linkedin-mcp-server-ts: Skill for Claude Code

.agents/skills/memory-leak-debugging/SKILL.md

memory-leak-debugging is a skill for Claude Code, Codex from joaovjo/linkedin-mcp-server-ts. It costs 52 tokens per session (933 once invoked), scanned B, a copy of memory-leak-debugging, MIT.

A guide for finding and fixing memory leaks in JavaScript and Node.js applications. A memory leak is data that remains in memory after it is no longer needed, causing usage to grow or the process to run out of memory.

In plain words
What is it for?
Use it to investigate high memory use, out-of-memory errors, detached page elements, lingering event listeners, retained closures, global values, or unbounded caches.
Why use it?
It provides a way to compare memory snapshots and distinguish browser-side leaks from server-side leaks instead of reading large snapshot files manually.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is joaovjo/linkedin-mcp-server-ts's own configuration. It tells Claude Code and Codex how to work on linkedin-mcp-server-ts itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything linkedin-mcp-server-ts configures →

Reuse

Borrowing it

Nothing to install: this file belongs to joaovjo/linkedin-mcp-server-ts. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/joaovjo/linkedin-mcp-server-ts/main/.agents/skills/memory-leak-debugging/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/joaovjo/linkedin-mcp-server-ts

Made for: Claude Code, Codex.

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 memory-leak-debugging

README.md
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Your own site
<a href="https://agentmods.dev/skills/joaovjo/linkedin-mcp-server-ts/memory-leak-debugging"><img src="https://agentmods.dev/badge/skills/joaovjo/linkedin-mcp-server-ts/memory-leak-debugging/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for memory-leak-debugging

Your own site · 80×15
<a href="https://agentmods.dev/skills/joaovjo/linkedin-mcp-server-ts/memory-leak-debugging"><img src="https://agentmods.dev/badge/skills/joaovjo/linkedin-mcp-server-ts/memory-leak-debugging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 933 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 $0.00052 $0.00933
Opus 5.5 $0.00021 $0.00373
Sonnet 5.5 $0.00010 $0.00187
Haiku 4.5 $0.00005 $0.00093

Measured today against content hash 895127ac55a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

memory-leak-debugging scanned grade B with 1 finding 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 today.

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.

Reads MCP configurationmediumAgent snooping

mcp.json carries server URLs and auth tokens; reading it lets a mod discover and abuse other integrations.

Advanced memory debugging tools (`compare_heapsnapshots`, `get_heapsnapshot_details`, etc.) are only available when the server is started with the `--memoryDebugging` flag. First check if these tools are available; if no
Origin

This is a copy

100% identical to memory-leak-debugging — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.agents/skills/memory-leak-debugging/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 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 using Chrome DevTools MCP tools.

Prerequisites

Advanced memory debugging tools (compare_heapsnapshots, get_heapsnapshot_details, etc.) are only available when the server is started with the --memoryDebugging flag. First check if these tools are available; if not, try to read the MCP configuration file to check if --memoryDebugging is enabled.

Core Principles

  • Prefer MCP memory tools: Do NOT attempt to read raw .heapsnapshot files directly, as they are extremely large and will consume too many tokens. Use the Chrome DevTools MCP heap snapshot tools to summarize, compare, and inspect snapshots.
  • 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.
  • Close Loaded Snapshots: Heap snapshots can be large. After completing an investigation, use close_heapsnapshot for each loaded snapshot to release memory held by the MCP server.

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 page-scoped tools like click, navigate_page, fill, etc. (specifying pageId) 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_heapsnapshot (with pageId) to save .heapsnapshot files to disk at baseline, target (after actions), and final (after reverting actions) states.

2. Comparing Snapshots

Read the full file on GitHub · 59 lines

Files

What ships with it

1 file 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. today First seen · 59 lines · 52 tokens per session scan B 895127ac55a3

Subscribe to this mod's changes

memory-leak-debugging is a skill published in the GitHub repository joaovjo/linkedin-mcp-server-ts (5 stars, last pushed yesterday), licensed MIT. It adds 52 tokens to every session and 933 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it B with 1 finding (reads mcp configuration). It is 100% identical to memory-leak-debugging, differing in 0 lines, and is treated as a copy.

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