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.
haystack
deepset-ai/haystack · Score 81
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
openpencil
Execution risk：High
Threat tags：prompt injection, tool poisoning, unexpected code execution
Control gaps：missing license, broad permissions, shell without guardrails
scholar-rag
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
neuron-ai
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
haystack
Execution risk：High
Threat tags：unexpected code execution, data exfiltration, memory context poisoning
Control gaps：missing license, broad permissions, shell without guardrails
| Dimension | openpencil | scholar-rag | neuron-ai | haystack |
|---|---|---|---|---|
| SAS-v2.1 pre-install audit | ||||
Threat tags | prompt injection, tool poisoning, unexpected code execution | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, memory context poisoning | unexpected code execution, data exfiltration, memory context poisoning |
Evidence confidence | 68% | 67% | 67% | 67% |
| Source & provenance | ||||
Provenance | ZSeven-W/openpencil | PangHu1020/scholar-rag | neuron-core/neuron-ai | deepset-ai/haystack |
Freshness | 2026-04-05 | 2026-04-06 | 2026-04-03 | 2026-04-08 |
| Risk & trust | ||||
Trust score | 79 | 82 | 79 | 81 |
| Community | ||||
Stars | 2K | 22 | 1.8K | 24.8K |
