Databricks Mlflow Evaluation
databricks/databricks-agent-skills
MLflow 3 GenAI agent evaluation. An agent skill from databricks/databricks-agent-skills.
Testing framework for evaluating Databricks skills. An agent skill from databricks-solutions/ai-dev-kit.
Install Skill Test
$ npx skills add databricks-solutions/ai-dev-kit --skill skill-test -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks-solutions/ai-dev-kit skill-test --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.test .claude/skills/skill-test && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "skill-test" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test into .claude/skills/skill-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-test", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/databricks-solutions/ai-dev-kit/tree/main/.testType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add databricks-solutions/ai-dev-kit --skill skill-test -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks-solutions/ai-dev-kit skill-test --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.test .agents/skills/skill-test && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-test" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test into .agents/skills/skill-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-test", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add databricks-solutions/ai-dev-kit --skill skill-test -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks-solutions/ai-dev-kit skill-test --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.test .cursor/skills/skill-test && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "skill-test" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test into .cursor/skills/skill-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-test", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/databricks-solutions/ai-dev-kit.git --path .test--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add databricks-solutions/ai-dev-kit --skill skill-test -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks-solutions/ai-dev-kit skill-test --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.test .gemini/skills/skill-test && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "skill-test" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test into .gemini/skills/skill-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-test", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install databricks-solutions/ai-dev-kit skill-testInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add databricks-solutions/ai-dev-kit --skill skill-test -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .github/skills && cp -r skills-src/.test .github/skills/skill-test && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "skill-test" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test into .github/skills/skill-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-test", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add databricks-solutions/ai-dev-kit --skill skill-test -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install databricks-solutions/ai-dev-kit skill-test --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/databricks-solutions/ai-dev-kit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.test .opencode/skills/skill-test && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "skill-test" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test into .opencode/skills/skill-test/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-test", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
skill-test- GitHub stars
- 1.9k
- Token cost
- ~1.9k tokens
- SKILL.md length
- 487 words
- Files
- 201 (incl. scripts, references)
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Testing framework for evaluating Databricks skills. An agent skill from databricks-solutions/ai-dev-kit.
- Works in 4 steps: Read the skill's SKILL.md to understand… → Create manifest.yaml with appropriate… → Create empty ground_truth.yaml and… → …
- Building test cases for skills
- SKILL.md covers Quick References, /skill-test Command, Execution Instructions and Command Handler, plus 3 more sections
- Calls uv
What it does
Skill Test is an agent skill from databricks-solutions/ai-dev-kit. Testing framework for evaluating Databricks skills. Use when building test cases for skills, running skill evaluations, comparing skill versions, or creating ground truth datasets with the Generate-Review-Promote (GRP) pipeline. Triggers include "test skill", "evaluate skill", "skill regression", "ground truth", "GRP pipeline", "skill quality", and "skill metrics".
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 209 other files, including scripts and reference files (for example `CUSTOMIZATION_GUIDE.md`, `README.md` and `TECHNICAL.md`).
It sits in Testing & QA, covering Test generation and Agent evaluation and testing. It works with Databricks and MLflow. The repository describes itself as: Databricks Toolkit for Coding Agents provided by Field Engineering.
When your agent uses it
- Building test cases for skills
- Running skill evaluations
- Comparing skill versions
- Creating ground truth datasets with the Generate-Review-Promote (GRP) pipeline
Example prompts
- “test skill”
- “evaluate skill”
- “skill regression”
- “/skill-test”
Requirements
- Python 3
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Read the skill's SKILL.md to understand its purpose
- Create manifest.yaml with appropriate scorers and trace_expectations
- Create empty ground_truth.yaml and candidates.yaml templates
- Recommend test prompts based on documentation examples
What it can do on your machine
Read from SKILL.md and the folder at commit b059fd0. 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
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
uv
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use uv, 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.
Context cost
Skill Test loads about 1.9k tokens when it runs, and up to ~8.3k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 487 words of instructions outside code blocks.
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
Auto-check passed
The automated check found no risky patterns in SKILL.md.
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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 487 words (~1,938 tokens).
“Offline YAML-first evaluation with human-in-the-loop review and interactive skill improvement.”
- name
- skill-test
- command
- skill-test
- arguments
- [skill-name] [subcommand]
Files
SKILL.md and 200 other files (scripts, references) in .test of databricks-solutions/ai-dev-kit.
