claw-compactor — security grade SAFE, quality 72/100

Security audit verdict: SAFE · quality 72/100

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 aeromomo · Agent Tool · ★ 1.4k

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

🔒 Is claw-compactor safe to install? View the security audit →

About claw-compactor

{ "@context": "https://schema.org", "@type": "SoftwareApplication", "name": "Claw Compactor", "description": "Open-source LLM token compression tool that reduces AI agent costs by up to 97% using 5-layer deterministic context compression", "applicationCategory": "DeveloperApplication", "operatingSystem": "Cross-platform", "softwareVersion": "1.0.0", "license": "https://opensource.org/licenses/MIT", "url": "https://github.com/aeromomo/claw-compactor", "downloadUrl": "https://github.com/aeromomo/claw-compactor", "author": { "@type": "Organization", "name": "OpenClaw", "url": "https://openclaw.ai" }, "offers": { "@type": "Offer", "price": "0", "priceCurrency": "USD" }, "keywords": "token compression, LLM, AI agent, prompt compression, context window optimization, cost reduction" } -- Claw Compactor — LLM Token Compression & Context Reduction Tool [![Release](https://img

ai-agent-toolsai-cost-savingai-infrastructureclaw-compactorcontext-compressioncontext-pruningcontext-window-optimizationdeveloper-toolsllm-compressionllm-context-compression

Quick Facts

Stars1,412
Forks124
LanguagePython
CategoryAgent Tool
LicenseMIT
Quality Score71.7492113132256/100
Open Issues2
Last Updated2026-03-10
Created2026-02-10
Platformspython
Est. Tokens~96k

claw-compactor alternative? Top 6 similar tools

Looking for a claw-compactor alternative? If you're comparing claw-compactor 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.

  • claw-compactor by open-compress · ⭐ 2.0k

    14-stage Fusion Pipeline for LLM token compression — reversible compression, AST-aware code analysis, intellig

  • headroom-desktop by gglucass · ⭐ 588

    Menu Bar App on MacOS and Windows that cuts Claude Code and Codex token costs by ~50%

  • entroly by juyterman1000 · ⭐ 471

    Cut AI context cost without trusting the compressor. Every reduction is reversible, byte-exact recoverable, an

  • snip by edouard-claude · ⭐ 457

    CLI proxy that reduces LLM token usage by 60-90%. Declarative YAML filters for Claude Code, Cursor, Copilot, G

  • 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

  • DashClaw by ucsandman · ⭐ 308

    Remote approvals, policy checks, and execution evidence for unattended AI agents.

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Frequently Asked Questions

What is claw-compactor?

claw-compactor is 🦞 LLM Token Compression & Reduction Tool — Cut AI agent token costs by up to 97%. 6-layer deterministic context compression for AI agent workspaces. No LLM required. Prompt compression, context windo. It is categorized as a Agent Tool with 1.4k GitHub stars.

What programming language is claw-compactor written in?

claw-compactor is primarily written in Python. It covers topics such as ai-agent-tools, ai-cost-saving, ai-infrastructure.

How do I install or use claw-compactor?

You can find installation instructions and usage details in the claw-compactor GitHub repository at github.com/aeromomo/claw-compactor. The project has 1.4k stars and 124 forks, indicating an active community.

What license does claw-compactor use?

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

What are the best alternatives to claw-compactor?

The top alternatives to claw-compactor on Agent Skills Hub include claw-compactor, headroom-desktop, entroly. 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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