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/anzy-renlab-ai/pronounceWrote 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/rules/anzy-renlab-ai/pronounce/cursorrules)<a href="https://agentmods.dev/rules/anzy-renlab-ai/pronounce/cursorrules"><img src="https://agentmods.dev/badge/rules/anzy-renlab-ai/pronounce/cursorrules/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/rules/anzy-renlab-ai/pronounce/cursorrules"><img src="https://agentmods.dev/badge/rules/anzy-renlab-ai/pronounce/cursorrules.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 | $0.00314 | $0.00314 |
| Opus 5.5 | $0.00126 | $0.00126 |
| Sonnet 5.5 | $0.00063 | $0.00063 |
| Haiku 4.5 | $0.00031 | $0.00031 |
Grade A, and why
cursorrules scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Pronounce integration for Cursor
Drop into your project root as .cursorrules, or merge with your existing one.
Cursor will pick this up and route pronunciation questions to the say-it CLI.
When the user asks how to pronounce a project name, product name, programmer jargon, or tech acronym (English "how do you pronounce X" / "pronounce X" / Chinese "X 怎么读" / "X 怎么发音"), do this:
- Run
say-it "$WORD"— plays the audio through macOS speakers using a community-maintained dictionary of how engineers actually pronounce things. - Run
say-it --json "$WORD"to get the IPA, alternates, source URL, and confidence level for the citation. - Reply with the IPA, the respelling, and the source citation. For contested
words (GIF, SQL, JSON, kubectl, ...), mention the alternate reading and how
to play it (
say-it --alt <word>).
Constraints:
- Tech terms only. Not for general English vocabulary.
- General American English only.
- If the word isn't in the dictionary,
say-it --why <word>prints "did you mean" suggestions — surface those to the user before guessing.
Install if not already on $PATH: git clone https://github.com/anzy-renlab-ai/pronounce.git cd pronounce && ./install.sh
Browse the dictionary: https://pronounce.renlab.ai
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.
- 1mo ago First seen · 30 lines · 314 tokens per session scan A 3d0aeb5e3201
cursorrules is a cursor rule published in the GitHub repository anzy-renlab-ai/pronounce (42 stars, last pushed 1mo ago), licensed MIT. It adds 314 tokens to every session, about $0.0013 per session on Opus 5.5. 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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caliber-conventions
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code-style
Formatting, lint, comments language.
bundling
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search-for-the-lemma
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python-style
Python coding standards in ableton-cli.