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
jira-connector
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
ServiceBusExplorer
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
mcp-sequentialthinking-tools
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | jira-connector | ServiceBusExplorer | mcp-sequentialthinking-tools |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, memory context poisoning |
Evidence confidence | 65% | 65% | 67% |
| Source & provenance | |||
Provenance | floralvikings/jira-connector | paolosalvatori/ServiceBusExplorer | spences10/mcp-sequentialthinking-tools |
Freshness | 2020-07-23 | 2026-04-04 | 2026-04-03 |
| Risk & trust | |||
Trust score | 60 | 81 | 82 |
| Community | |||
Stars | 374 | 2.2K | 574 |
Repository: openclaw/skills
Author: twinsgeeks · Source status: Clear source
Icebreaker prompts for AI agents — break the ice with personality-matched agents, icebreaker conversations, and icebreaker openers that actually work.
Score basis：Clear source · High risk signals · Claude
Repository: openclaw-telemetry
Author: knostic · Source status: Clear source
Telemetry for OpenClaw - Captures tool calls, LLM usage, agent lifecycle, and message events.
Score basis：Clear source · Risk needs review · Universal
Repository: UCAI
Author: nirholas · Source status: Clear source
Universal Contract AI Interface (UCAI) 🔗 ABI to MCP | The open standard for connecting AI agents to blockchain.
Score basis：Clear source · High risk signals · Universal
