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.
npx skills add aj-geddes/useful-ai-prompts --skill memory-leak-detectiongit clone --depth 1 https://github.com/aj-geddes/useful-ai-promptsWrote 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.
[](https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/memory-leak-detection)<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/memory-leak-detection"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/memory-leak-detection/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.
<a href="https://agentmods.dev/skills/aj-geddes/useful-ai-prompts/memory-leak-detection"><img src="https://agentmods.dev/badge/skills/aj-geddes/useful-ai-prompts/memory-leak-detection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00038 | $0.00635 |
| Opus 5 | $0.00019 | $0.00318 |
| Sonnet 5 | $0.00008 | $0.00127 |
| Haiku 4.5 | $0.00004 | $0.00064 |
Grade A, and why
memory-leak-detection 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 9d 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.
How it starts
The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Memory Leak Detection
Table of Contents
Overview
Identify and fix memory leaks to prevent out-of-memory crashes and optimize application performance.
When to Use
- Memory usage growing over time
- Out of memory (OOM) errors
- Performance degradation
- Container restarts
- High memory consumption
Quick Start
Minimal working example:
import v8 from "v8";
import fs from "fs";
class MemoryProfiler {
takeSnapshot(filename: string): void {
const snapshot = v8.writeHeapSnapshot(filename);
console.log(`Heap snapshot saved to ${snapshot}`);
}
getMemoryUsage(): NodeJS.MemoryUsage {
return process.memoryUsage();
}
formatMemory(bytes: number): string {
return `${(bytes / 1024 / 1024).toFixed(2)} MB`;
}
printMemoryUsage(): void {
const usage = this.getMemoryUsage();
console.log("Memory Usage:");
console.log(` RSS: ${this.formatMemory(usage.rss)}`);
console.log(` Heap Total: ${this.formatMemory(usage.heapTotal)}`);
console.log(` Heap Used: ${this.formatMemory(usage.heapUsed)}`);
console.log(` External: ${this.formatMemory(usage.external)}`);
// ... (see reference guides for full implementation)
Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Node.js Heap Snapshots | Node.js Heap Snapshots |
| Memory Leak Detection Middleware | Memory Leak Detection Middleware |
| Common Memory Leak Patterns | Common Memory Leak Patterns |
| Python Memory Profiling | Python Memory Profiling |
| WeakMap/WeakRef for Cache | WeakMap/WeakRef for Cache |
| Memory Monitoring in Production | Memory Monitoring in Production |
What ships with it
8 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.
- references/common-memory-leak-patterns.md 1.5 KB
- references/memory-leak-detection-middleware.md 1.0 KB
- references/memory-monitoring-in-production.md 1.3 KB
- references/nodejs-heap-snapshots.md 1.2 KB
- references/python-memory-profiling.md 1.6 KB
- references/weakmapweakref-for-cache.md 633 B
- scripts/validate-config.sh 427 B runs code
- templates/config-starter.yaml 453 B
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.
- 9d ago First seen · 96 lines · 38 tokens per session scan A 6f665df6f85b
memory-leak-detection is a skill published in the GitHub repository aj-geddes/useful-ai-prompts (338 stars, last pushed 6mo ago), licensed MIT. It adds 38 tokens to every session and 635 once invoked, about $0.0002 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 2026-09-03.
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