by herdrdev · Codex Skill · ★ 47.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/herdrdev/herdrTaken from the project's README on GitHub. Check the security audit before running it.
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.
| Stars | 47,813 |
| Forks | 3,833 |
| Language | Rust |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 67/100 |
| Open Issues | 420 |
| Last Updated | 2026-11-03 |
| Created | 2026-03-27 |
| Platforms | claude-code, cli, codex, rust |
| Est. Tokens | ~23k |
herdr herdr.dev · install · quick start · docs · sponsors English · 简体中文
These tools work well together with herdr for enhanced workflows:
Looking for a herdr alternative? If you're comparing herdr 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.
Open source Ghostty-based macOS terminal with vertical tabs and notifications for AI coding agents. Built for
Open source AI coding agent. Designed for large projects and real world tasks.
Orchestrate Claude, Codex and Grok in one app. Open-source (MIT), reuses the subscriptions you already pay for
Free, local tool to track AI coding token usage and cost across 37 tools and agents (Claude Code, Cursor, Code
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero depend
A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows
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: