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.
git 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/commands/cassette-editor/oh-my-cassette/cassette-model)<a href="https://agentmods.dev/commands/cassette-editor/oh-my-cassette/cassette-model"><img src="https://agentmods.dev/badge/commands/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/commands/cassette-editor/oh-my-cassette/cassette-model"><img src="https://agentmods.dev/badge/commands/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 | $0.00015 | $0.00169 |
| Opus 5 | $0.00008 | $0.00084 |
| Sonnet 5 | $0.00003 | $0.00034 |
| Haiku 4.5 | $0.00002 | $0.00017 |
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.
What it actually says
Open the Oh My Cassette model picker for the active Cassette media session.
Use the cassette MCP server's cassette_config tool. Reuse the active session_id; never invent
one. If there is no active media session, tell the user to add media first. Do not start an edit.
If $ARGUMENTS names a valid model or thinking level, save it directly and confirm that it applies
from the next edit turn. Otherwise read the current configuration, show compact numbered model and
thinking lists, wait for the user's choice, and save it. The default is GPT-5.6 Luna with xhigh
thinking. Never open this picker automatically as part of an ordinary edit.
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 · 14 lines · 15 tokens per session scan A 1fdf858450c7
cassette-model is a command published in the GitHub repository Cassette-Editor/oh-my-cassette (132 stars, last pushed yesterday), licensed MIT. It adds 15 tokens to every session and 169 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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