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data-analysis

data-analysis is a skill for Claude Code, Codex from Zaoqu-Liu/ScienceClaw. It costs 16 tokens per session (867 once invoked), scanned A, original, MIT.

A workflow for loading datasets from common file formats, exploring them with pandas, and viewing the results in tables or charts.

In plain words
What is it for?
It helps work with CSV, Excel, JSON, and Parquet files, run data queries, save changed datasets, and create visualisations.
Why use it?
It helps inspect, filter, transform, summarise, and save tabular data without manually writing a separate data-processing setup.

Skill for Claude CodeCodex

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

not rated 60repo 5mo ago A scan 16 tokens original MIT

Good fit It helps work with CSV, Excel, JSON, and Parquet files, run data queries, save changed datasets, and create visualisations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/zaoqu-liu/scienceclaw/prismer-data-analysis
View source ↗ Zaoqu-Liu/ScienceClaw
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 Zaoqu-Liu/ScienceClaw --skill prismer-data-analysis
Clone the repo
git clone --depth 1 https://github.com/Zaoqu-Liu/ScienceClaw

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-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/prismer-data-analysis/github.svg)](https://agentmods.dev/skills/zaoqu-liu/scienceclaw/prismer-data-analysis)
Your own site
<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/prismer-data-analysis"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/prismer-data-analysis/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 data-analysis

Your own site · 80×15
<a href="https://agentmods.dev/skills/zaoqu-liu/scienceclaw/prismer-data-analysis"><img src="https://agentmods.dev/badge/skills/zaoqu-liu/scienceclaw/prismer-data-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 867 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 $0.00016 $0.00867
Opus 5 $0.00008 $0.00434
Sonnet 5 $0.00003 $0.00173
Haiku 4.5 $0.00002 $0.00087

Measured 8d ago against content hash dddaf6e5bd74, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

data-analysis 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/prismer-data-analysis/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Data Analysis Skill

Description

Load data files (CSV, XLSX, JSON, Parquet) into the AG Grid viewer, run pandas queries, save results, and generate visualizations.

Tools Used

Primary (Data Grid workflow)

  • data_list - List available data files in /workspace/data/
  • data_load - Load a data file into AG Grid (returns markdown preview for context)
  • data_query - Execute pandas operations on loaded data (filter, aggregate, transform)
  • data_save - Save the current DataFrame to a file

Secondary (Jupyter workflow for visualization)

  • jupyter_execute - Execute Python code in Jupyter kernel (for plots and complex analysis)
  • update_notebook - Add cells to Jupyter notebook
  • update_gallery - Display generated plots in the gallery

Workflow

Recommended: Data Grid Workflow

For tabular data exploration, use the data tools which provide a spreadsheet-like experience:

  1. List files: data_list to see what's in /workspace/data/
  2. Load data: data_load to read a file and display in AG Grid
    • You'll receive a markdown preview to understand columns and types
  3. Query/Filter: data_query to run pandas operations
    • The df variable contains the loaded data
    • Set result = ... to define output
  4. Save results: data_save to export to CSV/XLSX

Alternative: Jupyter Workflow

For visualization, statistical analysis, or ML, use Jupyter tools:

  1. Load data with jupyter_execute running pandas code
  2. Create visualizations with matplotlib/seaborn
  3. Display plots with update_gallery

Usage Patterns

Load and Explore Data

When user says: "Analyze this dataset" or "Show me the data"

  1. data_list to find available files
  2. data_load with the target file
  3. Review the markdown preview to understand structure
  4. data_query with result = df.describe() for statistics
  5. Offer filtering, sorting, or visualization

Filter and Transform

When user says: "Show only rows where X > Y" or "Group by category"

  1. data_query with pandas filter/groupby code
  2. Grid updates automatically with filtered results
  3. Inform user of result count and preview

Read the full file on GitHub · 110 lines

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 · 110 lines · 16 tokens per session scan A dddaf6e5bd74

Subscribe to this mod's changes

data-analysis is a skill published in the GitHub repository Zaoqu-Liu/ScienceClaw (60 stars, last pushed 5mo ago), licensed MIT. It adds 16 tokens to every session and 867 once invoked, about $0.0001 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 2026-09-03.

Analytics and metricsData and AI
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