data_split_by_field

data_split_by_field is a skill for Claude Code, Codex from cas-bigdatalab/piflow. It costs 124 tokens per session (881 once invoked), scanned A, original, no licence file.

A tool that splits a structured data table into separate files based on one field. Each unique value in that field gets its own output file.

In plain words
What is it for?
Use it to export records by customer, region, status, category, or another column value.
Why use it?
It removes the need to manually filter and export one category or group at a time.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is - ./output/split_cat1.csv (200 rows).

Good fit Use it to export records by customer, region, status, category, or another column value.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/cas-bigdatalab/piflow
agentmods
npx agentmods add skills/cas-bigdatalab/piflow/data_split_by_field

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 data_split_by_field

README.md
[![agentmods](https://agentmods.dev/badge/skills/cas-bigdatalab/piflow/data_split_by_field.svg)](https://agentmods.dev/skills/cas-bigdatalab/piflow/data_split_by_field)
Your own site
<a href="https://agentmods.dev/skills/cas-bigdatalab/piflow/data_split_by_field"><img src="https://agentmods.dev/badge/skills/cas-bigdatalab/piflow/data_split_by_field.svg" alt="Measured on agentmods" height="20"></a>
Per session 124 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 881 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 unknown 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 $0.00124 $0.00881
Opus 5 $0.00062 $0.00441
Sonnet 5 $0.00025 $0.00176
Haiku 4.5 $0.00012 $0.00088

Measured 8d ago against content hash 9538099eb0f5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

data_split_by_field 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.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/run_data_split_by_field.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.

workspace/skills/data_split_by_field/SKILL.md · 116 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

3 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 · 116 lines · 124 tokens per session scan A 9538099eb0f5

Subscribe to this mod's changes

data_split_by_field is a skill published in the GitHub repository cas-bigdatalab/piflow (539 stars, last pushed today), with no licence file. It adds 124 tokens to every session and 881 once invoked, about $0.0006 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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