SDK AI Bot Eval Dataset

What it does

When your agent uses it

• : running evaluations
• Pipeline troubleshooting
• Knowledge-graph indexing

Example prompts

• “add eval dataset item”
• “add a test case”
• “new evaluation dataset”
• “/sdk-ai-bot-eval-dataset”

Requirements

• Python 3
• Compatibility (from SKILL.md): local azure-sdk-tools clone, python 3.12 venv, az login

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

1. 1Pick a workflow from the table above (manual add, curate from blob, or new dataset).
2. 2Add or stage canonical rows in evaluation_datasets//.jsonl.
3. 3For staged cases, promote the reviewed ones with python -m dataset.review.
4. 4Validate the file with python -m dataset.validate ... --require-reviewed.
5. 5Publish with python -m dataset.upload, then commit the per-scenario file,

What it can do on your machine

Read from SKILL.md and the folder at commit cc5ca24. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • python
  • az

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md. Its commands use az, which can reach the network depending on how they are called.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  local azure-sdk-tools clone, python 3.12 venv, az login

  From compatibility in the SKILL.md frontmatter.

Context cost

SDK AI Bot Eval Dataset loads about 1.4k tokens when it runs, and up to ~2.5k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 439 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~107

When it runs · the whole SKILL.md, loaded when a task matches

~1.4k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~2.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

• NoteMentions a .env fileSKILL.md:38

  figure them. Dataset prep loads a local `.env` (copy and fill

• NoteMentions a .env fileSKILL.md:49

  `.env` or the shell and re-run. A purely **manual add** (edit JSONL + validate) needs no

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Azure/azure-sdk-tools at commit cc5ca24, republished under its MIT licence (© Azure). 439 words, ~1,393 tokens.

name

sdk-ai-bot-eval-dataset

description

Create a new evaluation dataset or add cases to an existing one for the Azure SDK QA bot evaluation. WHEN: "add eval dataset item", "add a test case", "new evaluation dataset", "create dataset", "add question to dataset", "curate eval data", "promote staging cases", "upload dataset asset", "new scenario dataset". DO NOT USE FOR: running evaluations, pipeline troubleshooting, knowledge-graph indexing.

compatibility

local azure-sdk-tools clone, python 3.12 venv, az login

license

MIT

metadata.version

1.0.0

metadata.distribution

local

# Validate a file or folder (--require-reviewed gates official datasets on reviewed=="pass")
python -m dataset.validate evaluation_datasets/<target>/<scenario>.jsonl --require-reviewed

# Promote reviewed (pass) staging rows; leftover items are finalized to abandoned
python -m dataset.review --target <basic|perf> [--scenario <scenario>]

# Upload one versioned Foundry asset per scenario; writes registry.json
python -m dataset.upload --target <basic|perf> [--scenario <scenario>]

© Azure, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in .github/skills/sdk-ai-bot-eval-dataset of Azure/azure-sdk-tools.

• SKILL.md
• references/dataset-schema-and-workflows.md

Open the folder on GitHubat commit cc5ca24