Proactive Ops Monitor
Repository: openclaw/skills
Author: neroagent · Source status: Clear source
Proactive operations monitoring for OpenClaw agents.
Score basis:Clear source · High execution risk · OpenClaw · Evidence completeness 69%
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
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
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
anything-llm
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
Observal
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 | anything-llm | Observal |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 67 · Manual review | 66 · Manual review | 67 · Manual review |
| Source & provenance | |||
Provenance | call518/MCP-PostgreSQL-Ops | Mintplex-Labs/anything-llm | BlazeUp-AI/Observal |
Category | Operations & Infra | Automation & Workflows | Operations & Infra |
Freshness | |||
| Risk & permission signals | |||
Audit signals | No explicit signals | metadata-only | No explicit signals |
Permission hints | repository clone, local runtime dependencies | repository clone | repository clone, local runtime dependencies |
| Install & compatibility | |||
Install friction | 40 | 75 | 40 |
| Community | |||
Stars | 145 | 58.3K | 136 |
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 execution risk · Universal · Evidence completeness 65%
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 execution risk · Universal · Evidence completeness 67%
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 execution risk · Universal · Evidence completeness 67%
Repository: mcpcan
Author: Kymo-MCP · Source status: Clear source
MCPCAN is a centralized management platform for MCP services.
Score basis:Clear source · High execution risk · Universal · Evidence completeness 67%
2026-04-01 |
2026-04-14 |
2026-04-05 |