Borrowing it
Nothing to install: this file belongs to luckeyfaraday/OpenGolem. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/luckeyfaraday/OpenGolem/main/.claude/skills/xlsx/SKILL.mdgit clone --depth 1 https://github.com/luckeyfaraday/OpenGolemWrote 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/luckeyfaraday/opengolem/xlsx)<a href="https://agentmods.dev/skills/luckeyfaraday/opengolem/xlsx"><img src="https://agentmods.dev/badge/skills/luckeyfaraday/opengolem/xlsx.svg" alt="Measured on agentmods" 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 | $0.00044 | $0.01036 |
| Opus 5 | $0.00022 | $0.00518 |
| Sonnet 5 | $0.00009 | $0.00207 |
| Haiku 4.5 | $0.00004 | $0.00104 |
Grade A, and why
xlsx 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 7d 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 — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL.md — /xlsx Corporate Workbook Generator
What It Does
Generates professional Excel workbooks (.xlsx) from structured input. Output is generated from the reference template at:
.claude/skills/xlsx/templates/reference.xlsx
How to Invoke
/xlsx [workbook title] — [brief description of the workbook, sheets, and data it should contain]
The agent will generate a complete corporate workbook and recalculate formulas when needed.
Output
- File:
output/[title]_YYYY-MM-DD.xlsx - Format: Corporate workbook with a cover sheet plus styled data sheets
- Template: Loads
.claude/skills/xlsx/templates/reference.xlsxdirectly and preserves its workbook styles, page setup, sheet layout, and header/footer behavior
Workbook Structure
Every generated workbook follows this structure:
1. COVER
├── Workbook title
├── Subtitle (if applicable)
├── Prepared by
├── Date
├── Classification
└── Sheet index / notes
2. WORKSHEETS
├── Sheet title row
├── Header row with filters
├── Data rows
└── Optional formulas / notes
Formatting Standards
- Template authority: The reference workbook controls the visual system
- Headers: Dark fill, white bold text
- Body cells: Clean corporate formatting
- Hardcoded inputs: Blue text
- Formulas: Black text
- Negative values: Prefer number formats with parentheses where appropriate
- Freeze panes: Header row remains visible
- Filters: Enabled on header rows
Generation Script
Use the provided generator: .claude/skills/xlsx/scripts/generate_corporate_xlsx.py
python3 .claude/skills/xlsx/scripts/generate_corporate_xlsx.py \
--title "Fuel Oil Market Workbook" \
--subtitle "Q1 2026 Benchmark Review" \
--date "April 2026" \
--classification "CONFIDENTIAL" \
--prepared-by "BedRock AI Research" \
--output output/fuel_oil_workbook.xlsx \
--sheets-json '[
{
"name": "Key Metrics",
"description": "Top-line findings and benchmark statistics",
"headers": ["Metric", "Value", "Notes"],
"rows": [
["MOC Window", "30 minutes", "Platts closing window"],
["Settlement", 1100000000, "2022 Glencore resolution"],
["Coverage", "=COUNTA(A4:A5)", "Formula example"]
]
},
{
"name": "Trade Log",
"description": "Observed transactions and flags",
"headers": ["Date", "Counterparty", "Volume", "Flag"],
"rows": [
["2026-03-01", "Firm A", 42000, "Review"],
["2026-03-02", "Firm B", 38000, "Escalate"]
]
}
]'
What ships with it
4 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.
- 7d ago First seen · 150 lines · 44 tokens per session scan A 0f731a2d8589
xlsx is a skill published in the GitHub repository luckeyfaraday/OpenGolem (6 stars, last pushed 5mo ago), licensed MIT. It adds 44 tokens to every session and 1,036 once invoked, about $0.0002 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 2026-08-31.
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