appllama-skills: A builder, not just a researcher

by Appllama · MCP Server · ★ 842

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

How to install appllama-skills

npx skills@latest add appllama/appllama-skills
npx skills@latest add appllama/appllama-skills -a claude-code -a cursor -y

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

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. 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.

agent-skillsai-agentsclaudeclaude-codeclaude-code-skillclaude-skillscodexcodex-skillcursordesign-system

Quick Facts

Stars842
Forks54
CategoryMCP Server
LicenseMIT
Quality Score69/100
Last Updated2026-09-06
Created2026-08-13
Platformsclaude-code, codex, mcp
Est. Tokens~10k

About appllama-skills

A builder, not just a researcher. Agent skills that make AI agents genuinely good at building mobile apps — studied against the top-grossing apps, finished to a simulator-verified bar. appllama.io · MCP · X · LinkedIn · Product Hunt Appllama is the design library of top-grossing mobile apps — their real screens, flows, and UI patterns, with revenue and download context.

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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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