gws

A command-line tool for using Google Workspace services, including Gmail, Drive, Sheets, Calendar, Docs, Tasks, and Chat. It sends commands and returns results in formats such as JSON, tables, YAML, or CSV.

In plain words
What is it for?
Use it to read and send email, manage files, update spreadsheets, check calendars, create tasks, and work with other supported Google Workspace services.
Why use it?
It lets an agent handle Google Workspace tasks from one terminal interface instead of switching between separate web applications.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/vaayne/agent-kit/gws
Any agent
npx skills add vaayne/agent-kit --skill gws
Clone the repo
git clone --depth 1 https://github.com/vaayne/agent-kit

Made for: Claude Code, Codex.

Per session 121 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,305 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00121 $0.01305
Opus 5 $0.00060 $0.00652
Sonnet 5 $0.00024 $0.00261
Haiku 4.5 $0.00012 $0.00130

Measured 2d ago against content hash 0af7aefcc500, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gws scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/gws/SKILL.md · 143 lines

How it starts

The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.

gws — Google Workspace CLI

gws <service> <resource> [sub-resource] <method> [flags]

Helpers prefixed with + are high-level shortcuts — prefer them. Run gws <service> --help to discover all commands.

Key Flags

Flag Purpose
--params '{"k":"v"}' URL/query parameters
--json '{"k":"v"}' Request body
--format table|yaml|csv Output format (default: json)
--dry-run Validate without calling the API
--page-all Auto-paginate (NDJSON)
--upload <PATH> Upload file (multipart)

Shell Quoting

  • Wrap --params/--json in single quotes: --params '{"pageSize":10}'
  • Sheet ranges contain ! which zsh expands. Use double quotes: --range "Sheet1!A1:D10" (never single quotes)

Services

Gmail

gws gmail +triage                                                        # unread summary
gws gmail +send --to [email protected] --subject "Hi" --body "Hello"
gws gmail +read --message-id MSG_ID
gws gmail +reply --message-id MSG_ID --body "Thanks"
gws gmail users messages list --params '{"userId":"me","q":"is:unread"}'

Drive

gws drive files list --params '{"pageSize":10}'
gws drive +upload --file ./report.pdf --name "Q4 Report" --parent FOLDER_ID
gws drive permissions create --params '{"fileId":"FILE_ID"}' \
  --json '{"role":"reader","type":"user","emailAddress":"[email protected]"}'

Sheets

gws sheets +read --spreadsheet SHEET_ID --range "Sheet1!A1:D10"
gws sheets +append --spreadsheet SHEET_ID --range "Sheet1" --values '[["Alice",30]]'

Calendar

gws calendar +agenda
gws calendar +insert --summary "Sync" --start "2026-05-01T10:00:00" \
  --end "2026-05-01T11:00:00" --attendees "[email protected],[email protected]"
gws calendar events list --params '{"calendarId":"primary","maxResults":10}'

Read the full file on GitHub · 143 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 143 lines · 121 tokens per session scan A 0af7aefcc500

Subscribe to this mod's changes

gws is a skill published in the GitHub repository vaayne/agent-kit (53 stars, last pushed 6d ago), licensed MIT. It adds 121 tokens to every session and 1,305 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

agent-host-chat-contributions

Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.

microsoft/vscode · 56 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens