Agent skill

Argument Selfloop

by WILLOSCAR in WILLOSCAR/research-units-pipeline-skills

Build a final, machine-readable argument snapshot from current H3 sections and refresh section fingerprints before merge.

No licenceAuto-check passed

Install Argument Selfloop

skills CLI
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill argument-selfloop -a claude-code

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

GitHub CLI
$ gh skill install WILLOSCAR/research-units-pipeline-skills argument-selfloop --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/argument-selfloop .claude/skills/argument-selfloop && 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
argument-selfloop
GitHub stars
513
Token cost
~628 tokens
SKILL.md length
239 words
Files
2 (incl. scripts)
Skills in repo
107
Repo updated
First seen
Licence
None found

At a glance

Build a final, machine-readable argument snapshot from current H3 sections and refresh section fingerprints before merge.

  • SKILL.md covers Triggers & routing, Position In The Workflow, Inputs and Outputs, plus 2 more sections
  • Runs Python scripts from its folder; calls uv

What it does

Argument Selfloop is an agent skill from WILLOSCAR/research-units-pipeline-skills. Build a final, machine-readable argument snapshot from current H3 sections and refresh section fingerprints before merge.

Its SKILL.md is about 630 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

  • “/argument-selfloop”

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

Argument Selfloop loads about 628 tokens when it runs. Until then it costs about 35 tokens; SKILL.md has 239 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~628

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 239 words (~628 tokens).

“Create the final C5 snapshot consumed by merge and later audit.”

— opening of SKILL.md by WILLOSCAR
name
argument-selfloop

Read the full SKILL.md on GitHub

Files

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

  • SKILL.md
  • scripts/run.py

Open the folder on GitHubat commit c92912a

Compare with similar skills

Argument Selfloop 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.

Argument Selfloop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Argument Selfloop this skillWILLOSCAR/research-units-pipeline-skills513—~628Automated safety check: PassNone
Readabilitybrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~2.8kAutomated safety check: NotesCustom licence
Insta Snapshot Reviewoxc-project/oxc23k—~356Automated safety check: PassMIT
Playground Snapshot Releasemastra-ai/mastra29k—~1.7kAutomated safety check: PassCustom licence
Readable Pycrazyguitar/pysheeet8.2k—~2.4kAutomated safety check: PassMIT
Generate Snapshot Testsgetsentry/sentry46k—~3.3kAutomated safety check: PassCustom licence

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Questions about Argument Selfloop

What does Argument Selfloop do?

Build a final, machine-readable argument snapshot from current H3 sections and refresh section fingerprints before merge. Argument Selfloop is an agent skill from WILLOSCAR/research-units-pipeline-skills. Build a final, machine-readable argument snapshot from current H3 sections and refresh section fingerprints before merge.

How do I install Argument Selfloop in Claude Code?

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

How do I install Argument Selfloop in Codex?

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

Can I use Argument Selfloop 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 argument-selfloop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/argument-selfloop, .gemini/skills/argument-selfloop, .github/skills/argument-selfloop and .opencode/skills/argument-selfloop in your project.

What does Argument Selfloop need to run?

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

Does Argument Selfloop 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 Argument Selfloop 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 Argument Selfloop use?

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

How many tokens does Argument Selfloop use?

About 628 tokens (SKILL.md is roughly 2.5k 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 Argument Selfloop?

Skills that share tags, products or a category with Argument Selfloop: Readability (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Insta Snapshot Review (oxc-project/oxc, 23k stars), Playground Snapshot Release (mastra-ai/mastra, 29k stars) and Readable Py (crazyguitar/pysheeet, 8.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Argument Selfloop?

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.