maplibre-agent-skills: Community-maintained agent skills for MapLibre GL JS — helping AI coding assistants write better mapping code

by maplibre · Claude Skill · ★ 158

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

How to install maplibre-agent-skills

npx skills add maplibre/maplibre-agent-skills --list
npx skills add maplibre/maplibre-agent-skills

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.

agent-skillsclaude-skillsmaplibremaplibre-gl-jspmtiles

Quick Facts

Stars158
Forks10
LanguageJavaScript
CategoryClaude Skill
LicenseMIT
Quality Score72/100
Open Issues22
Last Updated2026-11-05
Created2026-02-27
Platformsclaude-code, node
Est. Tokens~14k

About maplibre-agent-skills

MapLibre Agent Skills Curated guidance for AI assistants building MapLibre applications — covering ecosystem and open-source best practices. Agent skills are markdown files that AI coding assistants read as context. When you ask an AI agent to implement something using MapLibre, these skills give the AI the judgment to avoid common API gotchas, and suggest patterns that work.

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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