Langfuse
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 · Low risk signals · Universal
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
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 · Low risk signals · Universal
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
Observal
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
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
| Dimension | Observal | langfuse-python | MCP-PostgreSQL-Ops |
|---|---|---|---|
| Source & provenance | |||
Provenance | BlazeUp-AI/Observal | langfuse/langfuse-python | call518/MCP-PostgreSQL-Ops |
Category | Operations & Infra | Automation & Workflows | Operations & Infra |
Freshness | 2026-04-05 | 2026-04-13 | 2026-04-01 |
| Risk & trust | |||
Trust score | 79 | 92 | 79 |
Audit signals | No explicit signals | metadata-only | No explicit signals |
| Install & compatibility | |||
Install friction | 40 | 75 | 40 |
| Community | |||
Stars | 136 | 378 | 145 |
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: 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: 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 risk signals · Universal
Permission hints |
|---|
repository clone, local runtime dependencies |
repository clone |
repository clone, local runtime dependencies |