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
MCP-PostgreSQL-Ops
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
LLM Loop Breaker
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | MCP-PostgreSQL-Ops | LLM Loop Breaker |
|---|---|---|
| Source & provenance | ||
Provenance | call518/MCP-PostgreSQL-Ops | openclaw/skills |
Freshness | 2026-04-01 | 2026-04-02 |
| Risk & trust | ||
Trust score | 79 | 81 |
Audit signals | No explicit signals | network access, runs shell, writes files |
Permission hints | repository clone, local runtime dependencies | requires binary: node, requires binary: python3, requires binary: bash, target os: linux, verify source provenance before install |
| Install & compatibility | ||
Supported tools | Universal | OpenClaw |
Install friction | 40 | 50 |
| Community | ||
Stars | 145 | 0 |
Repository: openclaw-office
Author: WW-AI-Lab · Source status: Clear source
OpenClaw Office is the visual monitoring and management frontend for the OpenClaw Multi-Agent system.
Score basis：Clear source · High risk signals · Universal
Repository: mcp-shark
Author: mcp-shark · Source status: Clear source
Wireshark-like forensic analysis for Model Context Protocol communications Capture, inspect, and investigate all HTTP requests and responses between your IDE and MCP servers Topics: electron, forensic-analysis, forensic
Score basis：Clear source · High risk signals · Universal
Repository: Observal
Author: BlazeUp-AI · Source status: Clear source
Observal is an observability platform and market place for your MCP servers Topics: cli-tool, evaluation, large-language-models, llm, llm-evaluation, llm-observability, llmops, monitoring, observability, open-source, pla
Score basis：Clear source · Low risk signals · Universal
Repository: openclaw/skills
Author: jpengcheng523-netizen · Source status: Clear source
Provides monitoring and alerting for agent abnormal behavior metrics with Prometheus and Grafana support, including P99 latency, error rates, anomaly detection, and custom alert rules.
Score basis：Clear source · High risk signals · Universal
