package-bundle-analyzer

package-bundle-analyzer is a skill for Claude Code, Codex from 2428424081cn/Skill-mcp. It costs 41 tokens per session (141 once invoked), scanned A, original, MIT.

A guide for finding and reducing the size of files produced by a frontend build. It covers replacing large libraries with smaller options and importing only the parts of a library that the application uses.

In plain words
What is it for?
Use it to review frontend bundle size, replace heavy dependencies such as Moment or full Lodash imports, and consider native browser features such as fetch.
Why use it?
Large browser files can make websites take longer to load. This guide helps identify common sources of unnecessary size and suggests lighter approaches.

Skill for Claude CodeCodex

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

Good fit Use it to review frontend bundle size, replace heavy dependencies such as Moment or full Lodash imports, and consider native browser features such as fetch.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/2428424081cn/skill-mcp/package-bundle-analyzer
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 2428424081cn/Skill-mcp --skill package-bundle-analyzer
Clone the repo
git clone --depth 1 https://github.com/2428424081cn/Skill-mcp

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 package-bundle-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/2428424081cn/skill-mcp/package-bundle-analyzer/github.svg)](https://agentmods.dev/skills/2428424081cn/skill-mcp/package-bundle-analyzer)
Your own site
<a href="https://agentmods.dev/skills/2428424081cn/skill-mcp/package-bundle-analyzer"><img src="https://agentmods.dev/badge/skills/2428424081cn/skill-mcp/package-bundle-analyzer/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 package-bundle-analyzer

Your own site · 80×15
<a href="https://agentmods.dev/skills/2428424081cn/skill-mcp/package-bundle-analyzer"><img src="https://agentmods.dev/badge/skills/2428424081cn/skill-mcp/package-bundle-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 141 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 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 $0.00041 $0.00141
Opus 5.5 $0.00016 $0.00056
Sonnet 5.5 $0.00008 $0.00028
Haiku 4.5 $0.00004 $0.00014

Measured 1mo ago against content hash f1a157f2676b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

package-bundle-analyzer 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 1mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/audit_heavy_packages.mjs), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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/dev/package-bundle-analyzer/SKILL.md · 12 lines

What it actually says

前端打包体积分析与瘦身指南

常见重型依赖替代清单

  • moment.js (~300KB) -> dayjs (2KB) 或 date-fns
  • lodash (全量导入) -> lodash-es 按需导入或原生 JS 方法
  • axios -> 原生 fetch
Files

What ships with it

2 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.

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. 1mo ago First seen · 12 lines · 41 tokens per session scan A f1a157f2676b

Subscribe to this mod's changes

package-bundle-analyzer is a skill published in the GitHub repository 2428424081cn/Skill-mcp (1 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 141 once invoked, about $0.0002 per session on Opus 5.5. 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.

Related

Other skills, from other repositories

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chronicle

Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…

microsoft/vscode · 72 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

component-fixtures

Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.

microsoft/vscode · 53 tokens