rag@1.0.0
CAUTION· static onlyPublisher claims: "检索增强生成(Retrieval-Augmented Generation)。把本地文档建索引、按问题检索 top-k 相关分块并产出带引用的回答。支持离线抽取式与可选 LLM 生成式两种模式,纯 Python 无重依赖。当用户需要"基于自有资料问答""知识库检索""文档问答""RAG""让模型引用来源"时使用。" Observed in sandbox: static analysis only — behavior not yet observed.
Coverage
Static only; nothing was run yet.The label rests on the code, the instruction files and the publisher. The honeypot run replaces this verdict when it completes.
Is [email protected] safe to install?
KillerSkills analysed it statically (a sandbox run is pending) on 2026-11-09 and scored it 71/100 (Caution). It is not known to be malicious, but it has behaviour or code a security policy should decide on before install. Summary: static analysis only — behavior not yet observed.
Behavior trace
Queued for honeypot run · static analysis onlyThis version has not been detonated yet. The score above counts behavior as unknown (50/100), so it cannot read Verified until the honeypot run completes and replaces this verdict.
Static findings
No findings across 615 lines in 8 files.
Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.
What would make this Verified
9 points to 80 · weights: behavior 45%, static 25%, prompt 15%, publisher 15%- Unclaimed publisher≈ +8 on the totalClaim qq435912743: a verified publisher gets +50 on publisher trust. It is free and usually instant with GitHub sign-in.