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 sneg55 · Claude Skill · ★ 77
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-starter safe to install? View the security audit →
agent-starter A toolkit of skills, templates, and guides for bootstrapping AI-agent-friendly projects. It started as Anthropic's own engineering patterns — extracted from the Claude Code CLI source and packaged into reusable form. It has since been extended with additional best practices, tooling, and original ideas that go beyond the source material. The flagship extension is a per-project self-improvement loop: scaffolded projects capture signal from their own usage and turn it into better rules over time (see below). So the patterns here come from two places: those marked "derived from Anthropic's Claude Code source" are reverse-engineered from the real thing; everything else is added on top. Usage Point an AI agent at this repo and say "read this repo and set up my project" — the agent reads and scaffolds a complete project interactively: Or install the skill once and run it in any session: Then: For an existing project, say "read this repo and apply it to my project" — the agent reads and runs an audit-first, opt-in adoption (nothing overwritten, everything on a branch). Or install the skills the same way and run .
| Stars | 77 |
| Forks | 4 |
| Language | Shell |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 70.1226070571885/100 |
| Last Updated | 2026-09-14 |
| Created | 2026-03-31 |
| Platforms | claude-code, cli |
| Est. Tokens | ~13k |
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agent-starter is A toolkit of skills, templates, and guides for bootstrapping AI-agent-friendly projects. Started from Anthropic's Claude Code engineering patterns, extended with a per-project self-improvement loop an. It is categorized as a Claude Skill with 77 GitHub stars.
agent-starter is primarily written in Shell. It covers topics such as agent-skills, ai-agents, claude-code.
You can find installation instructions and usage details in the agent-starter GitHub repository at github.com/sneg55/agent-starter. The project has 77 stars and 4 forks, indicating an active community.
agent-starter is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-starter on Agent Skills Hub include aws-skills, orchestkit, claudepro-directory. 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: