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 imgompanda · Agent Tool · ★ 139
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is fireauto safe to install? View the security audit →
fireauto 1년간 Claude Code를 쓰면서 쌓인 기억을 플러그인으로 만들었어요. AI 서비스 40개를 만들면서 매일 반복한 작업들, 이제 커맨드 하나로 누구나 쓸 수 있어요. 시작하기 · 전체 커맨드 · 상세 설명 · FAQ 도움이 됐다면 Star를 눌러주세요. 업데이트 소식을 받아볼 수 있어요. 이게 뭔가요? fireauto는 Claude Code에서 쓸 수 있는 자동화 플러그인이에요. 1년 동안 Claude Code로 AI 서비스 40개를 만들었어요. 매번 SEO 점검하고, 보안 체크하고, 레딧에서 고객 찾고, PRD 쓰고... 같은 작업을 반복하더라고요. 그래서 그 과정에서 쌓인 노하우와 패턴을 전부 플러그인으로 만들었어요. 터미널에서 라고 입력하면 AI가 알아서 SEO를 점검하고, 라고 입력하면 보안 취약점을 찾아줘요. 사람이 하면 반나절 걸리는 일을, 커맨드 하나로 끝낼 수 있어요. 시작하기 1단계: fireauto 설치 설치 끝. 이제 같은 커맨드를 바로 쓸 수 있어
| Stars | 139 |
| Forks | 35 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 63.0917144210759/100 |
| Open Issues | 2 |
| Last Updated | 2026-04-09 |
| Created | 2026-03-06 |
| Platforms | claude-code, node |
| Est. Tokens | ~437k |
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fireauto is Claude Code 자동화 플러그인 — SEO, 보안, 팀 에이전트, PRD, 레딧 리서치를 커맨드 하나로. It is categorized as a Agent Tool with 139 GitHub stars.
fireauto is primarily written in JavaScript. It covers topics such as ai-agent, automation, claude-code.
You can find installation instructions and usage details in the fireauto GitHub repository at github.com/imgompanda/fireauto. The project has 139 stars and 35 forks, indicating an active community.
fireauto is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to fireauto on Agent Skills Hub include claude-code-hooks, Overture, gmickel-claude-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: