Neuron Ai
Repository: neuron-ai
Author: neuron-core · Source status: Clear source
The PHP Agentic Framework to build production-ready AI driven applications.
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
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
haystack
Execution risk:High
Threat tags:unexpected code execution, data exfiltration, memory context poisoning
Control gaps:missing license, broad permissions, shell without guardrails
agent-memory-systems
Execution risk:High
Threat tags:data exfiltration, memory context poisoning, human approval gap
Control gaps:missing license, network without allowlist, no human approval
OpenViking
Execution risk:High
Threat tags:unexpected code execution, identity privilege abuse, data exfiltration
Control gaps:missing license, broad permissions, shell without guardrails
| Dimension | haystack | agent-memory-systems | OpenViking |
|---|---|---|---|
| SAS-v2.1 pre-install audit | |||
Threat tags | unexpected code execution, data exfiltration, memory context poisoning | data exfiltration, memory context poisoning, human approval gap | unexpected code execution, identity privilege abuse, data exfiltration |
Control gaps | missing license, broad permissions, shell without guardrails | missing license, network without allowlist, no human approval | missing license, broad permissions, shell without guardrails |
Permission summary | Permission review, Network, Command | Network, Command | Permission review, Network, Secrets, Command |
Evidence confidence | 67% | 65% | 69% |
| Source & provenance | |||
Provenance | deepset-ai/haystack | davila7/claude-code-templates/tree/main/cli-tool/components/skills/ai-research/agent-memory-systems | volcengine/OpenViking |
Freshness | 2026-04-08 | 2026-02-04 | 2026-04-10 |
| Risk & trust | |||
Trust score | 81 | 79 | 79 |
Audit signals | No explicit signals | No explicit signals | writes files |
| Install & compatibility | |||
Supported tools | Universal | Claude, Codex, Cursor, Universal | Universal |
Install method | script-backed | registry-install | script-backed |
Install friction | |||
| Community | |||
Stars | 24.8K | 19.9K | 21.9K |
Repository: generative-ai-for-beginners-project-based-guide-to-building-rag-agents
Author: hereandnowai · Source status: Clear source
A beginner-friendly, project-driven tutorial on generative AI and LangChain agents.
Score basis:Clear source · Low risk signals · Universal
Repository: openclaw/skills
Author: cinience · Source status: Clear source
Use when working with OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches.
Score basis:Clear source · High risk signals · Claude
Repository: openclaw/skills
Author: jared-goering · Source status: Clear source
Structured AI agent memory with temporal versioning, relational tracking, and semantic search.
Score basis:Clear source · High risk signals · Universal
Repository: scholar-rag
Author: PangHu1020 · Source status: Clear source
A beginner-friendly and extensible Agentic RAG project that demonstrates the full pipeline of document parsing, retrieval, reranking, workflow orchestration, tool calling, and answer generation, designed for both learnin
Score basis:Clear source · Low risk signals · Universal
Permission hints |
|---|
repository clone, local runtime dependencies |
registry access, remote metadata pull, runtime dependencies may be required |
repository clone, local runtime dependencies |
40 |
50 |
40 |