Growth4U-systems

Claude Token Hygiene — Security skill for Claude Code

Security community

Audit and reduce the hidden token overhead in every Claude Code conversation.

How to install Claude Token Hygiene

This entry records only its repository, not the path inside it, so there is no exact command to give. Open Growth4U-systems/claude-token-hygiene and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Claude Token Hygiene does

Audit and reduce the hidden token overhead in every Claude Code conversation. Monthly skill + automation.

Alternatives in Security

  • Token Scan — Meme coin and token security scan — checks for rug pull vectors (hidden mint, honeypot, fee manipulation, LP l 3.8k ★
  • Query Token Audit — Audit token security to detect scams, honeypots, and malicious contracts across BSC, Base, Solana, and Ethereu 483 ★
  • Reflexion — Audit and optimize the .claude/ ecosystem — skills, hooks, guides, patterns, agents, and settings — for qualit 224 ★

README

Claude Code Token Hygiene

**Your Claude Code conversations are wasting 30-50% of tokens on system context you don't need.**

Every conversation loads CLAUDE.md, MEMORY.md, skill descriptions, MCP tool listings, and hooks — before you type a single word. On a typical power-user setup, that's **15,000-35,000 tokens of overhead per conversation**.

This skill audits that overhead and tells you exactly where to cut.


The Problem

You type: "fix the bug in auth.ts"

What Claude actually processes:
  ├── CLAUDE.md instructions        ~8,000 tokens
  ├── MEMORY.md auto-memory         ~5,000 tokens
  ├── 89 skill descriptions         ~6,000 tokens
  ├── 7 MCP servers (220 tools)     ~3,300 tokens
  ├── Hooks & system reminders      ~2,000 tokens
  ├── Your message                      ~20 tokens
  └── Total                        ~24,320 tokens  ← before Claude even thinks

On Opus at $15/M output tokens, that overhead costs **real money** on every conversation.

The Solution

A monthly audit that measures your system context, flags what's bloated, and recommends specific cuts:

Token Hygiene Report — 2026-03-05

┌──────────────┬───────────────┬────────┬─────────────┐
│ Metric       │ Value         │ Status │ Tokens Est. │
├──────────────┼───────────────┼────────┼─────────────┤
│ CLAUDE.md    │ 123 lines/6KB │   ✅   │ ~1,600      │
│ MEMORY.md    │ 90 lines/5KB  │   ✅   │ ~1,350      │
│ Skills       │ 82            │   🟡   │ ~5,330      │
│ MCP servers  │ 5             │   ✅   │ ~1,125      │
│ Stale logs   │ 0             │   ✅   │ —           │
│ Total        │               │        │ ~9,405      │
└──────────────┴───────────────┴────────┴─────────────┘

↓ Down from ~30,000 tokens (previous audit)

Real Results

I ran this on my own setup and reduced overhead from **~30,000 to ~15,000 tokens per conversation** — a 50% reduction:

What I did Savings Time
Compressed CLAUDE.md (713→123 lines) ~6,7