travel-master-v4-clawhub

旅游大师V4 - 数学收敛守卫 + 真实API + 并行商家链接 + 拟人化响应式HTML攻略生成系统

What doesn't add up: (1) SKILL.md and clawhub.json say GAODE_API_KEY / FLYAI_API_KEY are required but registry metadata lists no env vars; the code reads AMAP_API_KEY instead — check exact env variable names before supplying secrets. (2) Docs show running main_v4_2.py from project root, but the file is under core/ (core/main_v4_2.py) and imports use inconsistent relative paths (e.g., '..mcp.amap_client' vs core/amap_client.py) — the package may not run as-documented. (3) Documentation includes external-network commands (npx flyai-cli, curl to amap) while many code files claim 'no external HTTP' and provide mock data — clarify whether the skill will call external services in your environment. (4) Dependencies listed (Flask, aiohttp, @fly-ai/flyai-cli) conflict with claims of 'no_asyncio/no_flask' and presence of async functions in report_generator.py — this inconsistency can produce runtime surprises. Before installing or running: do not paste real API keys into .env; run the code in a sandbox or VM; verify which env names the running code actually reads; inspect and fix import paths and startup commands; ask the author for a coherent release (matching SKILL.md, clawhub.json, and source tree) or use a vetted upstream repo. If you must try it, run static unit tests and start it without network access to confirm behavior, and only provide real API credentials after you confirm where and how they're used.

Type: OpenClaw Skill Name: travel-master-v4-clawhub Version: 1.0.3 The travel-master-v4 skill bundle is a legitimate travel planning assistant designed to collect user requirements (5W2H) and generate a responsive HTML itinerary. The code utilizes a 'Socratic' extraction method via regular expressions and keyword matching (socratic_agent.py) to avoid LLM hallucinations and ensure data convergence. It features a mock API client (amap_client.py) and a local debate engine (debate_engine.py) to generate travel options, which are then rendered into a 'Glassmorphism' style HTML report (report_generator.py) containing links to reputable travel platforms like Ctrip, Meituan, and Amap. No evidence of data exfiltration, malicious execution, or harmful prompt injection was found.