rill: The fastest business intelligence tool for humans and agents

Last updated: 2026-11-05 · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 70/100

Flagged: install step in a code block runs a script from an untrusted host. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

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.

aiai-chatbotbibusiness-analyticscsvdatadata-analysisdata-visualizationdatavizduckdb

Quick Facts

Stars	2,983
Forks	205
Language	Go
Category	Agent Tool
License	Apache-2.0
Quality Score	70/100
Open Issues	185
Last Updated	2026-11-05
Created	2021-12-09
Platforms	go
Est. Tokens	~17k

About rill

Agent-first, human-friendly business intelligence <p align="cente

Compatible Skills

These tools work well together with rill for enhanced workflows:

anyquery — semantic(0.34)+complementary+rare_topics+same_lang+similar_pop+shared_platform (72%)
wren-engine — semantic(0.43)+complementary+rare_topics+similar_pop (58%)
ChatLab — semantic(0.36)+complementary+rare_topics+similar_pop (57%)
pgmcp — semantic(0.15)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
marmot — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (54%)

rill alternative? Top 6 similar tools

Looking for a rill alternative? If you're comparing rill with other agent tool tools, these 6 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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