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: langfuse
Author: langfuse · Source status: Clear source
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 67%
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
Observal
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
openai-python
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
langfuse-python
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | Observal | openai-python | langfuse-python |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 79 · Manual review | 92 · Manual review | 92 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal |
Execution risk | High | High | High |
Threat tags | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, human approval gap | unexpected code execution, data exfiltration, human approval gap |
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, Command |
Evidence completeness | 65% | 65% | 65% |
| Source & provenance | |||
Provenance | BlazeUp-AI/Observal | openai/openai-python | langfuse/langfuse-python |
Category | Operations & Infra | Automation & Workflows | Automation & Workflows |
Freshness | |||
| Risk & permission signals | |||
Audit signals | No explicit signals | metadata-only | metadata-only |
Permission hints | repository clone, local runtime dependencies | repository clone | repository clone |
| Install & compatibility | |||
Supported tools | Universal | Universal | Universal |
Install method | script-backed | script-backed | script-backed |
Install friction | |||
| Community | |||
Stars | 136 | 30.5K | 378 |
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: centreon
Author: centreon · Source status: Clear source
Centreon is a network, system and application monitoring tool.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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: httptap
Author: ozeranskii · Source status: Clear source
Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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%
2026-04-05 |
2026-04-14 |
2026-04-13 |
40 |
75 |
75 |
