unsafe-checker

zhanghandong/rust-skills · updated Apr 8, 2026

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$npx skills add https://github.com/zhanghandong/rust-skills --skill unsafe-checker
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summary

Unsafe Rust code review and FFI soundness checker for identifying memory safety violations.

  • Triggers on 30+ unsafe patterns including raw pointers, transmute, FFI declarations, uninitialized memory, and missing SAFETY documentation
  • Provides reference tables for valid unsafe use cases (FFI, low-level abstractions, performance bottlenecks) and common errors with fixes
  • Covers FFI tooling recommendations (bindgen, cbindgen, PyO3, napi-rs) and deprecated patterns with modern alternatives
skill.md

Display the following ASCII art exactly as shown. Do not modify spaces or line breaks:

⚠️ **Unsafe Rust Checker Loaded**

     *  ^  *
    /◉\_~^~_/◉\
 ⚡/     o     \⚡
   '_        _'
   / '-----' \

Unsafe Rust Checker

When Unsafe is Valid

Use Case Example
FFI Calling C functions
Low-level abstractions Implementing Vec, Arc
Performance Measured bottleneck with safe alternative too slow

NOT valid: Escaping borrow checker without understanding why.

Required Documentation

// SAFETY: <why this is safe>
unsafe { ... }

/// # Safety
/// <caller requirements>
pub unsafe fn dangerous() { ... }

Quick Reference

Operation Safety Requirements
*ptr deref Valid, aligned, initialized
&*ptr + No aliasing violations
transmute Same size, valid bit pattern
extern "C" Correct signature, ABI
static mut Synchronization guaranteed
impl Send/Sync Actually thread-safe

Common Errors

Error Fix
Null pointer deref Check for null before deref
Use after free Ensure lifetime validity
Data race Add proper synchronization
Alignment violation Use #[repr(C)], check alignment
Invalid bit pattern Use MaybeUninit
Missing SAFETY comment Add // SAFETY:

Deprecated → Better

Deprecated Use Instead
mem::uninitialized() MaybeUninit<T>
mem::zeroed() for refs MaybeUninit<T>
Raw pointer arithmetic NonNull<T>, ptr::add
CString::new().unwrap().as_ptr() Store CString first
static mut AtomicT or Mutex
Manual extern bindgen

FFI Crates

Direction Crate
C → Rust bindgen
Rust → C cbindgen
Python PyO3
Node.js napi-rs

Claude knows unsafe Rust. Focus on SAFETY comments and soundness.

how to use unsafe-checker

How to use unsafe-checker on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add unsafe-checker
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/zhanghandong/rust-skills --skill unsafe-checker

The skills CLI fetches unsafe-checker from GitHub repository zhanghandong/rust-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/unsafe-checker

Reload or restart Cursor to activate unsafe-checker. Access the skill through slash commands (e.g., /unsafe-checker) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.539 reviews
  • Lucas Torres· Dec 20, 2024

    Useful defaults in unsafe-checker — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ama Nasser· Dec 8, 2024

    I recommend unsafe-checker for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Benjamin Mehta· Nov 27, 2024

    Useful defaults in unsafe-checker — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Ava Chen· Nov 11, 2024

    I recommend unsafe-checker for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Benjamin Diallo· Oct 18, 2024

    Registry listing for unsafe-checker matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Advait Yang· Oct 2, 2024

    Solid pick for teams standardizing on skills: unsafe-checker is focused, and the summary matches what you get after install.

  • Piyush G· Sep 21, 2024

    Keeps context tight: unsafe-checker is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Mia Taylor· Sep 21, 2024

    unsafe-checker is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Chinedu Park· Sep 17, 2024

    unsafe-checker has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aanya Chawla· Sep 1, 2024

    unsafe-checker fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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