Agent skill

Gas Clasp Ops

by minicoohei in minicoohei/ai-agent-camp

Google Apps Script (GAS) プロジェクトを clasp 経由で操作するスキル. An agent skill from minicoohei/ai-agent-camp.

No licenceAuto-check passed

Install Gas Clasp Ops

skills CLI
$ npx skills add minicoohei/ai-agent-camp --skill gas-clasp-ops -a claude-code

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

GitHub CLI
$ gh skill install minicoohei/ai-agent-camp gas-clasp-ops --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/minicoohei/ai-agent-camp.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/gas-clasp-ops .claude/skills/gas-clasp-ops && 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
gas-clasp-ops
GitHub stars
347
Token cost
~805 tokens
SKILL.md length
136 words
Files
5 (incl. scripts)
Skills in repo
37
Repo updated
First seen
Licence
None found

At a glance

Google Apps Script (GAS) プロジェクトを clasp 経由で操作するスキル. An agent skill from minicoohei/ai-agent-camp.

  • SKILL.md covers 前提条件, クイックスタート, コマンド and オプション, plus 8 more sections
  • Runs Python scripts from its folder; calls python and npx

What it does

Gas Clasp Ops is an agent skill from minicoohei/ai-agent-camp. Google Apps Script (GAS) プロジェクトを clasp 経由で操作するスキル。 「GASをデプロイして」「claspでpush」「GAS関数をテスト」等のリクエストで発動。 push / deploy / run を一括または個別に実行。複数プロジェクト管理に対応。

Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including scripts (for example `SKILL.en.md`, `SKILL.es.md` and `agents/openai.yaml`).

The repository describes itself as: AI Agent Camp — non-engineer-friendly AI agent training curriculum. Lessons, skills, commands, and hooks for Claude Code, Cursor, and Codex.

Example prompts

  • “/gas-clasp-ops”

Requirements

  • Python 3
  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit 048ba4c. 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:

    • python
    • npx

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

  • Network

    Links to these hosts (documentation or services it may open):

    • script.google.com

    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

Gas Clasp Ops loads about 805 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 136 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~40
When it runs · the whole SKILL.md, loaded when a task matches
~805

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 136 words (~805 tokens).

“Google Apps Script プロジェクトを clasp CLI で一括操作するためのスキル。”

— opening of SKILL.md by minicoohei
name
gas-clasp-ops
triggers
gas-clasp-ops, GASデプロイ, clasp push, Apps Script, GASテスト, スクリプト反映, clasp

Read the full SKILL.md on GitHub

Files

SKILL.md and 4 other files (scripts) in skills/gas-clasp-ops of minicoohei/ai-agent-camp.

  • SKILL.md
  • SKILL.en.md
  • SKILL.es.md
  • agents/openai.yaml
  • scripts/clasp_ops.py

Open the folder on GitHubat commit 048ba4c

Compare with similar skills

Gas Clasp Ops 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.

Gas Clasp Ops compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Gas Clasp Ops this skillminicoohei/ai-agent-camp347—~805Automated safety check: PassNone
Knowledge Opsaffaan-m/ECC277k2 repos~1.7kAutomated safety check: PassMIT
Research Opsaffaan-m/ECC277k2 repos~902Automated safety check: PassMIT
Terminal Opsaffaan-m/ECC277k2 repos~750Automated safety check: PassMIT
Messages Opsaffaan-m/ECC277k1 repos~724Automated safety check: PassMIT
Email Opsaffaan-m/ECC277k1 repos~1.1kAutomated safety check: PassMIT

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Questions about Gas Clasp Ops

What does Gas Clasp Ops do?

Google Apps Script (GAS) プロジェクトを clasp 経由で操作するスキル. An agent skill from minicoohei/ai-agent-camp. Gas Clasp Ops is an agent skill from minicoohei/ai-agent-camp.

How do I install Gas Clasp Ops in Claude Code?

Run `npx skills add minicoohei/ai-agent-camp --skill gas-clasp-ops -a claude-code`. Or copy the skill folder (skills/gas-clasp-ops in minicoohei/ai-agent-camp) into .claude/skills/gas-clasp-ops in your project. Claude Code loads it when a task matches its description.

How do I install Gas Clasp Ops in Codex?

Run `npx skills add minicoohei/ai-agent-camp --skill gas-clasp-ops -a codex`. Or copy the skill folder (skills/gas-clasp-ops in minicoohei/ai-agent-camp) into .agents/skills/gas-clasp-ops in your project. Codex loads it when a task matches its description.

Can I use Gas Clasp Ops 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 minicoohei/ai-agent-camp --skill gas-clasp-ops -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/gas-clasp-ops, .gemini/skills/gas-clasp-ops, .github/skills/gas-clasp-ops and .opencode/skills/gas-clasp-ops in your project.

What does Gas Clasp Ops need to run?

Going by SKILL.md and its folder, Gas Clasp Ops needs Python for the scripts in its folder and the command-line tools its instructions call (python and npx). Our summary lists: Python 3; Node.js.

Does Gas Clasp Ops access the network?

SKILL.md names 1 domain. As links in the text: script.google.com. This is read from the text; nothing was executed.

Is Gas Clasp Ops 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 Gas Clasp Ops use?

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

How many tokens does Gas Clasp Ops use?

About 805 tokens (SKILL.md is roughly 3.2k 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 Gas Clasp Ops?

Skills that share tags, products or a category with Gas Clasp Ops: Knowledge Ops (affaan-m/ECC, 277k stars), Research Ops (affaan-m/ECC, 277k stars), Terminal Ops (affaan-m/ECC, 277k stars) and Messages Ops (affaan-m/ECC, 277k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Gas Clasp Ops?

minicoohei (a GitHub user) maintains it in minicoohei/ai-agent-camp, which has 347 GitHub stars. The repository holds 37 skills in this directory. The repository was last updated on October 7, 2026.

Source: minicoohei/ai-agent-camp on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.