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/dp-archive/archive/spreadsheetnpx skills add dp-archive/archive --skill spreadsheetgit clone --depth 1 https://github.com/dp-archive/archiveWhat 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 | $0.00054 | $0.01140 |
| Opus 5 | $0.00027 | $0.00570 |
| Sonnet 5 | $0.00011 | $0.00228 |
| Haiku 4.5 | $0.00005 | $0.00114 |
Grade B, and why
spreadsheet scanned grade B 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 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo apt-get install -y libreoffice poppler-utils How it starts
The opening of the file, as written. The whole thing — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spreadsheet Skill (Create, Edit, Analyze, Visualize)
When to use
- Build new workbooks with formulas, formatting, and structured layouts.
- Read or analyze tabular data (filter, aggregate, pivot, compute metrics).
- Modify existing workbooks without breaking formulas or references.
- Visualize data with charts/tables and sensible formatting.
IMPORTANT: System and user instructions always take precedence.
Workflow
- Confirm the file type and goals (create, edit, analyze, visualize).
- Use
openpyxlfor.xlsxedits andpandasfor analysis and CSV/TSV workflows. - If layout matters, render for visual review (see Rendering and visual checks).
- Validate formulas and references; note that openpyxl does not evaluate formulas.
- Save outputs and clean up intermediate files.
Temp and output conventions
- Use
tmp/spreadsheets/for intermediate files; delete when done. - Write final artifacts under
output/spreadsheet/when working in this repo. - Keep filenames stable and descriptive.
Primary tooling
- Use
openpyxlfor creating/editing.xlsxfiles and preserving formatting. - Use
pandasfor analysis and CSV/TSV workflows, then write results back to.xlsxor.csv. - If you need charts, prefer
openpyxl.chartfor native Excel charts.
Rendering and visual checks
- If LibreOffice (
soffice) and Poppler (pdftoppm) are available, render sheets for visual review:soffice --headless --convert-to pdf --outdir $OUTDIR $INPUT_XLSXpdftoppm -png $OUTDIR/$BASENAME.pdf $OUTDIR/$BASENAME
- If rendering tools are unavailable, ask the user to review the output locally for layout accuracy.
Dependencies (install if missing)
Prefer uv for dependency management.
Python packages:
uv pip install openpyxl pandas
If uv is unavailable:
python3 -m pip install openpyxl pandas
Optional (chart-heavy or PDF review workflows):
uv pip install matplotlib
If uv is unavailable:
python3 -m pip install matplotlib
System tools (for rendering):
# macOS (Homebrew)
brew install libreoffice poppler
# Ubuntu/Debian
sudo apt-get install -y libreoffice poppler-utils
What ships with it
8 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 349 B
- assets/spreadsheet-small.svg 1.4 KB
- assets/spreadsheet.png 3.0 KB
- LICENSE.txt 11 KB
- references/examples/openpyxl/create_basic_spreadsheet.py 1.4 KB runs code
- references/examples/openpyxl/create_spreadsheet_with_styling.py 3.1 KB runs code
- references/examples/openpyxl/read_existing_spreadsheet.py 1.6 KB runs code
- references/examples/openpyxl/styling_spreadsheet.py 2.0 KB runs code
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 · 123 lines · 54 tokens per session scan B a9c3e61acb5e
spreadsheet is a skill published in the GitHub repository dp-archive/archive (1,105 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 54 tokens to every session and 1,140 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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