sakura-fantasy: A boat journey through a Japanese river valley, in four seasons and at any hour, rendered live in the browser

by billpwchan · AI Skill · ★ 107

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

How to install sakura-fantasy

git clone https://github.com/billpwchan/sakura-fantasy.git

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

Security audit verdict: SAFE · quality 59/100

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.

3dai-generatedbrowser-gameclaudeclaude-codecreative-codinggenerative-musicjapanjavascriptphotogrammetry

Quick Facts

Stars107
Forks9
LanguageJavaScript
CategoryAI Skill
Quality Score59/100
Open Issues2
Last Updated2026-10-21
Created2026-10-04
Platformsbrowser, claude-code, node
Est. Tokens~16k

About sakura-fantasy

桜幻想  Sakura Fantasy A boat journey through a Japanese river valley, in four seasons and at any hour,rendered live in the browser. Take the journey  ·  How it works  ·  The score  ·  中文  ·  日本語 You sit in a tomabune, a reed-roofed river boat, while a boatman sculls you down a river.

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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:

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