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: 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 · 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
mcp-shark
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
oss-llmops-stack
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
skill-seekers
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | mcp-shark | oss-llmops-stack | skill-seekers |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 79 · Manual review | 83 · Manual review | 88 · Evidence missing |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, Claude |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | prompt injection, tool poisoning, unexpected code execution | unexpected code execution, identity privilege abuse, data exfiltration |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 67% | 67% | 71% |
| Source & provenance | |||
Provenance | mcp-shark/mcp-shark | langfuse/oss-llmops-stack | openclaw/skills |
Category | Operations & Infra | Automation & Workflows | Dev & Engineering |
Freshness | |||
| Risk & permission signals | |||
Audit signals | network access | metadata-only | needs credentials, network access, runs shell, writes files |
Permission hints | repository clone, local runtime dependencies | repository clone | verify source provenance before install |
| Install & compatibility | |||
Supported tools | Universal | Universal | Claude, Cursor, Windsurf |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 160 | 136 | 0 |
Repository: MCP-PostgreSQL-Ops
Author: call518 · Source status: Clear source
🔍Professional MCP server for PostgreSQL operations & monitoring: 30+ extension-independent tools for performance analysis, table bloat detection, autovacuum monitoring, schema introspection, and database management.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: kubeshark
Author: kubeshark · Source status: Clear source
eBPF-powered network observability for Kubernetes.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: mcp-for-argocd
Author: argoproj-labs · Source status: Clear source
An implementation of Model Context Protocol (MCP) server for Argo CD.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: coolify-mcp
Author: StuMason · Source status: Clear source
MCP server for Coolify — 38 optimized tools for managing self-hosted PaaS through AI assistants Topics: ai, claude, coolify, deployment, devops, infrastructure, mcp, model-context-protocol, paas, self-hosted, typescript.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
Repository: project-nova
Author: PradeepaRW · Source status: Clear source
A multi-agent AI architecture that connects 25+ specialized agents through n8n and MCP servers.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
2026-04-05 |
2025-02-16 |
2026-04-04 |
40 |
75 |
65 |
