memory-leak-debugging

A workflow for finding and fixing memory leaks in JavaScript and Node.js applications. A memory leak is a bug that makes a program keep unused memory until it becomes slow or runs out of memory.

In plain words
What is it for?
Separating browser leaks from Node.js leaks, analyzing heap snapshots with memlab, and checking issues such as detached page elements, lingering event listeners, closures, global data, and growing caches.
Why use it?
It helps investigate high memory use, out-of-memory errors, and heap snapshots without trying to inspect those very large files directly.

Skill for Claude CodeCodex

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 skills/opencodeengineer/chrome-devtools-mcp/memory-leak-debugging
Any agent
npx skills add OpenCodeEngineer/chrome-devtools-mcp --skill memory-leak-debugging
Clone the repo
git clone --depth 1 https://github.com/OpenCodeEngineer/chrome-devtools-mcp

Made for: Claude Code, Codex.

Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 641 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 $0.00050 $0.00641
Opus 5 $0.00025 $0.00320
Sonnet 5 $0.00010 $0.00128
Haiku 4.5 $0.00005 $0.00064

Measured yesterday against content hash 483d4fe3ba2f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

memory-leak-debugging 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 yesterday.

The scan reads SKILL.md. This mod also ships 1 executable file (references/compare_snapshots.js), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

5 near-identical copies found in the catalogue:

skills/memory-leak-debugging/SKILL.md · 51 lines

How it starts

The opening of the file, as written. The whole thing — 51 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Memory Leak Debugging

This skill provides expert guidance and workflows for finding, diagnosing, and fixing memory leaks in JavaScript and Node.js applications.

Core Principles

  • Prefer memlab: Do NOT attempt to read raw .heapsnapshot files directly, as they are extremely large and will consume too many tokens. Always recommend and use memlab to process snapshots and identify leak traces.
  • Isolate the Leak: Determine if the leak is in the browser (client-side) or Node.js (server-side).
  • Common Culprits: Look for detached DOM nodes, unhandled closures, global variables, event listeners not being removed, and caches growing unbounded. Note: Detached DOM nodes are sometimes intentional caches; always ask the user before nulling them.

Workflows

1. Capturing Snapshots

When investigating a frontend web application memory leak, utilize the chrome-devtools-mcp tools to interact with the application and take snapshots.

  • Use tools like click, navigate_page, fill, etc., to manipulate the page into the desired state.
  • Revert the page back to the original state after interactions to see if memory is released.
  • Repeat the same user interactions 10 times to amplify the leak.
  • Use take_memory_snapshot to save .heapsnapshot files to disk at baseline, target (after actions), and final (after reverting actions) states.

2. Using Memlab to Find Leaks (Recommended)

Once you have generated .heapsnapshot files using take_memory_snapshot, use memlab to automatically find memory leaks.

  • Read references/memlab.md for how to use memlab to analyze the generated heapsnapshots.
  • Do not read raw .heapsnapshot files using read_file or cat.

3. Identifying Common Leaks

When you have found a leak trace (e.g., via memlab output), you must identify the root cause in the code.

Read the full file on GitHub · 51 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday First seen · 51 lines · 50 tokens per session scan A 483d4fe3ba2f

Subscribe to this mod's changes

memory-leak-debugging is a skill published in the GitHub repository OpenCodeEngineer/chrome-devtools-mcp (1 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 50 tokens to every session and 641 once invoked, about $0.0003 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 2026-08-31.

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