deepseek-whalechan — not yet audited

by Neko3000 · Codex Skill · ★ 96

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

About deepseek-whalechan

Keep Whale-chan consistently vivid in every generation: High-consistency character design specification, visual asset library, and agent creation suite.

claude-codecodexcomicsgeminigraphicsskills

Quick Facts

Stars96
Forks7
LanguagePython
CategoryCodex Skill
Quality Score52.2156973113354/100
Open Issues1
Last Updated2026-09-12
Created2026-08-22
Platformsclaude-code, codex, gemini, python
Est. Tokens~13k

Compatible Skills

These tools work well together with deepseek-whalechan for enhanced workflows:

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

deepseek-whalechan alternative? Top 6 similar tools

Looking for a deepseek-whalechan alternative? If you're comparing deepseek-whalechan with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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Frequently Asked Questions

What is deepseek-whalechan?

deepseek-whalechan is Keep Whale-chan consistently vivid in every generation: High-consistency character design specification, visual asset library, and agent creation suite.. It is categorized as a Codex Skill with 96 GitHub stars.

What programming language is deepseek-whalechan written in?

deepseek-whalechan is primarily written in Python. It covers topics such as claude-code, codex, comics.

How do I install or use deepseek-whalechan?

You can find installation instructions and usage details in the deepseek-whalechan GitHub repository at github.com/Neko3000/deepseek-whalechan. The project has 96 stars and 7 forks, indicating an active community.

What are the best alternatives to deepseek-whalechan?

The top alternatives to deepseek-whalechan on Agent Skills Hub include kindly-web-search-mcp-server, my-ai-tools, ai-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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