TokenTamer — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

Flagged: sudo usage. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by borhen68 · LLM Plugin · ★ 127

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

🔒 Is TokenTamer safe to install? View the security audit →

About TokenTamer

🚀 TokenTamer A drop-in proxy that compresses bloated code context in real-time, cutting LLM API costs by 50–80% on plain-chat coding agents. TokenTamer is a middleware proxy that sits between an AI coding agent and the LLM API. It intercepts raw payloads, parses code with AST, and replaces "background" files with structural skeletons. The agent still sees signatures, classes, and imports — it just stops paying for function bodies it isn't editing. ⚠️ Alpha software. This is a real project in active development, not a polished SaaS. Please read the support matrix below before installing. 🧪 Support Status Stale file reads in get skeletonized; latest read stays intact.

ai-coding-agentanthropiccontext-compressioncost-reductiondeveloper-toolsllmopenaiproxypythontoken-optimization

Quick Facts

Stars127
Forks21
LanguagePython
CategoryLLM Plugin
LicenseMIT
Quality Score69.5026354142845/100
Open Issues1
Last Updated2026-06-15
Created2026-06-08
Platformspython
Est. Tokens~14k

Compatible Skills

These tools work well together with TokenTamer for enhanced workflows:

  • claw-compactor — semantic(0.45)+complementary+rare_topics+same_lang+shared_platform (60%)
  • cc-harness-skills — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (57%)

TokenTamer alternative? Top 6 similar tools

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

  • llmtrim by fkiene · ⭐ 239

    Local proxy that compresses your LLM API requests so you pay less, with no change to the answers. Trims wasted

  • thedistillery by The-Distillery-dev · ⭐ 114

    The Distillery. A Token Optimization Proxy

  • omni by fajarhide · ⭐ 373

    Your agent pays twice for output it has already seen. OMNI returns a handle instead: 97.2% off a file read twi

  • prompt-caching by flightlesstux · ⭐ 131

    Automatic prompt caching for Claude Code. Cuts token costs by up to 90% on repeated file reads, bug fix sessio

  • anthropic-max-router by nsxdavid · ⭐ 63

    Dual API router (Anthropic + OpenAI compatible) for Claude MAX Plan - Use flat-rate billing with ANY AI too

  • LAP by Lap-Platform · ⭐ 344

    Your agents are guessing at APIs. Give them the actual Agent-Native spec. 1500+ API's Ready To-Use skills, Co

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Frequently Asked Questions

What is TokenTamer?

TokenTamer is A drop-in proxy that compresses bloated code context in real-time, cutting LLM API costs by 50–80% without losing what the model actually needs to know.. It is categorized as a LLM Plugin with 127 GitHub stars.

What programming language is TokenTamer written in?

TokenTamer is primarily written in Python. It covers topics such as ai-coding-agent, anthropic, context-compression.

How do I install or use TokenTamer?

You can find installation instructions and usage details in the TokenTamer GitHub repository at github.com/borhen68/TokenTamer. The project has 127 stars and 21 forks, indicating an active community.

What license does TokenTamer use?

TokenTamer is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to TokenTamer?

The top alternatives to TokenTamer on Agent Skills Hub include llmtrim, thedistillery, omni. 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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