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 | $0.00032 | $0.00611 |
| Opus 5 | $0.00016 | $0.00305 |
| Sonnet 5 | $0.00006 | $0.00122 |
| Haiku 4.5 | $0.00003 | $0.00061 |
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 8d 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.
What it actually says
[!IMPORTANT] AI Context & Knowledge Heritage
- Subsystem: Agent Skills Registry / intelligent-routing
- Architecture:
@docs ARCHITECTURE:Documentation- Failure Path: Information drift, legacy terminology, or documentation mismatch.
- Observability: Traceability via
execution/parity_guard.py([SKILL])
Intelligent Agent Routing Protocol
Purpose: Automatically analyze incoming user requests and route them to the most appropriate specialist agent(s) without requiring explicit user mentions.
🎯 Progressive Disclosure & L3 Reference Index
Read REQUIRED 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, multi-domain resolution | Complex task decomposition & agent roster |
1. Request Analysis & Complexity Tiers
Analyze every incoming request across 3 dimensions:
USER PROMPT ➔ Classify Intent ➔ Assess Complexity ➔ Select Specialist(s)
| Complexity Tier | Characteristics | Action / Protocol |
|---|---|---|
| SIMPLE | Single file, single domain (e.g. "Fix the button styling") | Auto-apply specialist directly with transparent indicator. |
| MODERATE | 2–3 files, single layer (e.g. "Add a new REST endpoint") | Auto-apply relevant specialist(s) sequentially. |
| COMPLEX | Multi-layer, architectural, new app (e.g. "Add login with dark mode UI") | Orchestrator Protocol: Propose implementation plan; wait for confirmation. |
2. Transparent Specialist Indication
When applying a specialist agent's domain knowledge, indicate it cleanly to the user:
🤖 **Applying knowledge of `@nexus-engineer` + `@tadpole-backend-specialist`...**
[Proceed directly with the specialized response or action]
3. Core Operational Directives
- Silent Analysis: Perform domain matching instantly without meta-chatter ("I am analyzing your prompt...").
- Explicit Mention Override: If the user explicitly mentions
@agent-name, override automated routing. - Socratic Gate Integration: Routing does NOT bypass the Socratic gate. If requirements are ambiguous, clarify trade-offs first before generating code.
What ships with it
1 file 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.
- 8d 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 yesterday), licensed MIT. It adds 32 tokens to every session and 611 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 2026-09-03.
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