Readability
brycewang-stanford/Auto-Empirical-Research-Skills
Correct grammar errors, typos, and improve academic readability in LaTeX, Markdown, or plain-text manuscripts.
Build a final, machine-readable argument snapshot from current H3 sections and refresh section fingerprints before merge.
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill argument-selfloop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills argument-selfloop --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "argument-selfloop" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/argument-selfloop into .claude/skills/argument-selfloop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "argument-selfloop", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/argument-selfloopType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill argument-selfloop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills argument-selfloop --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/argument-selfloop .agents/skills/argument-selfloop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "argument-selfloop" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/argument-selfloop into .agents/skills/argument-selfloop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "argument-selfloop", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill argument-selfloop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills argument-selfloop --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/argument-selfloop .cursor/skills/argument-selfloop && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "argument-selfloop" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/argument-selfloop into .cursor/skills/argument-selfloop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "argument-selfloop", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/WILLOSCAR/research-units-pipeline-skills.git --path .codex/skills/argument-selfloop--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill argument-selfloop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills argument-selfloop --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/argument-selfloop .gemini/skills/argument-selfloop && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "argument-selfloop" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/argument-selfloop into .gemini/skills/argument-selfloop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "argument-selfloop", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install WILLOSCAR/research-units-pipeline-skills argument-selfloopInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill argument-selfloop -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/argument-selfloop .github/skills/argument-selfloop && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "argument-selfloop" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/argument-selfloop into .github/skills/argument-selfloop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "argument-selfloop", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill argument-selfloop -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills argument-selfloop --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/argument-selfloop .opencode/skills/argument-selfloop && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "argument-selfloop" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/argument-selfloop into .opencode/skills/argument-selfloop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "argument-selfloop", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
argument-selfloopBuild 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.
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…
Read from SKILL.md and the folder at commit c92912a. It shows what the files ask for, not the result of running them.
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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
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.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
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.”
SKILL.md and 1 other file (scripts) in .codex/skills/argument-selfloop of WILLOSCAR/research-units-pipeline-skills.
Open the folder on GitHubat commit c92912a
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Argument Selfloop this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~628 | Automated safety check: Pass | None | |
| Readabilitybrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~2.8k | Automated safety check: Notes | Custom licence | |
| Insta Snapshot Reviewoxc-project/oxc | 23k | — | ~356 | Automated safety check: Pass | MIT | |
| Playground Snapshot Releasemastra-ai/mastra | 29k | — | ~1.7k | Automated safety check: Pass | Custom licence | |
| Readable Pycrazyguitar/pysheeet | 8.2k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Generate Snapshot Testsgetsentry/sentry | 46k | — | ~3.3k | Automated safety check: Pass | Custom licence |
brycewang-stanford/Auto-Empirical-Research-Skills
Correct grammar errors, typos, and improve academic readability in LaTeX, Markdown, or plain-text manuscripts.
oxc-project/oxc
Reviews and accepts Insta snapshot changes in the Oxc repo from the command line, one reviewed snapshot at a time, instead of using the interactive UI.
mastra-ai/mastra
Publish a Playground UI snapshot (@mastra/playground-ui and its workspace dependencies) from main or the current branch via the playground-snapshot mode of the Publish to npm workflow, wait for it…
crazyguitar/pysheeet
Readable Python code rules inspired by The Art of Readable Code.
getsentry/sentry
Generate snapshot test files for Sentry frontend React components.
github/awesome-copilot
Finalize prompt file using the role of an AI agent to polish the prompt for the end user.
WILLOSCAR/research-units-pipeline-skills
Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.
WILLOSCAR/research-units-pipeline-skills
Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing output/CONTRACTREPORT.md; use for mid-Run coverage snapshots or final delivery completeness, not deep…
WILLOSCAR/research-units-pipeline-skills
Retrieve arXiv paper metadata with keyword queries or import an offline arXiv export, and save results as JSONL (papers/papersraw.jsonl).
WILLOSCAR/research-units-pipeline-skills
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.
WILLOSCAR/research-units-pipeline-skills
Build a retrieval-informed chapter skeleton (outline/chapterskeleton.yml) from taxonomy/core scope before stable H3 decomposition.
WILLOSCAR/research-units-pipeline-skills
A skill your agent uses when a broad paper candidate pool needs deterministic deduplication and a stable core set.
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.
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.
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.
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.
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.
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.
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.
No licence was found for Argument Selfloop or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
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.
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.
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.