text-to-excel

text-to-excel is a skill for Claude Code, Codex from yipng05-max/-skills. It costs 224 tokens per session (1,083 once invoked), scanned A, original, MIT.

A tool that turns structured text—such as CSV, JSON, lists, or Markdown tables—into Excel spreadsheet files. It can organize the data into sheets and apply requested spreadsheet formatting.

In plain words
What is it for?
Use it to create .xlsx files from structured data, build multiple sheets, format tables, freeze headings, add filters, apply validation or conditional formatting, and make charts.
Why use it?
It removes the manual work of copying text into a spreadsheet, identifying columns, and setting up common table features.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to create .xlsx files from structured data, build multiple sheets, format tables, freeze headings, add filters, apply validation or conditional formatting, and make charts.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/yipng05-max/-skills/text-to-excel
Install

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.

Any agent
npx skills add yipng05-max/-skills --skill text-to-excel
Clone the repo
git clone --depth 1 https://github.com/yipng05-max/-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for text-to-excel

README.md
[![agentmods](https://agentmods.dev/badge/skills/yipng05-max/-skills/text-to-excel/github.svg)](https://agentmods.dev/skills/yipng05-max/-skills/text-to-excel)
Your own site
<a href="https://agentmods.dev/skills/yipng05-max/-skills/text-to-excel"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/text-to-excel/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.

agentmods 80×15 button for text-to-excel

Your own site · 80×15
<a href="https://agentmods.dev/skills/yipng05-max/-skills/text-to-excel"><img src="https://agentmods.dev/badge/skills/yipng05-max/-skills/text-to-excel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 224 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,083 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00224 $0.01083
Opus 5 $0.00112 $0.00541
Sonnet 5 $0.00045 $0.00217
Haiku 4.5 $0.00022 $0.00108

Measured 10d ago against content hash f55338121fa8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

text-to-excel 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 10d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/generate_excel.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

text-to-excel/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Text-to-Excel

将结构化文本转换为格式规整的Excel文件。

Workflow

Step 1: Parse User Input

Analyze user-provided structured text. Supported input formats:

  • Markdown tables (| col1 | col2 |)
  • Plaintext tables (tab/space-separated)
  • CSV/TSV data
  • Lists (bulleted, numbered)
  • Key-value pairs
  • JSON/dict-like structures
  • Free-form text with identifiable tabular structure
  • Descriptions of desired table content

Identify: headers, data rows, data types per column, and any special formatting requests.

Step 2: Ask for Output Path

Ask the user for the save path. Suggest a reasonable default filename based on the content (e.g. ~/Desktop/sales_data.xlsx).

Step 3: Build JSON Config

Construct a JSON config object following the schema in references/config_schema.md.

Minimal example:

{
  "sheets": [{
    "name": "Sheet1",
    "headers": ["Name", "Age", "City"],
    "data": [
      ["Alice", 30, "Beijing"],
      ["Bob", 25, "Shanghai"]
    ]
  }]
}

Full-featured example with styles, charts, and validation:

{
  "sheets": [{
    "name": "Sales",
    "title_row": {"text": "Q1 Sales Report", "style": {"font": {"bold": true, "size": 16}}},
    "headers": ["Month", "Revenue", "Growth"],
    "data": [
      ["January", 50000, 0.12],
      ["February", 62000, 0.24],
      ["March", 58000, 0.16]
    ],
    "column_types": ["text", "currency_cny", "percent"],
    "freeze_pane": "A2",
    "auto_filter": true,
    "charts": [{
      "type": "bar",
      "title": "Monthly Revenue",
      "x_column": 1,
      "y_columns": [2],
      "position": "E2"
    }],
    "conditional_formats": [{
      "type": "color_scale",
      "range": "B2:B4"
    }]
  }]
}

Step 4: Generate Excel

  1. Write the JSON config to a temp file
  2. Run: python3 scripts/generate_excel.py <config.json> <output_path>
  3. Verify the file was created
  4. Report success with the file path

Style Defaults

The script applies professional defaults automatically:

  • Headers: Blue background (#4472C4), white bold text, centered
  • Data rows: Alternating gray/white bands, thin borders
  • Column widths: Auto-calculated based on content length
  • Title row (optional): Large bold text, merged across all columns

Read the full file on GitHub · 108 lines

Files

What ships with it

2 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.

Changes

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.

  1. 10d ago First seen · 108 lines · 224 tokens per session scan A f55338121fa8

Subscribe to this mod's changes

text-to-excel is a skill published in the GitHub repository yipng05-max/-skills (285 stars, last pushed 4mo ago), licensed MIT. It adds 224 tokens to every session and 1,083 once invoked, about $0.0011 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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