memory-leak-audit

microsoft/vscode · updated Apr 8, 2026

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$npx skills add https://github.com/microsoft/vscode --skill memory-leak-audit
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summary

The #1 bug category in VS Code. This skill encodes the patterns that prevent and fix leaks.

skill.md

Memory Leak Audit

The #1 bug category in VS Code. This skill encodes the patterns that prevent and fix leaks.

When to Use

  • Reviewing code that registers event listeners or DOM handlers
  • Fixing reported memory leaks (listener counts growing over time)
  • Creating objects in methods that are called repeatedly
  • Working with model lifecycle events (onWillDispose, onDidClose)
  • Adding event subscriptions in constructors or setup methods

Audit Checklist

Work through each check in order. A single missed pattern can cause thousands of leaked objects.

Step 1: DOM Event Listeners

Rule: Never use raw .onload, .onclick, or addEventListener() directly. Always use addDisposableListener().

// BAD — leaks a listener every call
this.iconElement.onload = () => { ... };

// GOOD — tracked and disposable
this._register(addDisposableListener(this.iconElement, 'load', () => { ... }));

Validated by: PR #280566 — Extension icon widget leaked 185 listeners after 37 toggles.

Step 2: One-Time Events

Rule: Use Event.once() for events that should only fire once (lifecycle events, close events, first-change events).

// BAD — listener stays registered forever after first fire
model.onDidDispose(() => store.dispose());

// GOOD — auto-removes after first invocation
Event.once(model.onDidDispose)(() => store.dispose());

Validated by: PRs #285657, #285661 — Terminal lifecycle hacks replaced with Event.once().

Step 3: Repeated Method Calls

Rule: Objects created in methods called multiple times must NOT be registered to the class this._register(). Use MutableDisposable or return IDisposable to the caller.

// BAD — every call adds another listener to the class store
startSearch() {
    this._register(this.model.onResults(() => { ... }));
}

// GOOD — MutableDisposable ensures max 1 listener
private readonly _searchListener = this._register(new MutableDisposable());

startSearch() {
    this._searchListener.value = this.model.onResults(() => { ... });
}

When the event should only fire once per method call, combine Event.once() with MutableDisposable — this auto-removes the listener after the first invocation while still guarding against repeated calls:

private readonly _searchListener = this._register(new MutableDisposable());

startSearch() {
    this._searchListener.value = Event.once(this.model.onResults)(() => { ... });
}

Validated by: PR #283466 — Terminal find widget leaked 1 listener per search.

Step 4: Model-Tied DisposableStores

Rule: When creating a DisposableStore tied to a model's lifetime, register model.onWillDispose(() => store.dispose()) to the store itself.

const store = new DisposableStore();
store.add(model.onWillDispose(() => store.dispose()));
store.add(model.onDidChange(() => { ... }));

Validated by: Pattern used in chatEditingSession.ts, fileBasedRecommendations.ts, testingContentProvider.ts.

Step 5: Resource Pool Patterns

Rule: When using factory methods that create pooled objects (lists, trees), disposables must be registered to the individual item, not the pool class.

// BAD — registers to pool, never cleaned per item
createItem() {
    const item = new Item();
    this._register(item.onEvent(() => { ... }));
    return item;
}

// GOOD — wrap with item-scoped disposal
createItem(): IDisposable & Item {
    const store = new DisposableStore();
    const item = new Item();
    store.add(item.onEvent(() => { ... }));
    return { ...item, dispose: () => store.dispose() };
}

Validated by: PR #290505 — Chat content parts CollapsibleListPool and TreePool leaked disposables.

Step 6: Test Validation

Rule: Every test suite that creates disposable objects must call ensureNoDisposablesAreLeakedInTestSuite().

import { ensureNoDisposablesAreLeakedInTestSuite } from '../../../../base/test/common/utils.js';

suite('MyFeature', () => {
    ensureNoDisposablesAreLeakedInTestSuite();

    test('does something', () => {
        // test disposables are tracked automatically
    });
});

Quick Reference

Scenario Pattern Anti-Pattern
DOM events addDisposableListener() .onclick =, addEventListener()
One-time events Event.once(event)(handler) event(handler) for lifecycle
Repeated methods MutableDisposable or return IDisposable this._register() in non-constructor
Model lifecycle store.add(model.onWillDispose(...)) Forgetting cleanup
Pooled objects Item-scoped DisposableStore Pool-scoped this._register()
Tests ensureNoDisposablesAreLeakedInTestSuite() No leak checking

Verification

After fixing leaks, verify by:

  1. Checking listener counts before/after repeated operations
  2. Running ensureNoDisposablesAreLeakedInTestSuite() in tests
  3. Confirming object counts stabilize (don't grow linearly with usage)
how to use memory-leak-audit

How to use memory-leak-audit 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 memory-leak-audit
2

Execute installation command

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

$npx skills add https://github.com/microsoft/vscode --skill memory-leak-audit

The skills CLI fetches memory-leak-audit from GitHub repository microsoft/vscode 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/memory-leak-audit

Reload or restart Cursor to activate memory-leak-audit. Access the skill through slash commands (e.g., /memory-leak-audit) 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

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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)
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general reviews

Ratings

4.572 reviews
  • Zara Torres· Dec 28, 2024

    memory-leak-audit fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Sophia Khan· Dec 28, 2024

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

  • William Johnson· Dec 24, 2024

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

  • Chaitanya Patil· Dec 20, 2024

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

  • Tariq Okafor· Dec 16, 2024

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

  • Tariq Mensah· Dec 12, 2024

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

  • Layla Park· Nov 19, 2024

    memory-leak-audit is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sophia Reddy· Nov 19, 2024

    memory-leak-audit has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Fatima Gill· Nov 15, 2024

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

  • Piyush G· Nov 11, 2024

    memory-leak-audit has been reliable in day-to-day use. Documentation quality is above average for community skills.

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