fuzzing

fuzzing is a cursor rule for Cursor from quinnjr/skia-rs. It costs 0 tokens per session (412 once invoked), scanned A, original, Apache-2.0.

Fuzzing guidance for skia-rs, a Rust graphics library. Fuzzing tests software with many automatically generated inputs to find crashes and other unexpected behavior.

In plain words
What is it for?
Running and writing fuzz tests for points, shapes, matrices, colors, paths, paint, and canvas operations.
Why use it?
It provides a defined setup and targets for checking how graphics operations handle unusual or invalid data.

Cursor rule for 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/quinnjr/skia-rs/fuzzing
Clone the repo
git clone --depth 1 https://github.com/quinnjr/skia-rs

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 fuzzing

README.md
[![agentmods](https://agentmods.dev/badge/rules/quinnjr/skia-rs/fuzzing.svg)](https://agentmods.dev/rules/quinnjr/skia-rs/fuzzing)
Your own site
<a href="https://agentmods.dev/rules/quinnjr/skia-rs/fuzzing"><img src="https://agentmods.dev/badge/rules/quinnjr/skia-rs/fuzzing.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Nothing until a file matches its globs; then the whole rule loads.
When invoked 412 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original 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 $0.00000 $0.00412
Opus 5 $0.00000 $0.00206
Sonnet 5 $0.00000 $0.00082
Haiku 4.5 $0.00000 $0.00041

Measured 3d ago against content hash ea8561eddd48, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fuzzing 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 3d 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/fuzzing.mdc · 78 lines

What it actually says

Fuzzing

Setup

# Install nightly toolchain and cargo-fuzz
rustup install nightly
cargo install cargo-fuzz

Running Fuzz Tests

# Run a fuzz target
cd fuzz
cargo +nightly fuzz run fuzz_point

# Run with time limit
cargo +nightly fuzz run fuzz_matrix -- -max_total_time=60

# List all targets
cargo +nightly fuzz list

Available Fuzz Targets

  • fuzz_point - Point operations
  • fuzz_rect - Rectangle operations
  • fuzz_matrix - Matrix transformations
  • fuzz_color - Color conversions
  • fuzz_path - Path construction
  • fuzz_path_builder - PathBuilder shapes
  • fuzz_paint - Paint configuration
  • fuzz_canvas - Canvas operations

Writing Fuzz Targets

#![no_main]

use arbitrary::Arbitrary;
use libfuzzer_sys::fuzz_target;

#[derive(Debug, Arbitrary)]
struct MyInput {
    value: f32,
    flag: bool,
}

fuzz_target!(|input: MyInput| {
    // Skip invalid inputs early
    if !input.value.is_finite() {
        return;
    }

    // Test code that should not panic
    let result = my_function(input.value);

    // Assert invariants
    assert!(result.is_valid());
});

Best Practices

  • Use Arbitrary derive for structured input
  • Validate and skip invalid inputs early
  • Limit resource usage (iteration counts, sizes)
  • Assert invariants, not expected failures
  • Keep fuzz targets focused on specific functionality
  • The fuzz crate uses edition = "2021" due to libfuzzer-sys requirements
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. 3d ago First seen · 78 lines · 0 tokens per session scan A ea8561eddd48

Subscribe to this mod's changes

fuzzing is a cursor rule published in the GitHub repository quinnjr/skia-rs (32 stars, last pushed 16d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 412 tokens. 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 2026-09-01.