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.
npx skills add opendatahub-io/ai-helpers --skill google-workspacegit clone --depth 1 https://github.com/opendatahub-io/ai-helpersWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/opendatahub-io/ai-helpers/google-workspace)<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/google-workspace"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/google-workspace/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/google-workspace"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/google-workspace.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00107 | $0.03434 |
| Opus 5 | $0.00053 | $0.01717 |
| Sonnet 5 | $0.00021 | $0.00687 |
| Haiku 4.5 | $0.00011 | $0.00343 |
Grade A, and why
google-workspace scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 376 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Workspace
Access Google Workspace data via the gws CLI. Fetches content
and presents it as markdown context inside the current session.
Prerequisites
gwsbinary must be on$PATH- Authenticated: run
gws auth loginif not already logged in
If gws is not installed, not on PATH, or authentication fails with a 401/403,
read references/setup.md for the full first-time setup walkthrough.
Command Patterns
gws has two ways to call any service:
- Shortcut commands (prefixed with
+) — concise, opinionated, cover common tasks. Prefer these when they fit. - Raw API calls — full access to any Google API method via
gws <service> <resource> <method> --params '<JSON>'. Use when shortcuts don't expose the parameter you need.
Try the shortcut first. Fall back to the raw API when you need filters, field selection, pagination control, or parameters the shortcut doesn't expose.
Extracting IDs from Google URLs
Many requests include a Google URL. Extract the document ID before calling gws:
| Service | URL pattern | ID location |
|---|---|---|
| Docs | docs.google.com/document/d/<ID>/... |
between /d/ and next / |
| Sheets | docs.google.com/spreadsheets/d/<ID>/... |
between /d/ and next / |
| Slides | docs.google.com/presentation/d/<ID>/... |
between /d/ and next / |
| Drive file | drive.google.com/file/d/<ID>/... |
between /d/ and next / |
| Drive folder | drive.google.com/drive/folders/<ID> |
after /folders/ |
Extract the ID with sed (works on both macOS and Linux):
URL="https://docs.google.com/document/d/1aBcDeFgHiJkLmNoPqRsTuVwXyZ/edit"
DOC_ID=$(echo "$URL" | sed -E 's|.*/d/([A-Za-z0-9_-]+).*|\1|')
Shell Tips
- zsh
!expansion: Sheet ranges likeSheet1!A1trigger history expansion in zsh. Use double quotes:--range "Sheet1!A1:D10" - JSON flags: Wrap
--paramsand--jsonin single quotes so the shell preserves inner double quotes:--params '{"pageSize": 5}'
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 376 lines · 107 tokens per session scan A d411155a7736
google-workspace is a skill published in the GitHub repository opendatahub-io/ai-helpers (37 stars, last pushed 3d ago), licensed Apache-2.0. It adds 107 tokens to every session and 3,434 once invoked, about $0.0005 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.
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