mcpbeat

Ingestion Validation

azure/ingestion-validation

Selects and runs evidence-based validation for Python ingestion, chunking, jobs, Azure AI Search contracts, deployment assets, and the operator frontend. Use whenever repository behavior or engineering assets change.

409 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
186
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/Azure/gpt-rag-ingestion --skill ingestion-validation

The instruction itself

5 sections, as written by the author

Ingestion validation

Start with the narrowest existing command that covers the change.

Engineering-agent assets

python -m pip install --requirement .github/scripts/requirements.txt
python .github/scripts/validate-agentic-assets.py

Python

Run focused tests first:

python -m pytest tests/<affected_test>.py

Then run the maintained suite when risk or repository policy requires it:

python -m pytest

Do not require live Azure credentials for unit tests. Reuse existing fakes,

stubs, and golden fixtures.

Frontend

From frontend/, use the scripts defined in package.json:

npm test
npm run lint
npm run build

Runtime integration

For changes to formats, sources, jobs, embedding, Search payloads, or

deployment:

  • Build and run the existing container or use the applicable

scripts/deploy.ps1 or scripts/deploy.sh path.

  • Exercise a representative source and document.
  • Verify the terminal job result and expected Azure AI Search documents,

fields, ACL metadata, and deletion behavior.

  • Inspect logs and correlated audit events without copying document content,

credentials, or private environment names into public artifacts.

If a command is unavailable or live validation is unsafe, report the missing

dependency and residual risk. Do not substitute an unrelated passing check.

How to use it

Copy the folder

Take azure/ingestion-validation from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference pip. Without those the skill loads but fails at the first command.