Score breakdown0 Version history1 Source
Category Weight Category score Contribution
Security prompt, exec, net, exfil, eval
35%
100
35.0 pts
Supply chain hash, typosquat, maintainer, lockfile
20%
100
20.0 pts
Maintenance staleness, pinning, CI
15%
100
15.0 pts
Transparency SKILL.md, perms, README
15%
100
15.0 pts
Community installs, verify, response
15%
100
15.0 pts
Findings & checks · 0 flagged
Security score 100 · 0 findings
✓ — All security checks passedNo findings in this category for the latest scan. pass
Supply chain score 100 · 0 findings
✓ — All supply chain checks passedNo findings in this category for the latest scan. pass
Maintenance score 100 · 0 findings
✓ — All maintenance checks passedNo findings in this category for the latest scan. pass
Transparency score 100 · 0 findings
✓ — All transparency checks passedNo findings in this category for the latest scan. pass
Community score 100 · 0 findings
✓ — All community checks passedNo findings in this category for the latest scan. pass
Every scanned point with the score it earned and what moved between them.
1 scans · 90 days d97a2e4 latest
Jun 23, 2026 100 d97a2e4
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
library/specializations/ai-agents-conversational/skills/llamaindex-agent/SKILL.md · 1 file library/specializations/ai-agents-conversational/skills/llamaindex-agent/SKILL.md 1.2 KB · Markdown Rendered Raw ⧉ Copy
name : llamaindex-agent
description : LlamaIndex agent and query engine setup for RAG-powered agents
allowed-tools :
- Read
- Write
- Edit
- Bash
- Glob
- Grep
LlamaIndex Agent Skill Capabilities Set up LlamaIndex query engines Configure ReAct agents with tools Implement OpenAI function calling agents Design sub-question query engines Set up multi-document agents Implement chat engines with memory Target Processes rag-pipeline-implementation knowledge-base-qa Implementation Details Agent Types ReActAgent : Reasoning and acting agentOpenAIAgent : Function calling agentStructuredPlannerAgent : Plan-and-execute styleSubQuestionQueryEngine : Complex query decompositionQuery Engine Types VectorStoreIndex query engine Summary index query engine Knowledge graph query engine SQL query engine Configuration Options LLM selection Tool definitions Memory configuration Verbose/debug settings Query transform modules Best Practices Appropriate index selection Clear tool descriptions Memory for multi-turn Monitor query performance Dependencies llama-index llama-index-agent-openai