Grov: Grov automatically captures the context from your private AI sessions and syncs it to a shared team memory

by TonyStef · Claude Skill · ★ 192

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

How to install Grov

npm install -g grov   # Install

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 76/100

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.

aiai-coding-toolsai-infrastructureai-memoryanthropicclaudeclaude-codeclideveloper-toolsllm

Quick Facts

Stars192
Forks11
LanguageTypeScript
CategoryClaude Skill
LicenseApache-2.0
Quality Score76/100
Open Issues15
Last Updated2026-01-29
Created2025-11-24
Platformsclaude-code, cli, node
Est. Tokens~225k

About Grov

grov Collective AI memory for engineering teams. When one dev's AI figures something out, every dev's AI knows it. Website • Dashboard • Quick Start • Features • Contributing The Problem Your team's AI agents are learning in silos.

Compatible Skills

These tools work well together with Grov for enhanced workflows:

  • claude-mem — semantic(0.38)+complementary+rare_topics+same_lang+shared_platform (58%)
  • ai-maestro — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • Ori-Mnemos — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)

Grov alternative? Top 6 similar tools

Looking for a Grov alternative? If you're comparing Grov with other claude skill 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:

View on GitHub → Browse Claude Skill tools