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Onefilellm

Skill onfire7777/universal-ai-skills-library/skills/onefilellm

Use when aggregating local files, directories, GitHub repositories/issues/PRs, documentation pages, PDFs, arXiv/DOI/PMID sources, YouTube transcripts, stdin, or clipboard text into a single LLM-ready XML context file using the locally installed jimmc414/onefilellm CLI. Use for context packaging, source bundling, repo-to-text conversion, and multi-source research ingestion.From its SKILL.md

Install
npx -y skills add onfire7777/universal-ai-skills-library --skill onefilellm

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 14 stars14 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.5 KB, 540 tokens by cl100k_base, as published. Nobody here has run it

OneFileLLM

Use this skill to collect multiple sources into one XML-style context payload for LLM analysis.

Source

  • Upstream repository: https://github.com/jimmc414/onefilellm
  • Integrated source commit: 99c51a2cbe8cc01c0db037a9f800ca31fae9c2cd
  • Local checkout: %USERPROFILE%\.onefilellm\onefilellm
  • Isolated venv CLI: %USERPROFILE%\.onefilellm\venv\Scripts\onefilellm.exe
  • Windows shim: %USERPROFILE%\.onefilellm\bin\onefilellm.cmd

README-Grounded Usage

The upstream README defines OneFileLLM as a command-line tool and Python API for aggregating local files, GitHub repos, web pages, PDFs, YouTube transcripts, arXiv/DOI/PMID sources, stdin, and clipboard content into a single structured XML output.

Run:

python scripts/run_onefilellm.py ./docs README.md
python scripts/run_onefilellm.py https://github.com/user/project
python scripts/run_onefilellm.py https://docs.python.org/3/tutorial/
python scripts/run_onefilellm.py --help-topic examples

Equivalent direct commands:

& "$env:USERPROFILE\.onefilellm\venv\Scripts\onefilellm.exe" --help
& "$env:USERPROFILE\.onefilellm\bin\onefilellm.cmd" --help-topic crawling

References

  • references/source-readme.md contains the full upstream README.
  • references/architecture.md contains upstream architecture notes.
  • references/requirements.txt and references/requirements-lock.txt document installed dependencies.
  • references/source-metadata.json records the integrated commit and local paths.

Safety And Quality Rules

  • Prefer local files/directories when possible.
  • Treat network sources as active fetches. Only run against trusted URLs or explicit user-provided URLs.
  • Do not pass secrets, private tokens, or sensitive local directories unless the user explicitly asks and the scope is clear.
  • Use GITHUB_TOKEN only when private GitHub access or higher rate limits are required.
  • Use OFFLINE_MODE=1 for local-only dry runs or when network fetches should be blocked.
  • For YouTube-only transcript work, prefer the youtube-transcript-english skill because it enforces English output more strictly than OneFileLLM's built-in transcript fallback.

What ships with it: 7 files

37.7 KB alongside SKILL.md, 1 of them executable

references/

scripts/

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