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 shaharsha/claude-skills --skill gsheetsgit clone --depth 1 https://github.com/shaharsha/claude-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/shaharsha/claude-skills/gsheets)<a href="https://agentmods.dev/skills/shaharsha/claude-skills/gsheets"><img src="https://agentmods.dev/badge/skills/shaharsha/claude-skills/gsheets/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/shaharsha/claude-skills/gsheets"><img src="https://agentmods.dev/badge/skills/shaharsha/claude-skills/gsheets.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 | $0.00156 | $0.04002 |
| Opus 5 | $0.00078 | $0.02001 |
| Sonnet 5 | $0.00031 | $0.00800 |
| Haiku 4.5 | $0.00016 | $0.00400 |
Grade A, and why
gsheets scanned grade A with 1 finding 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 10d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Python 3.9+** (stdlib only for HTTP via `urllib.request`) How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
gsheets
A single-file Python CLI (scripts/gsheets.py) over the Google Sheets API v4 covering data, tabs, structure, styling, filters/sort, and a raw-batchUpdate escape hatch. Sibling of gdoc-sync — same auth model, same retry semantics, different surface.
The script has one external dep beyond Python stdlib: pip install google-auth for service-account auth (recommended). Without it you can still use gcloud ADC, or install cryptography and the script will mint JWTs itself.
Quick start
# One-time: share the target Sheet with your service account as Editor.
# Then:
scripts/gsheets.py info <SPREADSHEET_ID> --sa-key ~/sa.json
scripts/gsheets.py write <SPREADSHEET_ID> --range "Sheet1!A1" \
--values-json '[["name","status"],["alpha","ok"],["beta","fail"]]' \
--sa-key ~/sa.json
scripts/gsheets.py format-header <SPREADSHEET_ID> --tab Sheet1 \
--bg "#1a73e8" --fg "#ffffff" --filter \
--sa-key ~/sa.json
SPREADSHEET_ID is the long token in the URL: https://docs.google.com/spreadsheets/d/<SPREADSHEET_ID>/edit.
Skip --sa-key to fall back to gcloud auth application-default print-access-token (needs prior gcloud auth application-default login --scopes=...spreadsheets,...drive). Service-account auth is more reliable — see reference/auth-setup.md.
Conceptual model
A Google Sheets file is a spreadsheet. It contains one or more sheets (aka tabs or worksheets). Each sheet is a grid of cells. Three IDs / names matter:
| Identifier | Where from | Used by |
|---|---|---|
| spreadsheetId | URL: /spreadsheets/d/<ID>/edit |
Every subcommand (first positional arg) |
sheet title (e.g. "Sheet1", "Review") |
What you see on the tab strip | A1-notation ranges ("Review!A1:C10"); --tab flag |
| sheetId (integer) | list-tabs output |
The raw batchUpdate API — but the CLI resolves titles for you, so you rarely need it directly |
A1 notation vs GridRange: the values.* endpoints (read/write/append/clear) take A1 strings. Everything else (formatting, structure, filters) takes a numeric GridRange — but the CLI lets you pass A1 + --tab and translates it internally.
What ships with it
7 files 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.
- 10d ago First seen · 272 lines · 156 tokens per session scan A 684e60ca3600
gsheets is a skill published in the GitHub repository shaharsha/claude-skills (5 stars, last pushed 13d ago), licensed MIT. It adds 156 tokens to every session and 4,002 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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