Agent skill

CSV Processing

by benchflow-ai in benchflow-ai/skillsbench

A skill your agent uses when reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, or handling missing values in datasets.

Apache-2.0Auto-check passedData & Analytics

Install CSV Processing

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill csv-processing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench csv-processing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/adaptive-cruise-control/environment/skills/csv-processing .claude/skills/csv-processing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "csv-processing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/adaptive-cruise-control/environment/skills/csv-processing into .claude/skills/csv-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "csv-processing", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/benchflow-ai/skillsbench/tree/main/tasks/adaptive-cruise-control/environment/skills/csv-processing

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill csv-processing -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench csv-processing --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .agents/skills && cp -r skills-src/tasks/adaptive-cruise-control/environment/skills/csv-processing .agents/skills/csv-processing && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "csv-processing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/adaptive-cruise-control/environment/skills/csv-processing into .agents/skills/csv-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "csv-processing", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill csv-processing -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench csv-processing --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/tasks/adaptive-cruise-control/environment/skills/csv-processing .cursor/skills/csv-processing && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "csv-processing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/adaptive-cruise-control/environment/skills/csv-processing into .cursor/skills/csv-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "csv-processing", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/benchflow-ai/skillsbench.git --path tasks/adaptive-cruise-control/environment/skills/csv-processing

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill csv-processing -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench csv-processing --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/tasks/adaptive-cruise-control/environment/skills/csv-processing .gemini/skills/csv-processing && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "csv-processing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/adaptive-cruise-control/environment/skills/csv-processing into .gemini/skills/csv-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "csv-processing", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench csv-processing

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill csv-processing -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .github/skills && cp -r skills-src/tasks/adaptive-cruise-control/environment/skills/csv-processing .github/skills/csv-processing && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "csv-processing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/adaptive-cruise-control/environment/skills/csv-processing into .github/skills/csv-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "csv-processing", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add benchflow-ai/skillsbench --skill csv-processing -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install benchflow-ai/skillsbench csv-processing --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/tasks/adaptive-cruise-control/environment/skills/csv-processing .opencode/skills/csv-processing && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "csv-processing" agent skill from https://github.com/benchflow-ai/skillsbench/tree/main/tasks/adaptive-cruise-control/environment/skills/csv-processing into .opencode/skills/csv-processing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "csv-processing", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: csv-processing
GitHub stars: 1.8k
Token cost: ~455 tokens
SKILL.md length: 18 words
Files: 1
Skills in repo: 178
Repo updated: Jul 23, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

A skill your agent uses when reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, or handling missing values in datasets.

Reading sensor data from CSV files
SKILL.md covers Reading CSV, Handling Missing Values, Accessing Data and Writing CSV, plus 2 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
Writing simulation results to CSV

What it does

CSV Processing is an agent skill from benchflow-ai/skillsbench. Use this skill when reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, or handling missing values in datasets.

Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Data & Analytics, covering CSV and tabular files, Data cleaning and DataFrames. It works with pandas. The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.

When your agent uses it

Reading sensor data from CSV files
Writing simulation results to CSV
Processing time-series data with pandas
Handling missing values in datasets

Example prompts

“/csv-processing”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 9a1f4dd. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

CSV Processing loads about 455 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 18 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~47
When it runs · the whole SKILL.md, loaded when a task matches: ~455

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 18 words, ~455 tokens.

Download SKILL.mdSave it as .claude/skills/csv-processing/SKILL.md (or your agent's skills folder).

name: csv-processing
description: Use this skill when reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, or handling missing values in datasets.

CSV Processing with Pandas

Reading CSV

python

import pandas as pd

df = pd.read_csv('data.csv')

# View structure
print(df.head())
print(df.columns.tolist())
print(len(df))

Handling Missing Values

python

# Read with explicit NA handling
df = pd.read_csv('data.csv', na_values=['', 'NA', 'null'])

# Check for missing values
print(df.isnull().sum())

# Check if specific value is NaN
if pd.isna(row['column']):
    # Handle missing value

Accessing Data

python

# Single column
values = df['column_name']

# Multiple columns
subset = df[['col1', 'col2']]

# Filter rows
filtered = df[df['column'] > 10]
filtered = df[(df['time'] >= 30) & (df['time'] < 60)]

# Rows where column is not null
valid = df[df['column'].notna()]

Writing CSV

python

import pandas as pd

# From dictionary
data = {
    'time': [0.0, 0.1, 0.2],
    'value': [1.0, 2.0, 3.0],
    'label': ['a', 'b', 'c']
}
df = pd.DataFrame(data)
df.to_csv('output.csv', index=False)

Building Results Incrementally

python

results = []

for item in items:
    row = {
        'time': item.time,
        'value': item.value,
        'status': item.status if item.valid else None
    }
    results.append(row)

df = pd.DataFrame(results)
df.to_csv('results.csv', index=False)

Common Operations

python

# Statistics
mean_val = df['column'].mean()
max_val = df['column'].max()
min_val = df['column'].min()
std_val = df['column'].std()

# Add computed column
df['diff'] = df['col1'] - df['col2']

# Iterate rows
for index, row in df.iterrows():
    process(row['col1'], row['col2'])

Files

Just SKILL.md in tasks/adaptive-cruise-control/environment/skills/csv-processing of benchflow-ai/skillsbench.

