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 Ghiles3232/weckr-sdks --skill weckr-model-pricinggit clone --depth 1 https://github.com/Ghiles3232/weckr-sdksWrote 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/ghiles3232/weckr-sdks/weckr-model-pricing)<a href="https://agentmods.dev/skills/ghiles3232/weckr-sdks/weckr-model-pricing"><img src="https://agentmods.dev/badge/skills/ghiles3232/weckr-sdks/weckr-model-pricing/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/ghiles3232/weckr-sdks/weckr-model-pricing"><img src="https://agentmods.dev/badge/skills/ghiles3232/weckr-sdks/weckr-model-pricing.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 | $0.00100 | $0.01749 |
| Opus 5 | $0.00050 | $0.00874 |
| Sonnet 5 | $0.00020 | $0.00350 |
| Haiku 4.5 | $0.00010 | $0.00175 |
Grade A, and why
weckr-model-pricing 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 12d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Weckr model pricing
A maintained reference of per-token API prices for the models Weckr supports. Prices are US dollars per million tokens, split into input (prompt) and output (completion), with a cached-input rate where the provider offers prompt caching. This mirrors the price table shipped in the Weckr SDK (@weckr/sdk), so it matches what Weckr uses to recompute cost server side.
Provider prices change often. Treat this as a fast reference, not a contract: for anything you bill on, confirm the live number at the provider's pricing page. Verification dates are noted per provider below.
When to use this skill
Use it when a user wants a price, not an integration. For example:
- What does gpt-5.4-mini cost per token, or per thousand calls.
- Which model is cheapest for a summarization or classification job.
- Compare Claude Opus 4.8 against Sonnet 4.6, or Gemini against Kimi, on price.
- Roughly what a prompt of N input tokens and M output tokens will cost.
If the user wants to project the cost of a specific feature per user, or wants continuous per user cost tracking in production, that is the weckr-cost-estimator and weckr-integration skills, not this one.
Get the live numbers first
For the current prices, fetch the canonical Weckr price feed and read from it:
https://useweckr.com/pricing.json
It is JSON, generated from the same table Weckr uses to recompute cost, so it is always current. Shape: models["gpt-5.4-mini"] = { provider, input, output, cachedInput, cacheWrite? }, prices in USD per million tokens, plus a lastVerified date per provider. If the fetch is unavailable, fall back to the table below, which is a dated snapshot and may have drifted.
Current generation prices (USD per 1,000,000 tokens, dated fallback)
OpenAI (Standard tier, verified 2026-08-05)
| Model | Input | Output | Cached input |
|---|---|---|---|
| gpt-5.6-sol | 5.00 | 30.00 | 0.50 |
| gpt-5.6-terra | 2.00 | 12.00 | 0.20 |
| gpt-5.6-luna | 0.20 | 1.20 | 0.02 |
| gpt-5.5-pro | 30.00 | 180.00 | 3.00 |
| gpt-5.5 | 5.00 | 30.00 | 0.50 |
| gpt-5.4-pro | 30.00 | 180.00 | 3.00 |
| gpt-5.4 | 2.50 | 15.00 | 0.25 |
| gpt-5.4-mini | 0.75 | 4.50 | 0.075 |
| gpt-5.4-nano | 0.20 | 1.25 | 0.02 |
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.
- 12d ago First seen · 101 lines · 100 tokens per session scan A 008b01d5c016
weckr-model-pricing is a skill published in the GitHub repository Ghiles3232/weckr-sdks (8 stars, last pushed 19d ago), licensed MIT. It adds 100 tokens to every session and 1,749 once invoked, about $0.0005 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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