learn-claude-code-rs: Build an AI agent harness in Rust, from a minimal loop to tools, subagents, memory, teams, worktrees, MCP

by wulawulu · MCP Server · ★ 144

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 73/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. 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.

agent-harnessagenticai-agentclaude-codecoding-agentllmmcpmulti-agentrustrust-lang

Quick Facts

Stars144
Forks32
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score73/100
Last Updated2026-10-19
Created2026-04-08
Platformsclaude-code, mcp, rust
Est. Tokens~24k

About learn-claude-code-rs

learn-claude-code-rs English | 中文 A progressive AI Agent Harness tutorial written in Rust. This repository is a Rust-oriented learning path for building an agent harness. It starts with the smallest agent loop and gradually adds tools, planning, subagents, skills, context compaction, permissions, hooks, memory, multi-agent collaboration, worktree isolation, MCP/plugins, and tool routing.

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How this security grade is produced

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:

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