travel-hacking-toolkit — security grade SAFE, quality 70/100

Security audit verdict: SAFE · quality 70/100

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 borski · MCP Server · ★ 653

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

🔒 Is travel-hacking-toolkit safe to install? View the security audit →

About travel-hacking-toolkit

Travel Hacking Toolkit AI-powered travel hacking with points, miles, and award flights. Drop-in skills and MCP servers for OpenCode and Claude Code. Ask your AI to find you a 60,000-mile business class flight to Tokyo. It'll search award availability across 25+ programs, compare against cash prices, check your loyalty balances, and tell you the best play. Quick Start The setup script walks you through everything: picks your tool (OpenCode, Claude Code, or both), creates your API key config files, installs dependencies, and optionally installs skills system-wide. The 5 free MCP servers (Skiplagged, Kiwi, Trivago, Ferryhopper, Airbnb) work immediately with zero API keys. For the full experience, add at minimum: Then launch your tool: The flag tells Claude Code to load MCP servers from the config file directly. This is more reliable than auto-discovery (known issue). ##

award-flightsclaude-codeflightshotelsmcpopencodepoints-and-milesskillstraveltravel-hacking

Quick Facts

Stars653
Forks68
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score70.4589610274597/100
Open Issues5
Last Updated2026-09-07
Created2026-03-21
Platformsclaude-code, codex, mcp, python
Est. Tokens~15k

Compatible Skills

These tools work well together with travel-hacking-toolkit for enhanced workflows:

  • obsidianos_work — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

travel-hacking-toolkit alternative? Top 6 similar tools

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

  • LetsFG by LetsFG · ⭐ 2.0k

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  • ios-simulator-skill by conorluddy · ⭐ 1.2k

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  • agentsys by agent-sh · ⭐ 982

    AI writes code. This automates everything else · 24 plugins · 49 agents · 44 skills · for Claude Code, OpenCod

  • memorix by AVIDS2 · ⭐ 761

    Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Wi

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Frequently Asked Questions

What is travel-hacking-toolkit?

travel-hacking-toolkit is AI-powered travel hacking and search with cash, points, miles, and award flights. Drop-in skills and MCP servers for Claude, Codex, and OpenCode.. It is categorized as a MCP Server with 653 GitHub stars.

What programming language is travel-hacking-toolkit written in?

travel-hacking-toolkit is primarily written in Python. It covers topics such as award-flights, claude-code, flights.

How do I install or use travel-hacking-toolkit?

You can find installation instructions and usage details in the travel-hacking-toolkit GitHub repository at github.com/borski/travel-hacking-toolkit. The project has 653 stars and 68 forks, indicating an active community.

What license does travel-hacking-toolkit use?

travel-hacking-toolkit is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to travel-hacking-toolkit?

The top alternatives to travel-hacking-toolkit on Agent Skills Hub include LetsFG, claude-code-plugins-plus-skills, awesome-llm-skills. 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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