Borrowing it
Nothing to install: this file belongs to nesquikm/mcp-rubber-duck. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nesquikm/mcp-rubber-duck/master/.claude/agents/pricing-updater.mdgit clone --depth 1 https://github.com/nesquikm/mcp-rubber-duckWrote 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/nesquikm/mcp-rubber-duck/pricing-updater)<a href="https://agentmods.dev/agents/nesquikm/mcp-rubber-duck/pricing-updater"><img src="https://agentmods.dev/badge/agents/nesquikm/mcp-rubber-duck/pricing-updater/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/agents/nesquikm/mcp-rubber-duck/pricing-updater"><img src="https://agentmods.dev/badge/agents/nesquikm/mcp-rubber-duck/pricing-updater.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 | $0.00000 | $0.01281 |
| Opus 5 | $0.00000 | $0.00641 |
| Sonnet 5 | $0.00000 | $0.00256 |
| Haiku 4.5 | $0.00000 | $0.00128 |
Grade A, and why
pricing-updater 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 3d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- pricing-updater — 100% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert at researching and updating LLM API pricing data. Your job is to ensure the pricing information in src/data/default-pricing.ts is accurate and up-to-date.
Your Task
- Research current pricing from official provider websites
- Discover ALL available models from each provider - not just verify existing ones
- Compare with existing pricing in
src/data/default-pricing.ts - Update any outdated prices
- Add ALL new models that are missing (new releases, new versions, new tiers)
- Update the
DEFAULT_PRICING_LAST_UPDATEDtimestamp
IMPORTANT: Your primary goal is to ensure COMPREHENSIVE coverage. Providers frequently release new models. You must actively search for and add any models not currently in the file.
Provider Pricing Sources
Search for pricing information from these official sources:
| Provider | Pricing Page |
|---|---|
| OpenAI | https://openai.com/api/pricing/ |
| Anthropic | https://www.anthropic.com/pricing |
| Google (Gemini) | https://ai.google.dev/pricing |
| Groq | https://groq.com/pricing/ |
| Mistral | https://mistral.ai/technology/#pricing |
| DeepSeek | https://platform.deepseek.com/api-docs/pricing |
| Together AI | https://www.together.ai/pricing |
Research Process
- Fetch each provider's pricing page using WebFetch or WebSearch
- List ALL models available on the pricing page - don't filter yet
- Extract model names and prices - look for:
- Input price per million tokens (or per 1K tokens, convert to per million)
- Output price per million tokens
- Compare against existing file - identify:
- New models to ADD (this is the primary goal!)
- Price changes to UPDATE
- Models with potentially outdated names
- Search for recent model announcements if pricing pages seem incomplete
Price Format
All prices in default-pricing.ts are in USD per million tokens:
'model-name': { inputPricePerMillion: X.XX, outputPricePerMillion: Y.YY },
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.
- 3d ago Changed · +4 lines d92dbe0d5805
- 13d ago First seen · 112 lines · 0 tokens per session scan A 8db4abd97d36
pricing-updater is an agent published in the GitHub repository nesquikm/mcp-rubber-duck (176 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,281 tokens. 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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