Open the folder on GitHubat commit 9a1f4dd

Compare with similar skills

CSV Processing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

CSV Processing compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
CSV Processing this skillbenchflow-ai/skillsbench	1.8k	—	~455	Automated safety check: Pass	Apache-2.0	2 mo ago
Verified Data Analysis with pandaspipeshub-ai/pipeshub-ai	3.8k	—	~1.2k	Automated safety check: Pass	Apache-2.0	today
CSV and Excel MergerOneWave-AI/claude-skills	323	—	~1.6k	Automated safety check: Pass	MIT	6 days ago
Data Table AnalysisNVIDIA-AI-Blueprints/deep-researcher-agent	883	—	~2.5k	Automated safety check: Pass	Apache-2.0	2 days ago
CSV Data Summarizercoffeefuelbump/csv-data-summarizer-claude-skill	468	2 repos	~1.4k	Automated safety check: Pass	None	11 mo ago
Data Cleaningericrisco/rsc-harness	167	—	~3.6k	Automated safety check: Pass	MIT	today

Similar skills

Verified Data Analysis with pandas
pipeshub-ai/pipeshub-ai
Loads, cleans, aggregates and joins tabular data with pandas under a verification rule: every number reported must be one that the code actually printed.
3.8k GitHub stars~1.2k tokensUpdated today
Data & AnalyticsAuto-check passed
CSV and Excel Merger
OneWave-AI/claude-skills
Combines CSV, TSV and Excel files into one verified table with pandas, by stacking or joining, mapping columns, normalizing keys and removing duplicates.
323 GitHub stars~1.6k tokensUpdated 6 days ago
Documents & OfficeAuto-check passed
Data Table Analysis
NVIDIA-AI-Blueprints/deep-researcher-agent
A skill your agent uses for converting researched facts or user-provided data into structured tables by writing code, then running Python/pandas calculations in the job-scoped sandbox.
883 GitHub stars~2.5k tokensUpdated 2 days ago
Data & AnalyticsAuto-check passed
CSV Data Summarizer
coffeefuelbump/csv-data-summarizer-claude-skill
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
468 GitHub starsUsed in 2 repos~1.4k tokens
Data & AnalyticsAuto-check passed
Data Cleaning
ericrisco/rsc-harness
A skill your agent uses when a raw table is too dirty to trust — nulls, sentinels, duplicate rows, category sprawl, mixed types, bad dates — and you need a re-runnable clean() plus a schema gate…
167 GitHub stars~3.6k tokensUpdated today
Data & AnalyticsAuto-check passed
Minerals Data
lamm-mit/scienceclaw
Query and analyze structured CSV datasets on critical minerals production, trade, and supply chains
244 GitHub stars~730 tokensUpdated 1 mo ago
Data & AnalyticsAuto-check passed

Questions about CSV Processing

What does CSV Processing do?

A skill your agent uses when reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, or handling missing values in datasets. CSV Processing is an agent skill from benchflow-ai/skillsbench. Use this skill when reading sensor data from CSV files, writing simulation results to CSV, processing time-series data with pandas, or handling missing values in datasets.

When should I use CSV Processing?

CSV Processing fits situations like: reading sensor data from CSV files; writing simulation results to CSV; processing time-series data with pandas; handling missing values in datasets.

How do I install CSV Processing in Claude Code?

Run `npx skills add benchflow-ai/skillsbench --skill csv-processing -a claude-code`. Or copy the skill folder (tasks/adaptive-cruise-control/environment/skills/csv-processing in benchflow-ai/skillsbench) into .claude/skills/csv-processing in your project. Claude Code loads it when a task matches its description.

How do I install CSV Processing in Codex?

Run `npx skills add benchflow-ai/skillsbench --skill csv-processing -a codex`. Or copy the skill folder (tasks/adaptive-cruise-control/environment/skills/csv-processing in benchflow-ai/skillsbench) into .agents/skills/csv-processing in your project. Codex loads it when a task matches its description.

Can I use CSV Processing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add benchflow-ai/skillsbench --skill csv-processing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/csv-processing, .gemini/skills/csv-processing, .github/skills/csv-processing and .opencode/skills/csv-processing in your project.

What does CSV Processing need to run?

SKILL.md names no scripts, command-line tools or credentials: CSV Processing is instructions for the agent only. Our summary lists: Python 3.

Does CSV Processing access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is CSV Processing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does CSV Processing use?

CSV Processing is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does CSV Processing use?

About 455 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to CSV Processing?

Skills that share tags, products or a category with CSV Processing: Verified Data Analysis with pandas (pipeshub-ai/pipeshub-ai, 3.8k stars), CSV and Excel Merger (OneWave-AI/claude-skills, 323 stars), Data Table Analysis (NVIDIA-AI-Blueprints/deep-researcher-agent, 883 stars) and CSV Data Summarizer (coffeefuelbump/csv-data-summarizer-claude-skill, 468 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains CSV Processing?

benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,832 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on July 23, 2026.

Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

CSV Processing

Install CSV Processing

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

CSV Processing with Pandas

Reading CSV

Handling Missing Values

Accessing Data

Writing CSV

Building Results Incrementally

Common Operations

Files

Compare with similar skills

Similar skills

Verified Data Analysis with pandas

CSV and Excel Merger

Data Table Analysis

CSV Data Summarizer

Data Cleaning

Minerals Data

More from benchflow-ai/skillsbench

Lean4 Memories

Senior Data Engineer

Ac Branch Pi Model

Civ6lib

D3 Visualization

Dc Power Flow

Questions about CSV Processing

Install CSV Processing

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

CSV Processing with Pandas

Reading CSV

Handling Missing Values

Accessing Data

Writing CSV

Building Results Incrementally

Common Operations

Files

Compare with similar skills

Similar skills

More from benchflow-ai/skillsbench

Related

Questions about CSV Processing