No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by coreyhaines31 · Claude Skill · ★ 772
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is makerskills safe to install? View the security audit →
makerskills AI agent skills for the personal operator's craft. Decisions, research, second-brain workflows, content rotation, scenario modeling, CFO cadence, domain hunts, and the meta-skills to author more. Built for founders and indie operators. Works with Claude Code, Codex, Cursor, and other Agent Skills hosts. Site: maker-skills.com Install Or symlink for local dev: See INSTALL.md for env vars, personal-config setup, and runtime dependencies. Getting started — 5-minute path New to the plugin? Do these in order. Everything else can wait until you need it. 1. Install the plugin (above), then set the base env var in :
| Stars | 772 |
| Forks | 62 |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 68.3988877145469/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-04 |
| Created | 2026-06-03 |
| Platforms | claude-code, codex |
| Est. Tokens | ~19k |
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makerskills is AI agent skills for the personal operator's craft — decisions, research, second-brain, content rotation, scenario modeling, and meta-skills to author more. Works with Claude Code, Codex, Cursor.. It is categorized as a Claude Skill with 772 GitHub stars.
You can find installation instructions and usage details in the makerskills GitHub repository at github.com/coreyhaines31/makerskills. The project has 772 stars and 62 forks, indicating an active community.
makerskills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to makerskills on Agent Skills Hub include pro-workflow, Claude-Code-Everything-You-Need-to-Know, claude-skills-marketplace. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: