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 ApiliumCode/mayros --skill model-advisorgit clone --depth 1 https://github.com/ApiliumCode/mayrosWrote 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/apiliumcode/mayros/model-advisor)<a href="https://agentmods.dev/skills/apiliumcode/mayros/model-advisor"><img src="https://agentmods.dev/badge/skills/apiliumcode/mayros/model-advisor/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/apiliumcode/mayros/model-advisor"><img src="https://agentmods.dev/badge/skills/apiliumcode/mayros/model-advisor.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 | $0.00018 | $0.00330 |
| Opus 5.5 | $0.00007 | $0.00132 |
| Sonnet 5.5 | $0.00004 | $0.00066 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
model-advisor 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 1mo 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
model-advisor
Recommends the optimal Claude model based on task requirements, complexity analysis, and cost efficiency.
When to Use
Use when choosing between Claude models for a specific task, when optimizing API costs, or when you need guidance on which model best fits a workload profile.
Supported Models
| Model | Input | Output | Best For |
|---|---|---|---|
| Opus 4.6 | $15/MTok | $75/MTok | Complex reasoning, research, multi-step analysis, code architecture, creative writing |
| Sonnet 4.6 | $3/MTok | $15/MTok | Coding, general tasks, data analysis, moderate complexity |
| Haiku 4.5 | $0.80/MTok | $4/MTok | Classification, extraction, simple Q&A, high volume, low latency |
Instructions
- Recall any previous model recommendations with
skill_memory_context - Analyze the task description from query results for complexity indicators
- Match task keywords against model strengths to determine the best fit
- Return the recommended model with rationale and cost comparison
What ships with it
9 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.
- 1mo ago First seen · 38 lines · 18 tokens per session scan A c30fe86f93b3
model-advisor is a skill published in the GitHub repository ApiliumCode/mayros (13 stars, last pushed 3mo ago), licensed MIT. It adds 18 tokens to every session and 330 once invoked, about $0.0001 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 2026-08-30.
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