llm-intent-parsing

llm-intent-parsing is a cursor rule for Cursor from pdufour/browser-use-wasm. It costs 245 tokens per session, scanned A, original, no licence file.

A rule that sends voice transcripts and the “Run task” goal through the same language-model path, using a task, screenshot, and structured action details.

In plain words
What is it for?
Parsing voice or typed task requests into actions, values, and screen positions for UI navigation.
Why use it?
It keeps different ways of entering a task consistent with the same interpretation process.

Cursor rule for Cursor

Written for Cursor: installed under .cursor/.

Install

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.

agentmods
npx agentmods add rules/pdufour/browser-use-wasm/llm-intent-parsing
Clone the repo
git clone --depth 1 https://github.com/pdufour/browser-use-wasm

Made for: Cursor.

Wrote 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.

agentmods badge for llm-intent-parsing

README.md
[![agentmods](https://agentmods.dev/badge/rules/pdufour/browser-use-wasm/llm-intent-parsing.svg)](https://agentmods.dev/rules/pdufour/browser-use-wasm/llm-intent-parsing)
Your own site
<a href="https://agentmods.dev/rules/pdufour/browser-use-wasm/llm-intent-parsing"><img src="https://agentmods.dev/badge/rules/pdufour/browser-use-wasm/llm-intent-parsing.svg" alt="Measured on agentmods" height="20"></a>
Per session 245 This file is loaded in full into every session.
When invoked 245 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00245 $0.00245
Opus 5 $0.00122 $0.00122
Sonnet 5 $0.00049 $0.00049
Haiku 4.5 $0.00024 $0.00024

Measured 6d ago against content hash 38479078b670, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

llm-intent-parsing 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 6d 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.

.cursor/rules/llm-intent-parsing.mdc · 14 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Changes

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.

  1. 6d ago First seen · 14 lines · 245 tokens per session scan A 38479078b670

Subscribe to this mod's changes

llm-intent-parsing is a cursor rule published in the GitHub repository pdufour/browser-use-wasm (15 stars, last pushed 2mo ago), with no licence file. It adds 245 tokens to every session, about $0.0012 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.