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 cxcscmu/SkillLearnBench --skill openpyxl-formula-editinggit clone --depth 1 https://github.com/cxcscmu/SkillLearnBenchWrote 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/cxcscmu/skilllearnbench/openpyxl-formula-editing)<a href="https://agentmods.dev/skills/cxcscmu/skilllearnbench/openpyxl-formula-editing"><img src="https://agentmods.dev/badge/skills/cxcscmu/skilllearnbench/openpyxl-formula-editing.svg" alt="Measured on agentmods" 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 | $0.00023 | $0.00232 |
| Opus 5 | $0.00012 | $0.00116 |
| Sonnet 5 | $0.00005 | $0.00046 |
| Haiku 4.5 | $0.00002 | $0.00023 |
Grade A, and why
openpyxl-formula-editing 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 4d 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.
What it actually says
Editing Excel Files with openpyxl (Preserve Formatting)
Load and Edit
from openpyxl import load_workbook
wb = load_workbook('file.xlsx')
ws = wb['SheetName']
# Write formula to a cell (preserves existing formatting)
ws['H12'] = '=SOME_FORMULA()'
# Iterate over a range
for row in range(12, 18):
for col_letter in ['H', 'I', 'J', 'K', 'L']:
ws[f'{col_letter}{row}'] = f'=FORMULA({col_letter}...)'
wb.save('file.xlsx')
Important Notes
- Assigning a value to a cell preserves its existing formatting (fill, font, borders)
- Formulas are stored as strings starting with '='
- Use
recalc.pyafter saving to compute formula values - Never open with
data_only=Trueif you plan to save (destroys formulas)
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.
- 4d ago First seen · 31 lines · 23 tokens per session scan A a24816543c99
openpyxl-formula-editing is a skill published in the GitHub repository cxcscmu/SkillLearnBench (83 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 232 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.
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