famou-data-analysis SKILL.md skillA

famou-data-analysis from baidubce/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add baidubce/skills/famou-data-analysis@v2.0

Pins v2.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
baidubce/skills
Path
skills/famou-data-analysis/SKILL.md
Versions recorded
2
Latest version
v2.0, committed May 12, 2026
First version recorded
Mar 16, 2026
Size
8,196 bytes
Repository stars
32
License
Apache-2.0

A data analysis skill for understanding datasets, analyzing data, building data processing pipelines, and summarizing analytical results. Use this skill when the user mentions "analyze data", "data processing", "data exploration", "statistical analysis", "data cleaning", "data summarization", "create a data report", "understand this dataset", or "take a look at this CSV/Excel/dataset". Even if the user simply says "help me look at this data" or "analyze this", trigger this skill whenever the…

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

## Analysis Goals

The core objectives of a data analysis task are:

1. **Understand the data**: Clarify what the data is, where it comes from, and what business meaning it carries — not just read the file
2. **Assess data quality**: Identify missing values, duplicates, anomalies, and formatting inconsistencies; evaluate data trustworthiness
3. **Discover patterns and insights**: Use statistics and exploration to surface meaningful patterns, trends, anomalies, and correlations
4. **Design a processing pipeline**: Based on the actual data issues, design a reproducible and well-reasoned cleaning and transformation plan
5. **Summarize findings**: Deliver conclusions in clear, business-relevant language — not just a pile of statistics

---

## Constraints

**Always follow these constraints throughout the analysis:**

- **Do not modify raw data without permission**: Always inform the user and explain the reason before performing any cleaning or transformation
- **Do not over-assume data meaning**: When column names are unclear, ask the user for clarification rather than guessing
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add baidubce/skills/famou-data-analysis@sha256:edfb05d9845d2b84

The line at the top of this page pins the label v2.0, 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_yvoo3rxmzkcku5nl.svg)](https://markdownregistry.com/a/art_yvoo3rxmzkcku5nl)

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

Versions

The registry has recorded 2 versions of this file, between Mar 16, 2026 and May 12, 2026, about one every 57 days.

versioncommittedcommitsizeaudit
v2.0 latest2026-05-12 79ee714 8,196 BA view · diff
git:20260316.72e246e2026-03-16 72e246e 6,782 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 (8196 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

baidubce/skills · 32 stars · license Apache-2.0 · pushed 2026-10-27 · branch develop

API

GET https://markdownregistry.com/api/v1/artifacts/art_yvoo3rxmzkcku5nl
GET https://markdownregistry.com/api/v1/resolve?ref=baidubce/skills/famou-data-analysis
GET https://markdownregistry.com/api/v1/blob/edfb05d9845d2b848eff62e3fa0d556a5de1c2210439bf5154ff376df6cc3545

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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