dart-memory

dart-memory is a skill for Claude Code, Codex from dhruvanbhalara/skills. It costs 22 tokens per session (416 once invoked), scanned A, original, MIT.

A guide to managing memory in Dart programs, especially mobile apps. It covers finding memory leaks, reducing garbage-collection work, and closing resources such as streams and listeners.

In plain words
What is it for?
Use it when diagnosing Dart memory leaks, reducing objects created during screen updates, moving heavy work off the user-interface thread, or loading images with less memory.
Why use it?
It helps prevent crashes, slow screens, and freezes caused by using too much memory or leaving resources open.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when diagnosing Dart memory leaks, reducing objects created during screen updates, moving heavy work off the user-interface thread, or loading images with less memory.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dhruvanbhalara/skills/dart-memory
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.

Any agent
npx skills add dhruvanbhalara/skills --skill dart-memory
Clone the repo
git clone --depth 1 https://github.com/dhruvanbhalara/skills

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 dart-memory

README.md
[![agentmods](https://agentmods.dev/badge/skills/dhruvanbhalara/skills/dart-memory/github.svg)](https://agentmods.dev/skills/dhruvanbhalara/skills/dart-memory)
Your own site
<a href="https://agentmods.dev/skills/dhruvanbhalara/skills/dart-memory"><img src="https://agentmods.dev/badge/skills/dhruvanbhalara/skills/dart-memory/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 dart-memory

Your own site · 80×15
<a href="https://agentmods.dev/skills/dhruvanbhalara/skills/dart-memory"><img src="https://agentmods.dev/badge/skills/dhruvanbhalara/skills/dart-memory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 22 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 416 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00022 $0.00416
Opus 5 $0.00011 $0.00208
Sonnet 5 $0.00004 $0.00083
Haiku 4.5 $0.00002 $0.00042

Measured 9d ago against content hash 2a31c1536a07, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

dart-memory 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.

skills/dart/dart-memory/SKILL.md · 31 lines

What it actually says

Memory Management

Mobile devices have limited RAM. Efficient memory management is critical to prevent crashes and ensure a smooth user experience.

Resource Lifecycle

  • Explicit Disposal: Always close StreamController, Timer, FocusNode, and ChangeNotifier in the dispose() method.
  • Late Initialization: Use late to delay object creation until it's actually needed, reducing initial memory footprint.

Garbage Collection (GC) Pressure

  • Generational GC: Dart's GC is optimized for short-lived objects. However, creating thousands of objects in a single frame can still cause jank.
  • Object Re-use: Avoid creating new objects in build() or high-frequency loops. Reuse data structures where possible.
  • Large Collections: Clearing a large list (list.clear()) is better than re-assigning it to a new list if the list itself is long-lived.

Mobile Specifics

  • Isolates: Use Isolate.run() for heavy computations (JSON parsing > 1MB, image processing). This keeps the main thread free and prevents UI freezes.
  • Image Memory: Use cacheWidth and cacheHeight in Image.network or Image.asset to avoid loading high-resolution images into memory at full size.
  • Memory Leaks: Use the DevTools Memory View to identify "leaking" objects that stay in the heap after their context (like a screen) is closed.

Large Data Handling

  • Pagination: Never load entire datasets into memory. Use server-side or local database pagination (Isar, SQLite).
  • Streaming: For large files or real-time data, use Stream to process data in chunks rather than buffering the entire content in memory.
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. 9d ago First seen · 31 lines · 22 tokens per session scan A 2a31c1536a07

Subscribe to this mod's changes

dart-memory is a skill published in the GitHub repository dhruvanbhalara/skills (29 stars, last pushed 9d ago), licensed MIT. It adds 22 tokens to every session and 416 once invoked, about $0.0001 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 2026-08-30.

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