- SKILL.md
- CUSTOMIZATION_GUIDE.md
- README.md
- TECHNICAL.md
- baselines/databricks-agent-bricks/baseline.yaml
- baselines/databricks-aibi-dashboards/baseline.yaml
- baselines/databricks-apps-python/baseline.yaml
- baselines/databricks-bundles/baseline.yaml
- baselines/databricks-genie/baseline.yaml
- baselines/databricks-model-serving/baseline.yaml
- baselines/databricks-python-sdk/baseline.yaml
- baselines/databricks-spark-declarative-pipelines/baseline.yaml
- … and 189 more
Open the folder on GitHubat commit b059fd0
Compare with similar skills
Skill Test next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Skill Test this skilldatabricks-solutions/ai-dev-kit | 1.9k | — | ~1.9k | Automated safety check: Pass | Custom licence | |
| Databricks Mlflow Evaluationdatabricks/databricks-agent-skills | 345 | — | ~2.7k | Automated safety check: Pass | Custom licence | |
| Eval Triage And Improvementmicrosoft/eval-guide | 138 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Eval Guidemicrosoft/eval-guide | 138 | — | ~22k | Automated safety check: Warn | MIT | |
| Testing Livekit Agentslivekit-examples/agent-starter-python | 264 | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Evalmikeyobrien/rho | 372 | — | ~9.7k | Automated safety check: Pass | MIT |
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- Official
- Official
Eval Triage And Improvement
microsoft/eval-guide
A skill your agent uses when the user's Copilot Studio agent evaluations have come back and they need to interpret scores, diagnose root causes of underperforming test cases, find remediation steps…
- Official
Eval Guide
microsoft/eval-guide
Eval enablement accelerator — help customers think through "what does good look like" for their AI agent, then generate a structured eval plan and test cases they can use immediately.
Testing Livekit Agents
livekit-examples/agent-starter-python
Writes turn-level tests for a LiveKit agent in the user's normal test suite: pytest (Python) or Vitest (Node.js).
Eval
mikeyobrien/rho
Plan and run conversational AI agent evaluations with test generation and analysis.
OpenHarness End-to-End Evals
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Validates OpenHarness features by running real multi-turn agent loops with live LLM calls against an unfamiliar codebase, checking actual tool execution.
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Related
Works with
Categories
Questions about Skill Test
What does Skill Test do?
Testing framework for evaluating Databricks skills. An agent skill from databricks-solutions/ai-dev-kit. Skill Test is an agent skill from databricks-solutions/ai-dev-kit. Testing framework for evaluating Databricks skills.
When should I use Skill Test?
Skill Test fits situations like: building test cases for skills; running skill evaluations; comparing skill versions; creating ground truth datasets with the Generate-Review-Promote (GRP) pipeline.
How do I install Skill Test in Claude Code?
Run `npx skills add databricks-solutions/ai-dev-kit --skill skill-test -a claude-code`. Or copy the skill folder (.test in databricks-solutions/ai-dev-kit) into .claude/skills/skill-test in your project. Claude Code loads it when a task matches its description.
How do I install Skill Test in Codex?
Run `npx skills add databricks-solutions/ai-dev-kit --skill skill-test -a codex`. Or copy the skill folder (.test in databricks-solutions/ai-dev-kit) into .agents/skills/skill-test in your project. Codex loads it when a task matches its description.
Can I use Skill Test in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add databricks-solutions/ai-dev-kit --skill skill-test -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-test, .gemini/skills/skill-test, .github/skills/skill-test and .opencode/skills/skill-test in your project.
What does Skill Test need to run?
Going by SKILL.md and its folder, Skill Test needs the command-line tools its instructions call (uv). Our summary lists: Python 3.
Does Skill Test access the network?
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Skill Test safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Skill Test use?
Skill Test has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Skill Test use?
About 1.9k tokens (SKILL.md is roughly 7.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 6.3k tokens, read only when the agent opens those files.
What are the alternatives to Skill Test?
Skills that share tags, products or a category with Skill Test: Databricks Mlflow Evaluation (databricks/databricks-agent-skills, 345 stars), Eval Triage And Improvement (microsoft/eval-guide, 138 stars), Eval Guide (microsoft/eval-guide, 138 stars) and Testing Livekit Agents (livekit-examples/agent-starter-python, 264 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Test?
databricks-solutions (a GitHub organization) maintains it in databricks-solutions/ai-dev-kit, which has 1,939 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on August 13, 2026.
Source: databricks-solutions/ai-dev-kit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.