head to head · open source
CL4R1T4S vs cangjie-skill
CL4R1T4S has 51,737 GitHub stars, 10,551 forks, 127 open issues and last shipped 1 months ago. cangjie-skill has 12,051 stars, 1,417 forks, 23 open issues and last shipped 1 months ago. CL4R1T4S leads on adoption by 329% (51,737 vs 12,051 stars). CL4R1T4S is written in various languages under AGPL-3.0; cangjie-skill is written in Python under MIT. CL4R1T4S has attracted 20% as many forks as stars, cangjie-skill 12%. cangjie-skill was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (prompt-engineering), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| CL4R1T4S | cangjie-skill | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 12K |
| License | AGPL-3.0 | MIT |
| Written in | — | Python |
| Last push | 2026-09-22 | 2026-10-02 |
| Forks | ⑂ 11K | ⑂ 1.4K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick CL4R1T4S if
- You weight community size — 52K stars and counting
- You want the AGPL-3.0 license terms
- You value the larger contributor base for long-term maintenance
pick cangjie-skill if
- You want the cangjie-skill feature set and don't need the biggest community
- You prefer the MIT license terms
- Your stack matches Python
- You evaluated both and cangjie-skill fits your workflow better
About CL4R1T4S
CL4R1T4S AI SYSTEMS TRANSPARENCY AND OBSERVABILITY FOR ALL! Full extracted system prompts, guidelines, and tools from OpenAI, Google, Anthropic, xAI, Perplexity, Cursor, Windsurf, Devin, Manus, Replit, and more – virtually all major AI models + agents! 📌 Why This Exists "In order to trust the output, one must understand the input." AI labs shape how models behave using massive, unseen prompt scaffolds. Because AI is a trusted external intelligence layer for a growing number of humans, these hidden instructions can affect the perceptions and behavior of the public. These prompts define: What AIs can’t say What…
read the full CL4R1T4S overview →
About cangjie-skill
简体中文 · English · 日本語 Cangjie Skill Distill methodologies from books, long form videos, and podcasts into callable AI Skills Finish reading, watching, or listening—and leave with a methodology you can invoke. Official Website 🌐 Visit the Cangjie Skill official website The website provides visual Skill Pack browsing, a beginner friendly usage guide, Skill detail pages, and a contribution submission entry. This GitHub repository remains the sole source for cangjie skill code, methodology, and templates; the website provides presentation, navigation, and usage guidance. What's New in v2.5.0 Capability Bundle as the…
read the full cangjie-skill overview →
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Frequently asked questions
Is CL4R1T4S or cangjie-skill more popular?
CL4R1T4S has 51,737 GitHub stars and cangjie-skill has 12,051. CL4R1T4S has the larger community by that measure.
Are CL4R1T4S and cangjie-skill free?
Both are open source. CL4R1T4S is licensed under AGPL-3.0 and cangjie-skill under MIT. Neither carries a licence fee.
What is the difference between CL4R1T4S and cangjie-skill?
CL4R1T4S is written in various languages and cangjie-skill in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, CL4R1T4S or cangjie-skill?
Choose CL4R1T4S if you want the larger community (51,737 stars) or its AGPL-3.0 licence terms. Choose cangjie-skill if its feature set, stack or MIT licence fits better. Both are self-hostable.