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 zhang77-X/chrpme_MCP --skill memory-leak-debugginggit clone --depth 1 https://github.com/zhang77-X/chrpme_MCPWrote 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/zhang77-x/chrpme_mcp/memory-leak-debugging)<a href="https://agentmods.dev/skills/zhang77-x/chrpme_mcp/memory-leak-debugging"><img src="https://agentmods.dev/badge/skills/zhang77-x/chrpme_mcp/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.
<a href="https://agentmods.dev/skills/zhang77-x/chrpme_mcp/memory-leak-debugging"><img src="https://agentmods.dev/badge/skills/zhang77-x/chrpme_mcp/memory-leak-debugging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00050 | $0.00641 |
| Opus 5 | $0.00025 | $0.00320 |
| Sonnet 5 | $0.00010 | $0.00128 |
| Haiku 4.5 | $0.00005 | $0.00064 |
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 8d 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.
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.
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.heapsnapshotfiles directly, as they are extremely large and will consume too many tokens. Always recommend and usememlabto 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_snapshotto save.heapsnapshotfiles 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
memlabto analyze the generated heapsnapshots. - Do not read raw
.heapsnapshotfiles usingread_fileorcat.
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 references/common-leaks.md for examples of common memory leaks and how to fix them.
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.
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.
- 8d ago First seen · 51 lines · 50 tokens per session scan A 483d4fe3ba2f
memory-leak-debugging is a skill published in the GitHub repository zhang77-X/chrpme_MCP (0 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. It is 100% identical to memory-leak-debugging, differing in 0 lines, and is treated as a copy.
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