by rekursiv-ai · Codex Skill · ★ 83
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
pipx install sagent
pip install sagentTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 83 |
| Forks | 19 |
| Language | Python |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 70/100 |
| Open Issues | 10 |
| Last Updated | 2026-11-05 |
| Created | 2026-05-05 |
| Platforms | claude-code, cli, codex, gemini, python |
| Est. Tokens | ~18k |
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/
Looking for a sagent alternative? If you're comparing sagent with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite
Explore the must-have external ready-made toolkits to integrate with your AI agents built with Python and Type
Agent orchestration & security template featuring MCP tool building, agent2agent workflows, mechanistic interp
Claude Code Agent Monitoring & Observability on VSCode
Python client library for improving your LLM app accuracy
Bootstrap projects from Figma, Linear, Notion & GitHub specs. The only AI ralph with source integrations.
Explore other popular codex skill tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: