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 fanfan-de/anybox --skill google-sheetsgit clone --depth 1 https://github.com/fanfan-de/anyboxWrote 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/fanfan-de/anybox/google-sheets)<a href="https://agentmods.dev/skills/fanfan-de/anybox/google-sheets"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/google-sheets/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/fanfan-de/anybox/google-sheets"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/google-sheets.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 | $0.00060 | $0.01218 |
| Opus 5 | $0.00030 | $0.00609 |
| Sonnet 5 | $0.00012 | $0.00244 |
| Haiku 4.5 | $0.00006 | $0.00122 |
Grade A, and why
google-sheets scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Google Sheets
Use this skill to keep spreadsheet work grounded in the exact spreadsheet, sheet, range, headers, and formulas that matter.
Purpose Of This File
This file is intentionally minimal and only covers:
- routing to the right spreadsheet workflow
- stateful operation and mandatory routing to reference files
- live-read/search safety for direct connector calls
Detailed editing, formula, chart, upload, live-read/search, and batch-update rules live in references/.
Latency is not a constraint for this skill, so always read the relevant reference files before performing the task.
If the user has not provided explicit style direction, read references/style-profiles.md and apply the appropriate Google Sheets destination default before authoring workbook formatting.
Default Routing
- New Google Sheets creation: first check whether the
[@spreadsheets](plugin://spreadsheets@openai-primary-runtime)plugin or the$Excelskill is installed. - If either is installed, YOU MUST use
[@spreadsheets](plugin://spreadsheets@openai-primary-runtime)or$Excelto create a local.xlsx. Then import the.xlsxinto Drive as a native Google Sheets spreadsheet. Readreferences/reference-import-spreadsheet-to-native-sheets.md. - If neither skill is installed, create the spreadsheet directly with Google Sheets MCP.
- Existing Google Sheets edits: use Google Sheets MCP directly.
Do not reference the local .xlsx in the final answer. Your final answer includes the Google Spreadsheet link only.
Canonical Workflow Bias
Prefer one simple proven workflow over a large tree of recovery branches. When a task matches a known successful pattern, follow that pattern directly instead of re-evaluating every possible fallback path. Do not let accumulated edge-case guardrails turn a straightforward Sheets task into a long blocker-analysis exercise.
For sheet creation and editing tasks, prefer this sequence when viable:
- Gather the required source material.
- Pick the correct default routing.
- Establish the sheet checklist or sheet plan.
- Build or edit the sheet.
- Verify the sheet is clean, complete, native, and scannable.
- Stop once the verified workflow has succeeded.
What ships with it
10 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.
- agents/openai.yaml 366 B
- assets/google-sheets-small.svg 1.6 KB
- assets/google-sheets.png 73 KB
- references/reference-batch-update-recipes.md 8.3 KB
- references/reference-chart-recipes.md 13 KB
- references/reference-edit-workflow.md 2.2 KB
- references/reference-formula-patterns.md 4.8 KB
- references/reference-import-spreadsheet-to-native-sheets.md 2.6 KB
- references/reference-live-read-search-safety.md 2.3 KB
- references/style-profiles.md 1.3 KB
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.
- 9d ago First seen · 90 lines · 60 tokens per session scan A 39aac7f189cd
google-sheets is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 1,218 once invoked, about $0.0003 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.
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