knowledge-refresh SKILL.md skillA

knowledge-refresh from datawithbaraa/claude-code-data-engineering-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add datawithbaraa/claude-code-data-engineering-skills/knowledge-refresh@git:20261029.2e2b6c2

Pins git:20261029.2e2b6c2 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
datawithbaraa/claude-code-data-engineering-skills
Path
skills/knowledge-refresh/SKILL.md
Versions recorded
1
Latest version
git:20261029.2e2b6c2, committed Oct 29, 2026
Size
1,754 bytes
Repository stars
81
License
MIT

Use after a release, to compare the knowledge Claude Code reads, CLAUDE.md, the standards, the source pages and the incident log, with the code and the data, and propose what is stale, missing or wrong.

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

# Knowledge refresh

The job: keep the knowledge that Claude Code reads true to the project: CLAUDE.md and the knowledge folder. It proposes, and after the data engineer's yes it writes the approved changes. The runbook and the how-to guides belong to the docs skill.

Input: none, or the area to check.

## Steps

1. CLAUDE.md: every folder it names exists, every skill is listed, every path is right.
2. The standards against the code: naming, layers, code style.
3. The sources against the contracts and the files: one page per source, current.
4. The business: the glossary and the stakeholders against the documents.
5. The architecture and the core model against what is built.
6. The known issues and the incident log: what a run has proven since. The incident skill adds the entries, this skill checks them.
7. The decision log: what is decided, what is still open.
8. A document nobody has read yet: what it adds to the knowledge.
9. Keep it short: what repeats another file is cut and linked.
10. Report every finding as a proposal: the file, what it says, what is true.

## Output
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add datawithbaraa/claude-code-data-engineering-skills/knowledge-refresh@sha256:8829e66828927560

The line at the top of this page pins the label git:20261029.2e2b6c2, 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_6zcv2flhhqrmlvmk.svg)](https://markdownregistry.com/a/art_6zcv2flhhqrmlvmk)

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

Versions

The registry has recorded 1 version of this file, committed on Oct 29, 2026.

versioncommittedcommitsizeaudit
git:20261029.2e2b6c2 latest2026-10-29 2e2b6c2 1,754 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 (1754 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

datawithbaraa/claude-code-data-engineering-skills · 81 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_6zcv2flhhqrmlvmk
GET https://markdownregistry.com/api/v1/resolve?ref=datawithbaraa/claude-code-data-engineering-skills/knowledge-refresh
GET https://markdownregistry.com/api/v1/blob/8829e66828927560d0589db919c9fc5cba968b2f384f1eccd3539f893ae92c7f

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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Every file in datawithbaraa/claude-code-data-engineering-skills

Other files named knowledge-refresh

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git:20260912.6e06ed3 · audit A · 40 stars

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