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 matingai/crab --skill xlsx-editgit clone --depth 1 https://github.com/matingai/crabWrote 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/matingai/crab/xlsx-edit)<a href="https://agentmods.dev/skills/matingai/crab/xlsx-edit"><img src="https://agentmods.dev/badge/skills/matingai/crab/xlsx-edit/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/matingai/crab/xlsx-edit"><img src="https://agentmods.dev/badge/skills/matingai/crab/xlsx-edit.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00028 | $0.00446 |
| Opus 5.5 | $0.00011 | $0.00178 |
| Sonnet 5.5 | $0.00006 | $0.00089 |
| Haiku 4.5 | $0.00003 | $0.00045 |
Grade A, and why
xlsx-edit 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 1mo 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
XLSX Edit
Use this skill when the user wants to inspect, create, clean, or modify spreadsheet-style data in .xlsx files.
Default Workflow
- Call
office_inspectto confirm the file is.xlsx. - Call
office_previewfor a compact grid snapshot. - Call
office_extract_irif you need explicit sheet names, dimensions, and cell values. - Prefer
office_apply_opsfor deterministic data edits:add_sheet,remove_sheet,rename_sheet,set_cell,clear_cell,set_range,append_rows,clear_range. - Use
office_createfor simple new workbooks. - Save to a new output path unless overwrite is explicitly intended.
Escalate To A Python Script
Prefer write_file + execute_code with openpyxl when the task depends on workbook fidelity rather than plain data:
- preserving an existing template
- styles, fonts, fills, borders, widths, freezes, merges
- formulas, references, and multi-sheet models
- CSV or TSV ingestion before export
- repeated transformations across many sheets or files
When using a script:
- work on a copy of the workbook, not the only original
- use Excel formulas instead of hardcoding computed values
- preserve sheet names and structure unless the user asked to change them
- print a concise summary of created files, changed sheets, and key ranges
See XLSX.md for a script pattern.
What ships with it
1 file 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.
- 1mo ago First seen · 58 lines · 28 tokens per session scan A c9db87d9dabc
xlsx-edit is a skill published in the GitHub repository matingai/crab (4 stars, last pushed 4mo ago), licensed MIT. It adds 28 tokens to every session and 446 once invoked, about $0.0001 per session on Opus 5.5. 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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