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.
OpenAOE
InternLM/OpenAOE · Score 90
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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
agentlego
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
agentic-ai-engineering
Execution risk:High
Threat tags:prompt injection, tool poisoning, unexpected code execution
Control gaps:missing license, broad permissions, shell without guardrails
tool_calling_api
Execution risk:High
Threat tags:prompt injection, tool poisoning, unexpected code execution
Control gaps:missing license, broad permissions, shell without guardrails
OpenAOE
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, human approval gap
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | agentlego | agentic-ai-engineering | tool_calling_api | OpenAOE |
|---|---|---|---|---|
| SAS-v2.1 pre-install audit | ||||
Threat tags | unexpected code execution, data exfiltration, human approval gap | prompt injection, tool poisoning, unexpected code execution | prompt injection, tool poisoning, unexpected code execution | unexpected code execution, data exfiltration, human approval gap |
Evidence confidence | 65% | 68% | 67% | 65% |
| Source & provenance | ||||
Provenance | InternLM/agentlego | agenticloops-ai/agentic-ai-engineering | Shuyib/tool_calling_api | InternLM/OpenAOE |
Category | Dev & Engineering | Dev & Engineering | Dev & Engineering | Automation & Workflows |
Freshness | ||||
| Risk & trust | ||||
Trust score | 60 | 82 | 82 | 90 |
Audit signals | No explicit signals | No explicit signals | ||
| Install & compatibility | ||||
Install friction | 40 | 40 | 40 | 75 |
| Community | ||||
Stars | 411 | 49 | 20 | 322 |
2024-09-13 |
2026-04-07 |
2026-03-28 |
2025-06-19 |
metadata-only |
Permission hints | repository clone, local runtime dependencies | repository clone, local runtime dependencies | repository clone, local runtime dependencies | repository clone |
|---|