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: aws-secretsmanager-agent
Author: aws · Source status: Clear source
The AWS Secrets Manager Agent is a local HTTP service that you can install and use in your compute environments to read secrets from Secrets Manager and cache them in memory.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 69%
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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
aws-secretsmanager-jdbc
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
claude-pace-maker
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | aws-secretsmanager-jdbc | mcp-for-beginners | claude-pace-maker |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 76 · 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 | prompt injection, tool poisoning, unexpected code execution |
Permission summary | Permission review, Network, Secrets, Command | Permission review, Network, Command | Permission review, Network, Command |
Evidence completeness | 67% | 67% | 68% |
| Source & provenance | |||
Provenance | aws/aws-secretsmanager-jdbc | microsoft/mcp-for-beginners | LightspeedDMS/claude-pace-maker |
Freshness | 2026-04-02 | 2026-04-08 | 2026-04-06 |
| Risk & permission signals | |||
Audit signals | No explicit signals | No explicit signals | writes files |
| Community | |||
Stars | 194 | 15.8K | 4 |
Repository: DemoGPT
Author: melih-unsal · Source status: Clear source
🤖 Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
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: openclaw/skills
Author: diagnostikon · Source status: Clear source
Trades CPI range bin markets on Kalshi using the constraint that mutually exclusive bins must sum to ~100%.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
