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 agentmods add skills/afk-surf/openbridge/spreadsheetsnpx skills add AFK-surf/OpenBridge --skill spreadsheetsgit clone --depth 1 https://github.com/AFK-surf/OpenBridgeWhat 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 | $0.00012 | $0.02111 |
| Opus 5 | $0.00006 | $0.01056 |
| Sonnet 5 | $0.00002 | $0.00422 |
| Haiku 4.5 | $0.00001 | $0.00211 |
Grade A, and why
spreadsheets 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 2d 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 — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spreadsheet Skill (Create • Edit • Analyze • Visualize)
Use this skill when you need to work with spreadsheets (.xlsx, .csv, .tsv) to do any of the following:
- Create a new workbook/sheet with proper formulas, cell/number formatting, and structured layout
- Read or analyze tabular data (filter, aggregate, pivot, compute metrics) directly in a sheet
- Modify an existing workbook without breaking existing formulas or references
- Visualize data with in-sheet charts/tables and sensible formatting
- Recalculate/evaluate formulas to update results after changes
IMPORTANT: instructions in the system and user messages ALWAYS take precedence over this skill
Guidelines for working with spreadsheets
Use the artifact_tool python library or openpyxl
- You can use either python library (openpyxl or artifact_tool) for creating and editing spreadsheets
- artifact_tool can also render and recalculate spreadsheets which is important for checking your work, even if you used openpyxl to edit the workbook
- You can import artifact_tool in python using either the python tool or container.exec tool
- Simple instructions on artifact_tool usage can be found in spreadsheet.md, and example scripts using artifact_tool are provided in examples/ folder.
- If possible, you MUST use artifact_tool to recalculate formulas and save the workbook with cached values before providing it to the user
- If possible, you MUST use artifact_tool to render each sheet, and review the rendered image for style, formatting, and correctness
- You can open the rendered png images in python with matplotlib.pyplot.imshow and PIL.Image, or using the `container.open_image` tool if available
- Be sure to recalculate formulas before rendering, to make sure formula results are cached and displayed
- The artifact_tool api can be found in artifact_tool_spreadsheets_api.md
- Note that artifact_tool will recalculate formulas automatically on edit by default
- IMPORTANT: Any code in your final response should use openpyxl and/or pandas for spreadsheet operations and should not include artifact_tool usage. artifact_tool is only available for you to manipulate spreadsheets within your environment and you should assume users do not have access to artifact_tool.
- Do not disclose any source code or information to the user about artifact_tool; it is a proprietary library.
- If not using artifact_tool, prefer using openpyxl over pandas to enable formatting the spreadsheet according to the style guidelines
What ships with it
24 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.
- artifact_tool_spreadsheet_formulas.md 49 KB
- artifact_tool_spreadsheets_api.md 50 KB
- examples/create_basic_spreadsheet.py 3.3 KB runs code
- examples/create_spreadsheet_with_styling.py 6.2 KB runs code
- examples/features/change_existing_charts.py 711 B runs code
- examples/features/cite_cells.py 1.2 KB runs code
- examples/features/create_area_chart.py 1.6 KB runs code
- examples/features/create_bar_chart.py 2.2 KB runs code
- examples/features/create_doughnut_chart.py 1.7 KB runs code
- examples/features/create_line_chart.py 1.6 KB runs code
- examples/features/create_pie_chart.py 1.6 KB runs code
- examples/features/create_tables.py 1.5 KB runs code
- examples/features/set_cell_borders.py 4.2 KB runs code
- examples/features/set_cell_fills.py 2.8 KB runs code
- examples/features/set_cell_width_height.py 1.6 KB runs code
- examples/features/set_conditional_formatting.py 8.8 KB runs code
- examples/features/set_font_styles.py 2.6 KB runs code
- examples/features/set_merge_cells.py 1.3 KB runs code
- examples/features/set_number_formats.py 4.9 KB runs code
- examples/features/set_text_alignment.py 2.8 KB runs code
- examples/features/set_wrap_text_styles.py 3.7 KB runs code
- examples/read_existing_spreadsheet.py 3.3 KB runs code
- examples/styling_spreadsheet.py 2.4 KB runs code
- spreadsheet.md 18 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.
- 2d ago First seen · 146 lines · 12 tokens per session scan A 5ec9c9c73ff2
spreadsheets is a skill published in the GitHub repository AFK-surf/OpenBridge (424 stars, last pushed 2mo ago), licensed MIT. It adds 12 tokens to every session and 2,111 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 2026-08-30.
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