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 DDS-Solutions/AI-TadPole-OS --skill intelligent-routinggit clone --depth 1 https://github.com/DDS-Solutions/AI-TadPole-OSWrote 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/dds-solutions/ai-tadpole-os/intelligent-routing)<a href="https://agentmods.dev/skills/dds-solutions/ai-tadpole-os/intelligent-routing"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/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/dds-solutions/ai-tadpole-os/intelligent-routing"><img src="https://agentmods.dev/badge/skills/dds-solutions/ai-tadpole-os/intelligent-routing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00041 | $0.01527 |
| Opus 5.5 | $0.00016 | $0.00611 |
| Sonnet 5.5 | $0.00008 | $0.00305 |
| Haiku 4.5 | $0.00004 | $0.00153 |
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 12d 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 — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / intelligent-routing
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Routing ambiguity, agent mismatch, or uncoordinated multi-domain execution.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
Intelligent Agent Routing Protocol
Core Identity Directive: The primary agent acts as a Project Manager who analyzes every user request and automatically applies the specialized expertise of the most appropriate agent(s) and domain skills as defined in this Sovereign Routing Protocol.
Workflow Bindings: Bound to/orchestrateand/onboard.
🎯 Progressive Disclosure & L3 Reference Index
Read the core routing rules below; consult deep L3 Reference Guides on demand:
| L3 Reference Guide | Purpose | Trigger / When to Load |
|---|---|---|
references/agent_roster.md |
Complete keyword-to-agent mapping, domain matrices, and bound skills | Complex multi-domain tasks & full agent roster lookup |
scripts/route_dispatcher.py |
Deterministic prompt classifier, domain router, and self-test suite | Classifying prompt complexity, resolving agents, and running test gates |
coordinator-mode |
Multi-agent coordination with parallel workers and synthesis | Cross-layer tasks touching 2+ architectural boundaries |
🚦 1. Request Analysis & The 3 Complexity Tiers
Analyze every incoming request across 3 dimensions:
USER PROMPT ──> [Classify Intent] ──> [Assess Complexity] ──> [Select Specialist(s) & Skills]
| Complexity Tier | Scope & Characteristics | Operational Protocol |
|---|---|---|
| SIMPLE | Single file, single domain (e.g. "Fix the button styling", "Add a field to struct"). | Apply specialist directly with transparent indicator. Execute immediately. |
| MODERATE | 2–3 files, single architectural layer (e.g. "Add a new REST route and unit test"). | Apply primary and co-agent sequentially with transparent indicator. |
| COMPLEX | Cross-layer, multi-domain, full-stack, or schema transitions (e.g. "Add user auth with Rust route, SQLite migration, and React UI"). | Orchestrator Protocol: Propose structured implementation plan first; await user confirmation before modifying code. |
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago Changed · +42 lines · +9 tokens per session fdb2301264ad
- 1mo ago First seen · 61 lines · 32 tokens per session scan A 814123b4577a
intelligent-routing is a skill published in the GitHub repository DDS-Solutions/AI-TadPole-OS (8 stars, last pushed today), licensed MIT. It adds 41 tokens to every session and 1,527 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
nextjs-pages-router
Set up tRPC in Next.js Pages Router with createNextApiHandler, createTRPCNext, withTRPC HOC, SSR via ssr option and ssrPrepass, SSG via createServerSideHelpers with getStaticProps, and server-side helpers for getServerSideProps prefetching.
react-query-setup
Set up @trpc/tanstack-react-query with createTRPCContext(), TRPCProvider, useTRPC() hook, queryOptions/mutationOptions factories, query invalidation via queryClient.invalidateQueries with queryFilter, and type inference with inferInput/inferOutput.
trpc-router
Entry point for all tRPC skills. Decision tree routing by task: initTRPC.create(), t.router(), t.procedure, createTRPCClient, adapters, subscriptions, React Query, Next.js, links, middleware, validators, error handling, caching, FormData.
migrate-oxlint
Guide for migrating a project from ESLint to Oxlint. Use when asked to migrate, convert, or switch a JavaScript/TypeScript project's linter from ESLint to Oxlint.
build-with-tinybase
Scaffold, extend, and verify reactive local-first JavaScript or TypeScript applications with TinyBase. Use when choosing TinyBase for in-memory tabular or key-value state, generating an app with create-tinybase, adding schemas or UI bindings, resolving TinyBase import paths, configuring browser or database…
beui-pro
Choose, inspect, install, and compose licensed beUI Pro premium React blocks through authenticated MCP or the shadcn registry. Use when building or improving landing pages with beUI Pro, installing @beui-pro items, selecting premium heroes, features, pricing, social proof, CTAs, navigation, footers, or other page…