This repository is a curated, multi-vendor collection of leaked system prompts from major AI chatbots (ChatGPT, Claude, Gemini, Grok, Perplexity, DeepSeek, etc.), captured verbatim from production systems. It serves as a reference corpus for studying AI behavior instructions, safety guardrails, tool definitions, and product positioning across model versions and vendors. The repository also includes Claude Code bundled skills (code review, design-sync, dataviz, deep research) and Claude Design starter components, which are supplementary tooling. While primarily a documentation archive, it contains some well-crafted reusable components such as color palette validation scripts, a design system build/diff pipeline, and a deep research workflow script. The prompts are organized by vendor with version tracking, and the repository is actively maintained with recent updates. However, the tooling scripts lack dependency pinning, and the prompts are time-sensitive snapshots that will drift as products evolve.
This repository is a curated collection of system prompts, tool definitions, and behavioral configurations extracted from dozens of commercial and open-source AI coding assistants and products. It contains over 100 text files organized by vendor (Anthropic, Cursor, VSCode Agent, Manus, Devin, Replit, etc.), each representing a snapshot of how these AI agents are instructed to behave, what tools they can use, and what safety rules they follow. The collection is not an application or a data pipeline; it is a reference archive for researchers, prompt engineers, and developers studying AI agent design patterns, prompt injection risks, and competitive analysis. The repository includes both full system prompts (e.g., Claude Code 2.0, Cursor Agent, Manus) and structured tool JSON schemas that define function-calling APIs. While the content is valuable for understanding AI agent architecture, the repository itself has no executable code, no versioning of individual prompts, and no automated validation, making it a static snapshot rather than a living project.
CL4R1T4S is a repository that functions as a curated archive of extracted system prompts, tool definitions, and behavioral instructions from major AI models and agent platforms. It contains no executable code, data pipelines, or analytical scripts. The entire repository consists of flat text and markdown files organized by vendor (e.g., OPENAI, ANTHROPIC, XAI, CURSOR, REPLIT), each containing what are claimed to be verbatim system prompts for models like ChatGPT, Claude, Grok, Gemini, and various coding agents like Devin, Cursor, Windsurf, and Replit. The repository's stated purpose is transparency — making visible the hidden instructions that shape AI behavior. However, from a data engineering or software architecture perspective, there is no data lineage to trace, no transformation logic to evaluate, and no code to assess for craftsmanship. The files are static documents with no programmatic relationship between them. There are no tests, no dependency manifests, no environment definitions, and no data processing logic of any kind. The collection has some research value as a comparative corpus for prompt analysis, but it is entirely unstructured as data. There are no schemas, no metadata standards, no versioning discipline, and no way to verify the authenticity or currency of the extracted prompts. The README itself contains signs of prompt injection attempts and unprofessional editorializing that undermine the project's credibility as a serious transparency effort. There are no reusable components, no engineering patterns, and no data operations present.