claude-token-optimizer — security grade SAFE, quality 73/100

Security audit verdict: SAFE · quality 73/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by nadimtuhin · Agent Tool · ★ 553

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is claude-token-optimizer safe to install? View the security audit →

About claude-token-optimizer

🚀 Claude Token Optimizer Stop wasting Claude Code's context on old docs Cut token usage by 90% so Claude can focus on your actual code The Problem Claude Code loads everything at session start. My RedwoodJS project was burning 11,000 tokens before I even started coding - that's 1,783 lines of documentation, old session notes, and completed task history eating into my context window. The Solution Structure your docs so Claude only loads what it needs: 4 essential files at startup (800 tokens) Everything else available but never auto-loaded (0 tokens) Topic-based learnings you load as needed (500 tokens each) Real result: 11,000 → 1,300 tokens. That's 9,700 tokens freed up for your code. Quick Setup Option 1: npm (recommended) No install needed. Asks 3 questions, creates the optimized structure in 30 seconds. Measure first — see your actual token waste before committing: Option 2: curl (shell

ai-assistantautomationclaude-codedeveloper-toolsdocumentationopensourcesetup-templatetoken-optimization

Quick Facts

Stars553
Forks68
LanguageJavaScript
CategoryAgent Tool
LicenseMIT
Quality Score73.2086563412559/100
Open Issues8
Last Updated2026-08-17
Created2025-11-10
Platformsclaude-code, node
Est. Tokens~14k

Compatible Skills

These tools work well together with claude-token-optimizer for enhanced workflows:

  • alphaclaw — semantic(0.20)+complementary+same_lang+similar_pop+shared_platform (57%)
  • claude-code-skills — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (56%)
  • claudekit — semantic(0.15)+complementary+same_lang+similar_pop+shared_platform (55%)
  • everything-claude-code-zh — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)
  • jcodemunch-mcp — semantic(0.27)+complementary+similar_pop+shared_platform (49%)

claude-token-optimizer alternative? Top 6 similar tools

Looking for a claude-token-optimizer alternative? If you're comparing claude-token-optimizer with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • apple-docs-mcp by kimsungwhee · ⭐ 1.4k

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Frequently Asked Questions

What is claude-token-optimizer?

claude-token-optimizer is Optimize token usage for Claude API calls. It is categorized as a Agent Tool with 553 GitHub stars.

What programming language is claude-token-optimizer written in?

claude-token-optimizer is primarily written in JavaScript. It covers topics such as ai-assistant, automation, claude-code.

How do I install or use claude-token-optimizer?

You can find installation instructions and usage details in the claude-token-optimizer GitHub repository at github.com/nadimtuhin/claude-token-optimizer. The project has 553 stars and 68 forks, indicating an active community.

What license does claude-token-optimizer use?

claude-token-optimizer is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to claude-token-optimizer?

The top alternatives to claude-token-optimizer on Agent Skills Hub include claude-forge, daymon, lazy-bird. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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