by LobsterTrap · Agent Tool · ★ 132
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
uv tool install lola-ai
pip install lola-aiTaken from the project's README on GitHub. Check the security audit before running it.
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. 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.
| Stars | 132 |
| Forks | 36 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 71/100 |
| Open Issues | 79 |
| Last Updated | 2026-10-14 |
| Created | 2025-10-17 |
| Platforms | python |
| Est. Tokens | ~16k |
Lola - AI Context Package Manager Write Agent Skills and Contexts once, use everywhere. Lola is a universal AI Package Manager. If an agent's skills were an RPM, Lola is the DNF for it. Write your skills and context modules once as portable packages, then install them to any AI assistant or agent with a single command.
These tools work well together with lola for enhanced workflows:
Looking for a lola alternative? If you're comparing lola 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.
One-stop shop for AI skills and agents. Search 110K+ community skills, install and track them declaratively, a
Agent harness and tookit for building AI agents and agentic applications. CLI and SDKs included
OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templ
Create agentic AI workflows in ROBLOX Studio
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plug
OpenSkills: Run Claude Skills Locally using any LLM
Explore other popular agent tool tools:
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: