exfiltration | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, human approval gap |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 67% | 67% | 65% |
| Source & provenance | |||
Provenance | 1Password/connect-sdk-python | microsoft/mcp-for-beginners | speakeasy-api/gram |
Freshness | 2026-04-02 | 2026-04-08 | 2026-04-08 |
| Community | |||
Stars | 224 | 15.8K | 226 |
Repository: claude-ide-tools
Author: YousifAshwal · Source status: Clear source
🛠️ Enhance Claude Code CLI’s refactoring with JetBrains IDEs, leveraging advanced semantic analysis for smarter code usage handling.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: ccNexus
Author: lich0821 · Source status: Clear source
Intelligent API gateway for Claude Code and Codex CLI - rotate endpoints, monitor usage, and seamlessly integrate OpenAI, Gemini, and other platforms.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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%
