data-analysis SKILL.md skillA

data-analysis from 0xranx/golembot is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add 0xranx/golembot/data-analysis@git:20260323.56eefc2

Pins git:20260323.56eefc2 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
0xranx/golembot
Path
templates/data-analyst/skills/data-analysis/SKILL.md
Versions recorded
2
Latest version
git:20260323.56eefc2, committed Mar 23, 2026
First version recorded
Mar 1, 2026
Size
3,152 bytes
Repository stars
322
License
MIT

Loads CSV, Excel, and JSON data files, performs statistical analysis, and generates charts and reports. Use when the user asks to analyze a dataset, compute statistics, create visualizations, find trends, or produce a data report.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Data Analysis Skill

Process data files in the `data/` directory, perform analysis, and output reports to `reports/`.

## Step-by-Step Workflow

1. **Identify the data source** — List available files and confirm with the user which to analyze:

```bash
ls data/
```

2. **Load and inspect the data** — Use Python to read the file and show a summary:

```python
import pandas as pd

df = pd.read_csv("data/sales.csv")  # or read_excel / read_json
print(f"Shape: {df.shape}")
print(f"Columns: {list(df.columns)}")
print(df.dtypes)
print(df.describe())
print(f"Missing values:\n{df.isnull().sum()}")
```

3. **Clean the data** — Handle missing values, fix types, remove duplicates:

```python
df = df.drop_duplicates()
df["date"] = pd.to_datetime(df["date"], errors="coerce")
df["amount"] = pd.to_numeric(df["amount"], errors="coerce")
df = df.dropna(subset=["date", "amount"])
print(f"Clean shape: {df.shape}")
```

4. **Analyze** — Compute the requested statistics or aggregations:

```python
# Example: monthly revenue trend
monthly = df.groupby(df["date"].dt.to_period("M"))["amount"].sum()
print(monthly)

# Example: correlation matrix
print(df[["amount", "quantity", "discount"]].corr())
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add 0xranx/golembot/data-analysis@sha256:61d8800be549bad5

The line at the top of this page pins the label git:20260323.56eefc2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_oorousohqw7v74rl.svg)](https://markdownregistry.com/a/art_oorousohqw7v74rl)

6 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Mar 1, 2026 and Mar 23, 2026, about one every 22 days.

versioncommittedcommitsizeaudit
git:20260323.56eefc2 latest2026-03-23 56eefc2 3,152 BA view · diff
git:20260301.8014ac42026-03-01 8014ac4 1,139 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (3152 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

0xranx/golembot · 322 stars · license MIT · pushed 2026-09-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_oorousohqw7v74rl
GET https://markdownregistry.com/api/v1/resolve?ref=0xranx/golembot/data-analysis
GET https://markdownregistry.com/api/v1/blob/61d8800be549bad5745c4943882407466e75590c70c266b40051baf58a9653c1

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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