infinite-pokemon: A Pokémon-style adventure built with Codex, featuring AI-generated maps, NPCs, branching saves

by Shellishack · Codex Skill · ★ 114

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

How to install infinite-pokemon

npx skills add Shellishack/infinite-pokemon --skill infinite-pokemon
npx skills add Shellishack/infinite-pokemon --skill infinite-pokemon-region --skill infinite-pokemon-npc --skill infinite-pokemon-interior

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 66/100

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.

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.

agent-skillsbrowser-gamecreature-collectorelectrongenerative-aigenerative-gameplayindie-gamemultiplayer-gamenextjsphaser

Quick Facts

Stars114
Forks24
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score66/100
Last Updated2026-09-20
Created2026-09-14
Platformsbrowser, codex, node
Est. Tokens~21k

About infinite-pokemon

Infinite Pokémon English | 简体中文 · Website & browser demo · Discord · GitHub repository · Technical report v0.4 (PDF, provisional) Quick start with your AI assistant Then ask Codex (or your compatible AI assistant): “Use $infinite-pokemon to set up and start the game for me.” The entry skill guides the agent to clone missing game files, check prerequisites, install dependencies, build, and launch.

Compatible Skills

These tools work well together with infinite-pokemon for enhanced workflows:

  • codeinspectus — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (58%)

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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 Codex Skill tools