csv-data-analyzer

csv-data-analyzer is a skill for Claude Code, Codex from KirKruglov/claude-skills-kit. It costs 132 tokens per session (1,615 once invoked), scanned A, original, MIT.

A conversation-based tool for understanding business data in CSV files. CSV is a plain text format commonly used for spreadsheet exports such as sales, survey, task, or customer records.

In plain words
What is it for?
It profiles a CSV's structure, asks about the analysis goal, and returns numbered findings, a data snapshot, and a plain-language explanation.
Why use it?
It lets non-technical users explore a dataset without writing code or formulas, while clarifying what they want to learn before producing results.

Skill for Claude CodeCodex

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

Good fit It profiles a CSV's structure, asks about the analysis goal, and returns numbered findings, a data snapshot, and a plain-language explanation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kirkruglov/claude-skills-kit/csv-data-analyzer
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 KirKruglov/claude-skills-kit --skill csv-data-analyzer
Clone the repo
git clone --depth 1 https://github.com/KirKruglov/claude-skills-kit

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 csv-data-analyzer

README.md
[![agentmods](https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/csv-data-analyzer.svg)](https://agentmods.dev/skills/kirkruglov/claude-skills-kit/csv-data-analyzer)
Your own site
<a href="https://agentmods.dev/skills/kirkruglov/claude-skills-kit/csv-data-analyzer"><img src="https://agentmods.dev/badge/skills/kirkruglov/claude-skills-kit/csv-data-analyzer.svg" alt="Measured on agentmods" height="20"></a>
Per session 132 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,615 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 $0.00132 $0.01615
Opus 5 $0.00066 $0.00807
Sonnet 5 $0.00026 $0.00323
Haiku 4.5 $0.00013 $0.00161

Measured 8d ago against content hash 78987651393c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

csv-data-analyzer 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 8d 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.

skills/data-analysis/csv-data-analyzer/SKILL.md · 133 lines

How it starts

The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CSV Data Analyzer

This skill analyzes CSV files with business data for non-technical users through a conversational question flow — without code, formulas, or external tools. Claude reads the CSV directly, profiles its structure, asks one clarifying question about your goal, and delivers numbered insights with a plain-language interpretation.

Input:

  • A CSV file accessible in the Cowork workspace (uploaded or in the selected folder)

Output:

  • Markdown response with: dataset profile, numbered key insights, data snapshot table, plain-language interpretation, and follow-up suggestions

Language Detection

Detect the user's language from their message:

  • If Russian (or contains Cyrillic): respond in Russian
  • If English (or other Latin-script language): respond in English
  • If ambiguous: respond in the language of the trigger phrase used

Instructions

Step 1: Locate and Read the CSV File

  1. Identify the CSV file from the user's message

    • If a file path or filename is provided: use it directly
    • If no path given: look for a CSV file in the Cowork workspace folder
    • If no CSV file found: stop and report — "I don't see a CSV file. Please upload the file or confirm it's in your selected Cowork folder, then try again."
  2. Read the file content as plain text

    • If the file cannot be parsed as CSV (binary, corrupted, wrong format): stop and report — "This file doesn't appear to be a valid CSV. Please check the file format and try again."

Step 2: Profile the Dataset

  1. Count rows and columns (exclude the header row from row count)

    • If only 1 row exists (header only, no data): stop and report — "This CSV has no data rows — only headers. Please check the file and try again with a populated dataset."
  2. Identify column names from the first row

    • If no header row detected (all rows look like data rows): assign generic names Column 1, Column 2, … and note: "I couldn't detect column headers — I'll use generic names."
  3. Infer data type for each column: numeric, text, date, or boolean

    • If a column contains mixed types (numbers and text): note the inconsistency; treat column as text; recommend cleaning before numeric analysis

Read the full file on GitHub · 133 lines

Files

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.

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. 8d ago First seen · 133 lines · 132 tokens per session scan A 78987651393c

Subscribe to this mod's changes

csv-data-analyzer is a skill published in the GitHub repository KirKruglov/claude-skills-kit (18 stars, last pushed 1mo ago), licensed MIT. It adds 132 tokens to every session and 1,615 once invoked, about $0.0007 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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