large-data-iteration

large-data-iteration is a skill for Claude Code from trae-op/electron-modular-boilerplate. It costs 53 tokens per session (238 once invoked), scanned A, original, no licence file.

A skill for improving code that repeatedly loops through large collections of data. It uses techniques such as lookup maps, grouping, chunking, lazy processing, and caching results.

In plain words
What is it for?
Use it to optimise data-processing code with costly repeated searches, nested iteration, or bottlenecks that grow quickly as the dataset gets larger.
Why use it?
It addresses slow execution and high memory use caused by inefficient nested loops over large arrays or collections.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: installed under .agents/ (shared by several agents).

Good fit Use it to optimise data-processing code with costly repeated searches, nested iteration, or bottlenecks that grow quickly as the dataset gets larger.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trae-op/electron-modular-boilerplate/large-data-iteration
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 trae-op/electron-modular-boilerplate --skill large-data-iteration
Clone the repo
git clone --depth 1 https://github.com/trae-op/electron-modular-boilerplate

Made for: Claude Code.

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 large-data-iteration

README.md
[![agentmods](https://agentmods.dev/badge/skills/trae-op/electron-modular-boilerplate/large-data-iteration.svg)](https://agentmods.dev/skills/trae-op/electron-modular-boilerplate/large-data-iteration)
Your own site
<a href="https://agentmods.dev/skills/trae-op/electron-modular-boilerplate/large-data-iteration"><img src="https://agentmods.dev/badge/skills/trae-op/electron-modular-boilerplate/large-data-iteration.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 238 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.
Origin unknown 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 $0.00053 $0.00238
Opus 5 $0.00026 $0.00119
Sonnet 5 $0.00011 $0.00048
Haiku 4.5 $0.00005 $0.00024

Measured 7d ago against content hash 769da5fd017f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

large-data-iteration 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 7d 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.

.agents/skills/large-data-iteration/SKILL.md · 28 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 7d ago First seen · 28 lines · 53 tokens per session scan A 769da5fd017f

Subscribe to this mod's changes

large-data-iteration is a skill published in the GitHub repository trae-op/electron-modular-boilerplate (5 stars, last pushed 6mo ago), with no licence file. It adds 53 tokens to every session and 238 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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