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 claude-office-skills/skills --skill sheets-automationgit clone --depth 1 https://github.com/claude-office-skills/skillsWrote 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/claude-office-skills/skills/sheets-automation)<a href="https://agentmods.dev/skills/claude-office-skills/skills/sheets-automation"><img src="https://agentmods.dev/badge/skills/claude-office-skills/skills/sheets-automation/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/claude-office-skills/skills/sheets-automation"><img src="https://agentmods.dev/badge/skills/claude-office-skills/skills/sheets-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00023 | $0.03355 |
| Opus 5 | $0.00012 | $0.01677 |
| Sonnet 5 | $0.00005 | $0.00671 |
| Haiku 4.5 | $0.00002 | $0.00335 |
Grade A, and why
sheets-automation 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 — 536 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Sheets Automation
Automate Google Sheets workflows for data synchronization, task management, reporting dashboards, and multi-platform integrations. Based on n8n's 7,800+ workflow templates.
Overview
This skill covers:
- Automated data sync from multiple sources
- Task management with Slack reminders
- Real-time reporting dashboards
- CRM/Marketing data aggregation
- Scheduled report generation
Core Workflows
1. Multi-Source Data Aggregation
┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ HubSpot │ │ Stripe │ │ Google │
│ (CRM) │ │ (Payments) │ │ Analytics │
└──────┬──────┘ └──────┬──────┘ └──────┬──────┘
│ │ │
└─────────────────┼─────────────────┘
│
▼
┌──────────────────┐
│ Google Sheets │
│ (Master Dashboard)│
└──────────────────┘
│
▼
┌──────────────────┐
│ Slack/Email │
│ (Daily Report) │
└──────────────────┘
n8n Configuration:
workflow: "Daily Business Metrics Sync"
schedule: "6:00 AM daily"
steps:
1. fetch_crm_data:
source: hubspot
data:
- new_leads_today
- deals_closed
- pipeline_value
2. fetch_revenue_data:
source: stripe
data:
- mrr
- new_subscriptions
- churn
3. fetch_traffic_data:
source: google_analytics
data:
- sessions
- conversions
- bounce_rate
4. update_sheets:
spreadsheet: "Business Dashboard"
sheet: "Daily Metrics"
action: append_row
data:
- date: today
- leads: "{hubspot.new_leads}"
- deals: "{hubspot.deals_closed}"
- mrr: "{stripe.mrr}"
- sessions: "{ga.sessions}"
5. update_charts:
refresh: automatic (Sheets built-in)
6. send_summary:
slack:
channel: "#daily-metrics"
message: |
📊 Daily Metrics - {date}
💰 Revenue: ${mrr} MRR
👥 New Leads: {leads}
🎯 Deals Closed: {deals}
📈 Website Sessions: {sessions}
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 · 536 lines · 23 tokens per session scan A 929139daed25
sheets-automation is a skill published in the GitHub repository claude-office-skills/skills (460 stars, last pushed 7mo ago), licensed MIT. It adds 23 tokens to every session and 3,355 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 2026-09-03.
Other skills, from other repositories
guides
This guide helps Claude (and other AI assistants) use ServalSheets MCP server effectively.
sheets-cli
Read, write, and update Google Sheets data via CLI. Use when the user asks to read spreadsheet data, update cells, append rows, or work with Google Sheets. Triggers on mentions of spreadsheets, sheets, Google Sheets, tabular data in the cloud, or specific sheet names like "Projects" or "Tasks".
gws-sheets
Google Sheets: Read and write spreadsheets.
gws-sheets-append
Google Sheets: Append a row to a spreadsheet.
gws-sheets-read
Google Sheets: Read values from a spreadsheet.
recipe-create-expense-tracker
Set up a Google Sheets spreadsheet for tracking expenses with headers and initial entries.