walk-kcal: 你今天还能吃多少卡,取决于你愿意走多远 —— 用步行距离换卡路里额度的吃饭决策。麦当劳官方营养值 × 周边餐厅

by adexbn · MCP Server · ★ 185

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

How to install walk-kcal

git clone https://github.com/adexbn/walk-kcal && cd walk-kcal

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentai-agent-skillcaloriecalorie-counterclaude-skilldiningfast-foodfoodgeohealth

Quick Facts

Stars185
Forks0
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score61/100
Last Updated2026-10-22
Created2026-10-16
Platformsclaude-code, mcp, python
Est. Tokens~14k

About walk-kcal

walk-kcal 你今天还能吃多少卡,取决于你愿意走多远。 麦当劳程序员节创意开发大赛参赛作品 试试看(不用装任何东西) | GitHub 源码 English TL;DR (the README below is in Chinese) Walk-Kcal turns walking distance into a meal calorie budget: . Walking 800 m buys you +44 kcal — about half an apple.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

View on GitHub → Browse MCP Server tools