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skill

llamaindex Review findings

orchestra-researchorchestra-research/ai-research-skillsupdated

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Data framework for building LLM applications with RAG. Specializes in document ingestion (300+ connectors), indexing, and querying. Features vector indices, query engines, agents, and multi-modal support. Use for document Q&A, chatbots, knowledge retrieval, or building RAG pipelines. Best for data-centric LLM applications.
orchestra-research's own description, from the skill's files.
Data & analyticsResearchDocumentsskill
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14,234
Version
v1
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0
OverviewSecurity5Versions1

Overview

holdReview findings

Waxell's checks found 5 findings to review, highest severity high.

Highest severity
high
Findings
5
What ran
Static analysis

A clean result means nothing alarming in what is published, not a guarantee. How the checks work

We don't republish the skill's instructions. Read them on GitHub at the reviewed commit.

Security

Security scan

Checked 2 days ago

Result

Review findings Waxell's checks found 5 findings to review, highest severity high.

Checked with static analysis: servers it launches, packages it installs at runtime, scripts piped to a shell and bundled binaries. Nothing was run. How the checks work

Findings (5)

high · 5

  • high

    Tells Claude to install unpinned packages (llama-index)

    SKILL.md:44 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (llama-index-core)

    SKILL.md:47 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (llama-index-llms-openai)

    SKILL.md:48 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (llama-index-embeddings-openai)

    SKILL.md:49 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (llama-index-readers-notion)

    references/data_connectors.md:78 · skill_risk:S2

Versions

Version history

Each distinct content we have seen, newest first, with the verdict it got at the time.

One version so far: v1 (1.0.0), seen 2026-11-03.

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