Fetch and normalize supported source-tutorial inputs into local, traceable text artifacts.

No licenceAuto-check passed

Install Source Ingest

skills CLI
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill source-ingest -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install WILLOSCAR/research-units-pipeline-skills source-ingest --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/source-ingest .claude/skills/source-ingest && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
source-ingest
GitHub stars
513
Token cost
~470 tokens
SKILL.md length
184 words
Files
2 (incl. scripts)
Skills in repo
107
Repo updated
First seen
Licence
None found

At a glance

Fetch and normalize supported source-tutorial inputs into local, traceable text artifacts.

  • SKILL.md covers Triggers & routing, Inputs, Outputs and Supported kinds, plus 3 more sections
  • Runs Python scripts from its folder; calls uv

What it does

Source Ingest is an agent skill from WILLOSCAR/research-units-pipeline-skills. Fetch and normalize supported source-tutorial inputs into local, traceable text artifacts.

Its SKILL.md is about 470 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/run.py`).

The repository describes itself as: Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing…

Example prompts

  • “/source-ingest”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit c92912a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Source Ingest loads about 470 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 184 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~470

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 184 words (~470 tokens).

“Goal: normalize mixed source inputs into local tutorial-ready text while preserving provenance.”

— opening of SKILL.md by WILLOSCAR
name
source-ingest

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (scripts) in .codex/skills/source-ingest of WILLOSCAR/research-units-pipeline-skills.

  • SKILL.md
  • scripts/run.py

Open the folder on GitHubat commit c92912a

Compare with similar skills

Source Ingest next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Source Ingest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Source Ingest this skillWILLOSCAR/research-units-pipeline-skills513—~470Automated safety check: PassNone
Market Ingestruvnet/ruflo74k—~529Automated safety check: NotesMIT
Wiki Ingestpaperclipai/paperclip99k—~933Automated safety check: PassMIT
Persona Customer Supportgoogleworkspace/cli31k—~303Automated safety check: PassApache-2.0
TutorialQ00/ouroboros6.2k—~1.6kAutomated safety check: PassMIT
Customer Support Agentmastra-ai/mastra29k—~2.2kAutomated safety check: PassCustom licence

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  • Chapter Lead Writer

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    Write H2 chapter lead blocks (sections/S<secidlead.md) that preview the chapter's comparison lens and connect its H3 subsections, without adding new facts.

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  • Chapter Skeleton

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    Build a retrieval-informed chapter skeleton (outline/chapterskeleton.yml) from taxonomy/core scope before stable H3 decomposition.

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Questions about Source Ingest

What does Source Ingest do?

Fetch and normalize supported source-tutorial inputs into local, traceable text artifacts. Source Ingest is an agent skill from WILLOSCAR/research-units-pipeline-skills. Fetch and normalize supported source-tutorial inputs into local, traceable text artifacts.

How do I install Source Ingest in Claude Code?

Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill source-ingest -a claude-code`. Or copy the skill folder (.codex/skills/source-ingest in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/source-ingest in your project. Claude Code loads it when a task matches its description.

How do I install Source Ingest in Codex?

Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill source-ingest -a codex`. Or copy the skill folder (.codex/skills/source-ingest in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/source-ingest in your project. Codex loads it when a task matches its description.

Can I use Source Ingest in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill source-ingest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/source-ingest, .gemini/skills/source-ingest, .github/skills/source-ingest and .opencode/skills/source-ingest in your project.

What does Source Ingest need to run?

Going by SKILL.md and its folder, Source Ingest needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.

Does Source Ingest access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Source Ingest safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Source Ingest use?

No licence was found for Source Ingest or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Source Ingest use?

About 470 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Source Ingest?

Skills that share tags, products or a category with Source Ingest: Market Ingest (ruvnet/ruflo, 74k stars), Wiki Ingest (paperclipai/paperclip, 99k stars), Persona Customer Support (googleworkspace/cli, 31k stars) and Tutorial (Q00/ouroboros, 6.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Source Ingest?

WILLOSCAR (a GitHub user) maintains it in WILLOSCAR/research-units-pipeline-skills, which has 513 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on October 5, 2026.

Source: WILLOSCAR/research-units-pipeline-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.