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 furkangonel/cowrangler --skill google-workspacegit clone --depth 1 https://github.com/furkangonel/cowranglerWrote 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/furkangonel/cowrangler/google-workspace)<a href="https://agentmods.dev/skills/furkangonel/cowrangler/google-workspace"><img src="https://agentmods.dev/badge/skills/furkangonel/cowrangler/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/furkangonel/cowrangler/google-workspace"><img src="https://agentmods.dev/badge/skills/furkangonel/cowrangler/google-workspace.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00016 | $0.02693 |
| Opus 5 | $0.00008 | $0.01347 |
| Sonnet 5 | $0.00003 | $0.00539 |
| Haiku 4.5 | $0.00002 | $0.00269 |
Grade A, and why
google-workspace scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 399 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Workspace API SOP
Read and write Google Docs, Sheets, and Drive files using the Google REST APIs. Covers OAuth setup, credential management, and concrete operations for each service.
When to Use
- User wants to read content from a Google Doc
- User wants to append rows to a Google Sheet
- User wants to list or upload files in Google Drive
- User wants to export a Google Doc as PDF or DOCX
- User wants to share a Drive file
Part 1 — Auth Setup
Google APIs require OAuth 2.0. Two paths:
Path A — Service Account (recommended for automation)
- Go to Google Cloud Console → select or create a project
- Enable APIs: Google Docs API, Google Sheets API, Google Drive API
- IAM & Admin → Service Accounts → Create Service Account
- Generate a JSON key → download as
service-account.json - Share target Docs/Sheets/Drive folders with the service account email (found in the JSON file)
export GOOGLE_SERVICE_ACCOUNT_JSON="$HOME/.cowrangler/service-account.json"
# Install: pip install google-auth google-auth-httplib2 google-api-python-client
from google.oauth2 import service_account
from googleapiclient.discovery import build
SCOPES = [
"https://www.googleapis.com/auth/documents",
"https://www.googleapis.com/auth/spreadsheets",
"https://www.googleapis.com/auth/drive",
]
creds = service_account.Credentials.from_service_account_file(
"service-account.json", scopes=SCOPES
)
docs_service = build("docs", "v1", credentials=creds)
sheets_service = build("sheets", "v4", credentials=creds)
drive_service = build("drive", "v3", credentials=creds)
Path B — OAuth 2.0 for User Accounts (interactive)
- Cloud Console → APIs & Services → Credentials → Create OAuth client ID → Desktop app
- Download
client_secret.json
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
import pickle, os
SCOPES = [
"https://www.googleapis.com/auth/documents",
"https://www.googleapis.com/auth/spreadsheets",
"https://www.googleapis.com/auth/drive",
]
creds = None
if os.path.exists("token.pickle"):
with open("token.pickle", "rb") as f:
creds = pickle.load(f)
if not creds or not creds.valid:
if creds and creds.expired and creds.refresh_token:
creds.refresh(Request())
else:
flow = InstalledAppFlow.from_client_secrets_file("client_secret.json", SCOPES)
creds = flow.run_local_server(port=0)
with open("token.pickle", "wb") as f:
pickle.dump(creds, f)
docs_service = build("docs", "v1", credentials=creds)
sheets_service = build("sheets", "v4", credentials=creds)
drive_service = build("drive", "v3", credentials=creds)
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.
- 8d ago First seen · 399 lines · 16 tokens per session scan A 762db3a22442
google-workspace is a skill published in the GitHub repository furkangonel/cowrangler (2 stars, last pushed yesterday), licensed MIT. It adds 16 tokens to every session and 2,693 once invoked, about $0.0001 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 2026-08-31.
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