Compare skills
Pick 2–4 skills and compare what really matters: fit, risk, install effort, and community signal.
Selected skills (2/4)
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
zypher-agent
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, human approval gap
Control gaps：missing license, broad permissions, shell without guardrails
splitrail
Execution risk：High
Threat tags：unexpected code execution, identity privilege abuse, data exfiltration
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | zypher-agent | splitrail |
|---|---|---|
| Pre-install decision | ||
Pre-install score | 76 · Manual review | 82 · Manual review |
Score basis | Clear source, High execution risk, Universal | Clear source, High execution risk, Universal |
Execution risk | High | High |
Threat tags | 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 |
Permission summary | Permission review, Network, Command | Permission review, Network, Secrets, Command |
Evidence completeness | 65% | 67% |
| Source & provenance | ||
Provenance | corespeed-io/zypher-agent | Piebald-AI/splitrail |
Category | Dev & Engineering | Dev & Engineering |
Freshness | 2026-03-05 | |
| Risk & permission signals | ||
Audit signals | runs shell | needs credentials |
Permission hints | repository clone, local runtime dependencies | local runtime dependencies, repository clone |
| Install & compatibility | ||
Supported tools | Universal | Universal |
Install method | script-backed | script-backed |
Install friction | ||
| Community | ||
Stars | 358 | 150 |
Repository: agentic-ai-engineering
Author: agenticloops-ai · Source status: Clear source
Hands-on tutorials for building AI agents from scratch.
Score basis：Clear source · High execution risk · Universal · Evidence completeness 68%
Repository: NVIDIA-Nemotron-3-Super
Author: cobusgreyling · Source status: Clear source
Controllable reasoning demos for NVIDIA Nemotron 3 Super (120B/12B MoE) — chat UI, CLI, API server, tool calling, budget sweep, and adaptive routing Topics: gradio, llm, mixture-of-experts, moe, nemotron, nim, nvidia, re
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
Repository: opencode-glm-quota
Author: guyinwonder168 · Source status: Clear source
Opencode plugin to query Z.ai GLM Coding Plan usage statistics with real-time quota monitoring, model usage tracking, and MCP Tools usage Topics: ci-cd, github-actions, glm, opencode, plugin, quota-monitoring, typescript
Score basis：Clear source · High execution risk · Universal · Evidence completeness 65%
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