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 skills/apiliumcode/mayros/cost-optimizernpx skills add ApiliumCode/mayros --skill cost-optimizergit clone --depth 1 https://github.com/ApiliumCode/mayrosWhat 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 | $0.00013 | $0.00220 |
| Opus 5 | $0.00006 | $0.00110 |
| Sonnet 5 | $0.00003 | $0.00044 |
| Haiku 4.5 | $0.00001 | $0.00022 |
Grade A, and why
cost-optimizer 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 2d 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
cost-optimizer
Detect cost optimization opportunities for Claude API usage by analyzing usage patterns and recommending pricing-aware strategies.
When to Use
Use when analyzing API usage costs, planning batch processing workflows, or optimizing prompt engineering for cost efficiency. The skill evaluates 6 optimization rules: prompt caching, model downgrade, Batch API, streaming, output limits, and context trimming.
Instructions
- Recall previous cost analysis with
skill_memory_contextusing predicatecost:opportunity - The skill scans usage data for patterns indicating optimization potential
- Each detected opportunity includes an estimated savings percentage
- Review recommendations and apply the most impactful changes first
- Re-run periodically to track cost reduction progress over time
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.
- 2d ago First seen · 31 lines · 13 tokens per session scan A 730926adc692
cost-optimizer is a skill published in the GitHub repository ApiliumCode/mayros (12 stars, last pushed 1mo ago), licensed MIT. It adds 13 tokens to every session and 220 once invoked, about $0.0001 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 2026-08-30.
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