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Tags: AI agents
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Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.

Translated麦麦预算餐 (Maimai Budget Meal): a Skill based on the McDonald's MCP for real price checking, budget comparison, and meal substitution

  • mcdonalds
  • mcp
  • python
  • skill

Self-hosted, invisible CAPTCHA that detects AI agents driving real browsers. GDPR, WCAG 2.2 AA, and EAA: no cookies, no third-party data sharing, and no visual or audio puzzle. With a false-positive budget enforced in CI. Proof of work, drop-in for Turnstile and reCAPTCHA.

  • anti-bot
  • behavioral-analysis
  • bot-detection
  • captcha

Everything you need for building an agent. A Go library for the LLM tool-calling loop with budgets, hooks, skills, and tracing.

TranslatedSee which McDonald's benefits are about to expire, which are worth using, and which are not worth spending money on just because they are expiring. A WorkBuddy Skill built on the official McDonald's MCP: read-only queries of coupons and points, and, based on your budget, up to two meal plans priced through the official interface. McDonald's coupon & points expiry assistant — a WorkBuddy Skill on the official McDonald's MCP. Read-only queries, official price calculation, max 2 budget-friendly plans.

TranslatedA McDonald's ordering solver under the dual constraints of budget x calories | McDonald's MCP Skill

Translated麦门双预算军师 (Maimen Dual-Budget Strategist) · McDonald's China MCP contest entry | Dual-budget (money + calories) McDonald's China MCP Agent Skill with 3-tier meal plans, coupon math and a holographic persona card. One budget for money and one for calories; a meal is only put together when it passes both gates at once: 88,788 combinations are exhaustively searched locally, giving best-value / most substantial / most balanced tiers and the price after coupons.