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 coleam00 · Claude Skill · ★ 106
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is custom-agent-with-skills safe to install? View the security audit →
Custom Skill-Based Pydantic AI Agent A framework-agnostic skill system for AI agents that implements progressive disclosure - a powerful pattern for managing context efficiently. This project demonstrates how to extract successful patterns from proprietary AI systems (like Claude Skills) and implement them in open frameworks like Pydantic AI. Key Features Progressive Disclosure: Skills load instructions and resources on-demand, eliminating context window constraints Framework Agnostic: Skills work with any AI framework, not locked to a specific vendor Type Safe: Full Pydantic models and type hints throughout Extensible: Easy to add new skills by following a simple directory structure Production Ready: Includes comprehensive testing patterns and examples What is Progressive Disclosure? Progressive disclosure is a technique for managing AI context efficiently. Instead of loading all possible instructions into the system prompt, skills are loaded in three levels: This pattern allows an agent to
| Stars | 106 |
| Forks | 42 |
| Language | Python |
| Category | Claude Skill |
| Quality Score | 66.2577984967133/100 |
| Last Updated | 2026-01-27 |
| Created | 2026-01-26 |
| Platforms | claude-code, python |
| Est. Tokens | ~21k |
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custom-agent-with-skills is Pydantic AI agent that implements the idea of Claude Skills (progressive disclosure) with no reliance on Claude itself.. It is categorized as a Claude Skill with 106 GitHub stars.
custom-agent-with-skills is primarily written in Python.
You can find installation instructions and usage details in the custom-agent-with-skills GitHub repository at github.com/coleam00/custom-agent-with-skills. The project has 106 stars and 42 forks, indicating an active community.
The top alternatives to custom-agent-with-skills on Agent Skills Hub include claude-ai-mcp. 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.
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