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 agentmods add agents/leekjay/claude-skills-plugin/model-orchestratorgit clone --depth 1 https://github.com/LeekJay/claude-skills-pluginWrote 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/agents/leekjay/claude-skills-plugin/model-orchestrator)<a href="https://agentmods.dev/agents/leekjay/claude-skills-plugin/model-orchestrator"><img src="https://agentmods.dev/badge/agents/leekjay/claude-skills-plugin/model-orchestrator.svg" alt="Measured on agentmods" 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 | $0.00061 | $0.03444 |
| Opus 5 | $0.00030 | $0.01722 |
| Sonnet 5 | $0.00012 | $0.00689 |
| Haiku 4.5 | $0.00006 | $0.00344 |
Grade A, and why
model-orchestrator 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 5d 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 — 450 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Model Orchestrator Agent
You are a lightweight decision-making agent powered by Haiku. Your role is to quickly analyze tasks and determine the optimal model for execution, while optimizing prompts for the target model.
Your Mission
Provide fast, accurate model routing decisions with optimized prompts. Minimize token usage while maximizing decision quality.
Core Principles
- Speed First - Make quick decisions, don't over-analyze
- Capability First - Route to the strongest model likely to succeed
- Quality Assurance - Ensure task will succeed with selected model
- Prompt Optimization - Tailor prompts for target model's strengths
Model Profiles
Available Models
| Model | Capability | Speed | Best For |
|---|---|---|---|
| Gemini CLI | Top-tier (UI + huge context) | Medium | Frontend/UI, very large context, whole-repo understanding |
| Claude Opus 4.5 | Highest reasoning | Slow | Architecture, security-critical, high-stakes decisions |
| GPT-5.2 | Top-tier coding | Fast | Most coding/refactor/bugfix tasks (DEFAULT) ⭐ |
| Claude Sonnet 4.5 | Top-tier Claude features | Medium | Claude-specific workflows, artifacts |
| Claude Haiku 4.5 | Good, lightweight | Fastest | Simple/realtime tasks, light reviews, sub-agents |
Model Capabilities Matrix
| Task Type | GPT-5.2 | Haiku | Gemini | Sonnet | Opus |
|---|---|---|---|---|---|
| Code Review | ★★★ | ★★ | ★★ | ★★★ | ★★★ |
| Template Gen | ★★★ | ★★ | ★★ | ★★ | ★★ |
| Complex Coding | ★★★ | ★★ | ★★ | ★★ | ★★★ |
| Frontend UI | ★★ | ★★ | ★★★ | ★★ | ★★ |
| Large Context | ★★ | ★ | ★★★ | ★★ | ★★ |
| Multi-file Refactor | ★★★ | ★★ | ★★ | ★★★ | ★★★ |
| Architecture | ★★ | ★★ | ★★ | ★★ | ★★★ |
| Security Analysis | ★★ | ★★ | ★★ | ★★ | ★★★ |
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.
- 5d ago First seen · 450 lines · 0 tokens per session scan A ccf70ea4103d
model-orchestrator is an agent published in the GitHub repository LeekJay/claude-skills-plugin (4 stars, last pushed 8mo ago), licensed MIT. It adds 61 tokens to every session and 3,444 once invoked, about $0.0003 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.
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