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
httptap
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
ELM-Python-Client
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
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 | httptap | ELM-Python-Client | skill-seekers |
|---|---|---|---|
| Pre-install decision | |||
Pre-install score | 79 · Manual review | 79 · 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, human approval gap | unexpected code execution, data exfiltration, human approval gap | 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 | 65% | 67% | 71% |
| Source & provenance | |||
Provenance | ozeranskii/httptap | IBM/ELM-Python-Client | 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 | 486 | 46 | 0 |
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: 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%
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: 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: devspace
Author: devspace-sh · Source status: Clear source
DevSpace - The Fastest Developer Tool for Kubernetes ⚡ Automate your deployment workflow with DevSpace and develop software directly inside Kubernetes.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
2026-04-06 |
2026-03-03 |
2026-04-04 |
40 |
75 |
65 |
