Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by rekursiv-ai · Codex Skill · ★ 55
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is sagent safe to install? View the security audit →
sagent🪄 The self-mutating multi-provider coding-agent CLI and typed Python library. Tutorial · Concepts · Providers · Tools · CLI · Sessions · Security · <a href="https://github.com/rekursiv-ai/sagent/blob/main/
| Stars | 55 |
| Forks | 13 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 69.7301450002061/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-19 |
| Created | 2026-05-05 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~18k |
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sagent is A coding-agent CLI and strongly-typed Python library -- self-mutating, hot-swapping, multi-provider, with async tool calls and bidirectional recursive spawn.. It is categorized as a Codex Skill with 55 GitHub stars.
sagent is primarily written in Python. It covers topics such as agent-framework, agent-orchestration, agentic-ai.
You can find installation instructions and usage details in the sagent GitHub repository at github.com/rekursiv-ai/sagent. The project has 55 stars and 13 forks, indicating an active community.
sagent is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to sagent on Agent Skills Hub include ai-agent-tools-catalog, template-repo, 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: