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 askbudi · Codex Skill · ★ 56
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is juno-code safe to install? View the security audit →
juno-code AI-powered code automation with structured task management Installation After installation, initialize your project: Shell Completion (Tab Autocomplete) After installation/reload, suggests available subcommands. The Ralph Method: Where It All Started "I'm in danger!" - Ralph Wi
| Stars | 56 |
| Forks | 5 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 69.636977669813/100 |
| Last Updated | 2026-08-17 |
| Created | 2026-01-06 |
| Platforms | claude-code, cli, codex, node |
| Est. Tokens | ~23k |
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juno-code is Ralph Wiggum meet Kanban! Ralph style execution for [Claude Code, Codex, Pi, Cursor]. One task per iteration, automatic progress tracking, and git commits. Set it and let it run.. It is categorized as a Codex Skill with 56 GitHub stars.
juno-code is primarily written in TypeScript. It covers topics such as ai-agent, autonomous-agents, backlog-ralph.
You can find installation instructions and usage details in the juno-code GitHub repository at github.com/askbudi/juno-code. The project has 56 stars and 5 forks, indicating an active community.
The top alternatives to juno-code on Agent Skills Hub include yylo, unigent, ralph-starter. 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: