Production-grade scaffold with AGENTS.md/SKILL.md, 10-stage DAG pipelines, and cryptographic provenance.
Reproducible Research is worth checking the docs before setup with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
gh repo clone docxology/templateOpen or clone the template repository.
Move the relevant AGENTS.md content into your project root.
Update project-specific commands, environment rules, and sensitive areas.
Repository setup guidance
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 194 days ago.
12 GitHub stars indicate community interest.
1 open issues signal maintenance load.
MIT license detected.
1 security/trust notes recorded.
Setup difficulty is 4/5.
Local-first MCP server that turns any public GitHub, GitLab, or Bitbucket repo into fresh, version-pinned documentation for AI coding assistants.
Turn OpenAPI, MCP, Doxygen, godoc, rustdoc, and Markdown into static documentation sites you own.
An MCP server that exposes llms.txt files to IDEs for context-aware development.
Optimize markdown documentation for LLMs and RAG systems, reducing token consumption by 67-95%.
Shows how serious academic workflows integrate AI agents with reproducibility guarantees.
Production-grade scaffold with AGENTS.md/SKILL.md, 10-stage DAG pipelines, and cryptographic provenance.
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2
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1
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MIT
License
Production-grade scaffold with AGENTS.md/SKILL.md, 10-stage DAG pipelines, and cryptographic provenance.
Researchers, Data Scientists
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Academic workflow — adapt for production use
Similar or complementary options to evaluate include ctxpeek, sourcey, mcpdoc.
Aug 20, 2026