eda-report

eda-report is a skill for Claude Code from kclemoveki/agentic-skills-eda. It costs 62 tokens per session (2,514 once invoked), scanned A, original, MIT.

A tool that turns an executed Jupyter notebook into a short Markdown report for non-technical readers. Exploratory data analysis, or EDA, is the process of examining a dataset to find patterns and problems.

In plain words
What is it for?
Use it after running and annotating an analysis notebook to produce a report with selected findings, supporting results, and links back to the notebook.
Why use it?
It extracts and prioritizes the main findings so managers and other stakeholders can understand the conclusions without reading the notebook's code.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths.

Good fit Use it after running and annotating an analysis notebook to produce a report with selected findings, supporting results, and links back to the notebook.

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Install with agentmods
npx agentmods add skills/kclemoveki/agentic-skills-eda/eda-report
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 kclemoveki/agentic-skills-eda --skill eda-report
Clone the repo
git clone --depth 1 https://github.com/kclemoveki/agentic-skills-eda

Made for: Claude Code.

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 eda-report

README.md
[![agentmods](https://agentmods.dev/badge/skills/kclemoveki/agentic-skills-eda/eda-report/github.svg)](https://agentmods.dev/skills/kclemoveki/agentic-skills-eda/eda-report)
Your own site
<a href="https://agentmods.dev/skills/kclemoveki/agentic-skills-eda/eda-report"><img src="https://agentmods.dev/badge/skills/kclemoveki/agentic-skills-eda/eda-report/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 eda-report

Your own site · 80×15
<a href="https://agentmods.dev/skills/kclemoveki/agentic-skills-eda/eda-report"><img src="https://agentmods.dev/badge/skills/kclemoveki/agentic-skills-eda/eda-report.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,514 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 $0.00062 $0.02514
Opus 5 $0.00031 $0.01257
Sonnet 5 $0.00012 $0.00503
Haiku 4.5 $0.00006 $0.00251

Measured 9d ago against content hash c16b3bc69c20, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

eda-report 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 9d 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/eda-report/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: EDA Report

Take the executed and annotated notebook at $ARGUMENTS and produce an executive markdown report at reports/eda_report_<dataset_stem>.md. The report is for non-technical stakeholders — managers, product owners, business leads — who need the conclusions without reading 50+ cells.

This skill closes the loop opened by /analyze-dataset (structure with placeholders), /execute-notebook (run the code) and /annotate-findings (write real observations). If the report comes before any of those three, fail with a clear hint.

Principle

A report is synthesis, not transcription. The notebook may have 30 observations across 9 sections; the report has 3-6 findings. The skill must select, rank, and rewrite — never just copy markdown cells verbatim.

Two non-negotiable rules:

  1. Every quantitative claim must trace back to a real cell output in the notebook. Never invent numbers (same rule as /annotate-findings).
  2. Zero code in the report body. Code lives in the notebook, which is linked from the Appendix.

Step 1 — Validate input

  1. Verify the notebook file exists and is readable.
  2. Verify it has been executed: at least one code cell with non-empty outputs and a non-null execution_count. If pristine, fail with: Notebook not executed. Run /execute-notebook first.
  3. Verify it has been annotated: NO markdown cell should contain the literal marker <!-- annotate-findings: pending -->. If markers remain, fail with: Notebook has unfilled placeholders. Run /annotate-findings first.

Step 2 — Extract content from the notebook

First, ensure the output directory tree exists. Create reports/ and reports/figures/ (relative to the current working directory) if they do not already exist. Use mkdir -p reports/figures via Bash or Path("reports/figures").mkdir(parents=True, exist_ok=True) in the Python script. This is a hard prerequisite for the rest of Step 2 — without these directories, the image extraction below fails silently.

Read the full file on GitHub · 135 lines

Files

What ships with it

1 file 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. 9d ago First seen · 135 lines · 62 tokens per session scan A c16b3bc69c20

Subscribe to this mod's changes

eda-report is a skill published in the GitHub repository kclemoveki/agentic-skills-eda (2 stars, last pushed 4mo ago), licensed MIT. It adds 62 tokens to every session and 2,514 once invoked, about $0.0003 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 2026-08-31.

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