blockoli: High-performance tool for code indexing, embedding generation and semantic search tool for use with LLMs

by winfunc · Agent Tool · ★ 166

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How to install blockoli

git clone https://github.com/stitionai/blockoli.git

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

Stars166
Forks22
LanguageRust
CategoryAgent Tool
LicenseMIT
Quality Score72/100
Open Issues1
Last Updated2024-04-19
Created2024-03-19
Platformsrust
Est. Tokens~35k

About blockoli

🥦🔎 Blockoli is a high-performance tool for code indexing, embedding generation and semantic search tool for use with LLMs. blockoli is built in Rust and uses the ASTerisk crate for semantic code parsing. blockoli allows you to efficiently index, store, and search code blocks and their embeddings using vector similarity.

blockoli alternative? Top 1 similar tools

Looking for a blockoli alternative? If you're comparing blockoli with other agent tool tools, these 1 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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