Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ashrafmusa/agenticana --skill intelligent-routinggit clone --depth 1 https://github.com/ashrafmusa/agenticanaWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ashrafmusa/agenticana/intelligent-routing)<a href="https://agentmods.dev/skills/ashrafmusa/agenticana/intelligent-routing"><img src="https://agentmods.dev/badge/skills/ashrafmusa/agenticana/intelligent-routing/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ashrafmusa/agenticana/intelligent-routing"><img src="https://agentmods.dev/badge/skills/ashrafmusa/agenticana/intelligent-routing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00032 | $0.02900 |
| Opus 5 | $0.00016 | $0.01450 |
| Sonnet 5 | $0.00006 | $0.00580 |
| Haiku 4.5 | $0.00003 | $0.00290 |
Grade A, and why
intelligent-routing scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 377 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Intelligent Agent Routing (With Self-Evolving Soul 🦅)
Purpose: Automatically analyze user requests, retrieve past "Soul Memory", and route them to the most appropriate specialist agent(s).
Core Principle
The AI acts as an evolving entity, retrieving wisdom from the ReasoningBank before every specialist invocation.
How It Works
1. Request Analysis & Soul Retrieval
Before responding to ANY user request, perform the following:
graph TD
A[User Request] --> B[Phase -1: SOUL RETRIEVAL]
B --> RB[(ReasoningBank)]
RB -->|Top 3 Patterns| C[ANALYZE & ROUTE]
C --> D[Keywords + Domains]
D --> E[SELECT AGENT]
E --> F[Inject Soul Memory into Agent Context]
F --> G[GO!]
2. Agent Selection Matrix
Use this matrix to automatically select agents:
| User Intent | Keywords | Selected Agent(s) | Auto-invoke? |
|---|---|---|---|
| Authentication | "login", "auth", "signup", "password" | security-auditor + backend-specialist |
✅ YES |
| UI Component | "button", "card", "layout", "style" | frontend-specialist |
✅ YES |
| Mobile UI | "screen", "navigation", "touch", "gesture" | mobile-developer |
✅ YES |
| API Endpoint | "endpoint", "route", "API", "POST", "GET" | backend-specialist |
✅ YES |
| Database | "schema", "migration", "query", "table" | database-architect + backend-specialist |
✅ YES |
| Bug Fix | "error", "bug", "not working", "broken" | debugger |
✅ YES |
| Test | "test", "coverage", "unit", "e2e" | test-engineer |
✅ YES |
| Deployment | "deploy", "production", "CI/CD", "docker" | devops-engineer |
✅ YES |
| Security Review | "security", "vulnerability", "exploit" | security-auditor + penetration-tester |
✅ YES |
| Performance | "slow", "optimize", "performance", "speed" | performance-optimizer |
✅ YES |
| Product Def | "requirements", "user story", "backlog", "MVP" | product-owner |
✅ YES |
| New Feature | "build", "create", "implement", "new app" | orchestrator → multi-agent |
⚠️ ASK FIRST |
| Complex Task | Multiple domains detected | orchestrator → multi-agent |
⚠️ ASK FIRST |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 377 lines · 32 tokens per session scan A f440e00a733b
intelligent-routing is a skill published in the GitHub repository ashrafmusa/agenticana (2 stars, last pushed 3d ago), licensed MIT. It adds 32 tokens to every session and 2,900 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
skill-creator-primer
You MUST load this skill before the skill-creator skill AND before making ANY change to, or conducting a review of ANY Agent Skill. Triggers include creating, editing, reviewing, or contributing to any part of an Agent Skill (description, frontmatter, body, references, scripts, trigger evals, conflicts, etc).
llm-wiki
Use when building or maintaining a self-contained personal knowledge base (an LLM wiki) in plain markdown. Triggers: ingesting sources into a wiki, querying wiki knowledge, linting wiki health, auditing article claims against their sources, critiquing a wiki source's reasoning, superseding stale knowledge, 'add to…
extract-wisdom
Extract wisdom, insights, and actionable takeaways from YouTube videos, blog posts, articles, or text files. Use when asked to extract wisdom or key insights from a given content source.
apply-mantel-styles
Provides guidelines for applying Mantel's brand styles to diagrams and frontend components. Use when asked to create visuals that need to align with Mantel's branding.
home-assistant
This skill should be used when helping with Home Assistant setup, including creating automations, modifying dashboards, checking entity states, debugging automations, and managing the smart home configuration. Use this for queries about HA entities, YAML automation/dashboard generation, or troubleshooting HA issues.
create-mcp-app
This skill should be used when the user asks to "create an MCP App", "add a UI to an MCP tool", "build an interactive MCP View", or needs guidance on MCP Apps SDK patterns, UI-resource registration, MCP App lifecycle, or host integration. Provides guidance for building MCP Apps with interactive UIs.