Agent skill

Join

by Weber-GeoML in Weber-GeoML/Choir

Join a Choir formalization project as a contributor — set up this machine and start proving tasks (Lean 4, Isabelle, or Rocq) with your own agent on your own LLM account.

Apache-2.0Auto-check passed

Install Join

skills CLI
$ npx skills add Weber-GeoML/Choir --skill join -a claude-code

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

GitHub CLI
$ gh skill install Weber-GeoML/Choir join --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/Weber-GeoML/Choir.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugin/skills/join .claude/skills/join && 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
join
GitHub stars
114
Token cost
~522 tokens
SKILL.md length
259 words
Files
1
Skills in repo
2
Repo updated
First seen
Licence
Apache-2.0

At a glance

Join a Choir formalization project as a contributor — set up this machine and start proving tasks (Lean 4, Isabelle, or Rocq) with your own agent on your own LLM account.

  • Works in 4 steps: Resolve the target project. Accept… → Ensure a Choir checkout at ./choir… → Run the setup script, and re-run it… → …
  • The user wants to join
  • Calls gh
  • Work on a Choir project

What it does

Join is an agent skill from Weber-GeoML/Choir. Join a Choir formalization project as a contributor — set up this machine and start proving tasks (Lean 4, Isabelle, or Rocq) with your own agent on your own LLM account. Use when the user wants to join, contribute to, or work on a Choir project or its GitHub repo.

Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with GitHub. The repository describes itself as: An open protocol for distributed multi-agent autoformalization. The licence is Apache-2.0.

When your agent uses it

  • The user wants to join
  • Work on a Choir project
  • Its GitHub repo

Example prompts

  • “/join”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Resolve the target project. Accept owner/repo or a full GitHub URL
  2. Ensure a Choir checkout at ./choir (relative to the current
  3. Run the setup script, and re-run it until it reports READY
  4. Read ./choir/docs/agents/CONTRIBUTOR.md and operate by it from here on.

What it can do on your machine

Read from SKILL.md and the folder at commit 762d1ce. 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

    Shell commands in SKILL.md call:

    • gh

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

  • Network

    No URLs in SKILL.md. Its commands use gh, 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

Join loads about 522 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 259 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~522

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from Weber-GeoML/Choir at commit 762d1ce, republished under its Apache-2.0 licence (© Weber-GeoML). 259 words, ~522 tokens.

Download SKILL.mdSave it as .claude/skills/join/SKILL.md (or your agent's skills folder).
name
join
description
Join a Choir formalization project as a contributor — set up this machine and start proving tasks (Lean 4, Isabelle, or Rocq) with your own agent on your own LLM account. Use when the user wants to join, contribute to, or work on a Choir project or its GitHub repo.
argument-hint
[owner/repo]

Join a Choir project as a contributor

Choir is an open protocol for community-led formalization in kernel-checked proof assistants: tasks live as GitHub issues, submissions are PRs, and a deterministic gate verifies every submission before merge. You are setting this machine up as a contributor — the user's agent, hardware, and LLM account.

This skill is a pointer. All real behavior lives in Choir's scripts and playbooks — never improvise a step the script or playbook already owns.

  1. Resolve the target project. Accept owner/repo or a full GitHub URL (reduce it to owner/repo). If no project was given, ask the user which project to join — never guess.

  2. Ensure a Choir checkout at ./choir (relative to the current directory). If missing:

    gh repo clone Weber-GeoML/Choir ./choir

    If gh is missing or unauthenticated, have the user install it and run gh auth login first.

  3. Run the setup script, and re-run it until it reports READY:

    sh ./choir/scripts/join.sh <owner/repo>

    The script is idempotent and owns every prerequisite check and install. Fix what its ACTION NEEDED lines flag, then re-run. Do not hand-install or work around anything the script manages.

  4. Read ./choir/docs/agents/CONTRIBUTOR.md and operate by it from here on. That document is the contributor's operating manual: claiming a task, proving it, submitting, and what the gate will check. Everything after setup is its domain, not this skill's.

    If the user names another tool to prove with ("use AutoformBot as a worker"), also read ./choir/docs/agents/integrations/README.md and that tool's note: the tool does the proving, and the manual still governs everything around it.

© Weber-GeoML, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugin/skills/join of Weber-GeoML/Choir.

Open the folder on GitHubat commit 762d1ce

Compare with similar skills

Join 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.

Join compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Join this skillWeber-GeoML/Choir114—~522Automated safety check: PassApache-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow84k4 repos~1.3kAutomated safety check: PassMIT
Diagnosing Superpowers Sessionsobra/superpowers297k3 repos~1.7kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0

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More from Weber-GeoML/Choir

  • Formalize

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Works with

Questions about Join

What does Join do?

Join a Choir formalization project as a contributor — set up this machine and start proving tasks (Lean 4, Isabelle, or Rocq) with your own agent on your own LLM account. Join is an agent skill from Weber-GeoML/Choir. Join a Choir formalization project as a contributor — set up this machine and start proving tasks (Lean 4, Isabelle, or Rocq) with your own agent on your own LLM account.

When should I use Join?

Join fits situations like: the user wants to join; work on a Choir project; its GitHub repo.

How do I install Join in Claude Code?

Run `npx skills add Weber-GeoML/Choir --skill join -a claude-code`. Or copy the skill folder (plugin/skills/join in Weber-GeoML/Choir) into .claude/skills/join in your project. Claude Code loads it when a task matches its description.

How do I install Join in Codex?

Run `npx skills add Weber-GeoML/Choir --skill join -a codex`. Or copy the skill folder (plugin/skills/join in Weber-GeoML/Choir) into .agents/skills/join in your project. Codex loads it when a task matches its description.

Can I use Join 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 Weber-GeoML/Choir --skill join -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/join, .gemini/skills/join, .github/skills/join and .opencode/skills/join in your project.

What does Join need to run?

Going by SKILL.md and its folder, Join needs the command-line tools its instructions call (gh).

Does Join access the network?

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

Is Join 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. Review the folder before installing.

What licence does Join use?

Join is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Join use?

About 522 tokens (SKILL.md is roughly 2.1k 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 Join?

Skills that share tags, products or a category with Join: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Greploop (onyx-dot-app/onyx, 32k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars) and Diagnosing Superpowers Sessions (obra/superpowers, 297k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Join?

Weber-GeoML (a GitHub organization) maintains it in Weber-GeoML/Choir, which has 114 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 1, 2026.

Source: Weber-GeoML/Choir on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.