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 angel291592 · Codex Skill · ★ 672
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Intent-Router safe to install? View the security audit →
Intent-Router English | 简体中文 An intent compiler for AI agents. Turns a vague request into a typed — the clear, machine-readable input that typed decision models (Jev, Laya) and every router downstream assume already exists: it looks up what it can, asks only what it can't, and refuses to emit while the intent is still underspecified. What that buys you: Prompt equity. You get the interaction of a senior engineer without having to learn prompt engineering — the gap between the top 1% of prompt writers and everyone else stops deciding what you get back. Say it the way you'd say it to a capable teammate, "add caching to the user API", and the skill writes the briefing a senior engineer would have written first. You stop coaxing the model and start putting it to work. You answer less, not more. Before anything reaches you it reads what your repo, ticket system or docs already answer, so the forty-six-question interview becomes the one question that genuinely needs your judgment. The work carries further.
| Stars | 672 |
| Forks | 70 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 64.6292903528186/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-28 |
| Created | 2026-09-22 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~21k |
These tools work well together with Intent-Router for enhanced workflows:
Looking for a Intent-Router alternative? If you're comparing Intent-Router 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.
The definitive resource for Agent Skills - modular capabilities revolutionizing AI agent architecture
A collection of AI agent skills for Clawdbot, Claude Code, Codex
103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf,
Claude Code learns from your corrections: self-correcting memory that compounds over 50+ sessions. Context eng
A practical Claude Code guide with clear mental models and copy-paste examples — setup, prompt engineering, sl
Professional context and harness engineering for Claude Code and OpenAI Codex. Build production-grade software
Explore other popular codex skill tools:
Intent-Router is Intent compiler for AI agents — converges vague requests into typed IntentSpec contracts (probe, ask, or halt before routing), the input layer for routers and typed-decision models like Jev & Laya. It is categorized as a Codex Skill with 672 GitHub stars.
Intent-Router is primarily written in Python. It covers topics such as agent-skills, agentic, ai-agents.
You can find installation instructions and usage details in the Intent-Router GitHub repository at github.com/angel291592/Intent-Router. The project has 672 stars and 70 forks, indicating an active community.
Intent-Router is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Intent-Router on Agent Skills Hub include awesome-agent-skills, agent-skills, awesome-ai-agent-skills. 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: