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 Cassette-Editor/oh-my-cassette --skill cassette-modelgit clone --depth 1 https://github.com/Cassette-Editor/oh-my-cassetteWrote 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/cassette-editor/oh-my-cassette/cassette-model)<a href="https://agentmods.dev/skills/cassette-editor/oh-my-cassette/cassette-model"><img src="https://agentmods.dev/badge/skills/cassette-editor/oh-my-cassette/cassette-model/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/cassette-editor/oh-my-cassette/cassette-model"><img src="https://agentmods.dev/badge/skills/cassette-editor/oh-my-cassette/cassette-model.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 | $0.00050 | $0.00351 |
| Opus 5 | $0.00025 | $0.00176 |
| Sonnet 5 | $0.00010 | $0.00070 |
| Haiku 4.5 | $0.00005 | $0.00035 |
Grade A, and why
cassette-model 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 11d 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.
This is a copy
100% identical to cassette-model — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Cassette model picker
This is an explicit settings action. Never invoke it automatically during media ingestion or before
an edit. A fresh Cassette session already uses GPT-5.6 Luna with xhigh thinking.
- Reuse the active Cassette
session_idfrom the current conversation. If no Cassette media session exists yet, tell the user to add media first; do not invent an id or create an edit. - Call
cassette_configwith onlysession_idto read the current selection and static options. - If the invocation already names a valid model and/or thinking level, call
cassette_configwith those values and confirm the saved choice in one line. - Otherwise show the model and thinking choices as two compact numbered lists and wait for the
user's selections. Then call
cassette_configwith the selected model label and thinking value. - Explain that the setting is scoped to this Cassette session and applies from the next edit turn.
Selectable models are GPT-5.6 Luna and GPT-5.4 Mini. Thinking values are off, minimal, low,
medium, high, and xhigh (display xhigh as “Extra High”).
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.
- 11d ago First seen · 27 lines · 50 tokens per session scan A b5a0636a8aa2
cassette-model is a skill published in the GitHub repository Cassette-Editor/oh-my-cassette (132 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 351 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to cassette-model, differing in 0 lines, and is treated as a copy.
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