SQL evaluation criteria for Databricks. An agent skill from databricks-solutions/ai-dev-kit.
$ npx skills add databricks-solutions/ai-dev-kit --skill sql-correctness -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install databricks-solutions/ai-dev-kit sql-correctness --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/eval-criteria/sql-correctness .claude/skills/sql-correctness && 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 "sql-correctness" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/sql-correctness into .claude/skills/sql-correctness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-correctness", 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/.test/eval-criteria/sql-correctnessType 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 sql-correctness -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install databricks-solutions/ai-dev-kit sql-correctness --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/eval-criteria/sql-correctness .agents/skills/sql-correctness && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sql-correctness" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/sql-correctness into .agents/skills/sql-correctness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-correctness", 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 sql-correctness -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install databricks-solutions/ai-dev-kit sql-correctness --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/eval-criteria/sql-correctness .cursor/skills/sql-correctness && 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 "sql-correctness" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/sql-correctness into .cursor/skills/sql-correctness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-correctness", 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/eval-criteria/sql-correctness--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 sql-correctness -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install databricks-solutions/ai-dev-kit sql-correctness --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/eval-criteria/sql-correctness .gemini/skills/sql-correctness && 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 "sql-correctness" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/sql-correctness into .gemini/skills/sql-correctness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-correctness", 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 sql-correctnessInstalls 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 sql-correctness -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/eval-criteria/sql-correctness .github/skills/sql-correctness && 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 "sql-correctness" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/sql-correctness into .github/skills/sql-correctness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-correctness", 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 sql-correctness -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 sql-correctness --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/eval-criteria/sql-correctness .opencode/skills/sql-correctness && 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 "sql-correctness" agent skill from https://github.com/databricks-solutions/ai-dev-kit/tree/main/.test/eval-criteria/sql-correctness into .opencode/skills/sql-correctness/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sql-correctness", 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.
sql-correctnessSQL evaluation criteria for Databricks. An agent skill from databricks-solutions/ai-dev-kit.
SQL Correctness is an agent skill from databricks-solutions/ai-dev-kit. SQL evaluation criteria for Databricks. Load when the trace contains executesql tool calls or SQL code in responses. Covers syntax validity, Unity Catalog patterns, and Databricks-specific SQL features.
Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/DATABRICKS_SQL_PATTERNS.md`).
It sits in Databases, covering SQL. It works with SQL and Databricks. The repository describes itself as: Databricks Toolkit for Coding Agents provided by Field Engineering.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit b059fd0. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
databricksFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
SQL Correctness loads about 438 tokens when it runs, and up to ~785 if it reads all its reference files. Until then it costs about 55 tokens; SKILL.md has 180 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.
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); files beside SKILL.md are not scanned.
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 180 words (~438 tokens).
“When evaluating SQL in agent traces, check these dimensions:”
SKILL.md and 1 other file (references) in .test/eval-criteria/sql-correctness of databricks-solutions/ai-dev-kit.
Open the folder on GitHubat commit b059fd0
SQL Correctness 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 |
|---|---|---|---|---|---|---|
| SQL Correctness this skilldatabricks-solutions/ai-dev-kit | 1.9k | — | ~438 | Automated safety check: Pass | Custom licence | |
| Optimizing Databricks SQLAltimateAI/data-engineering-skills | 127 | — | ~6.7k | Automated safety check: Pass | MIT | |
| Databricks Dbsqldatabricks/databricks-agent-skills | 345 | 1 repos | ~2.8k | Automated safety check: Pass | Custom licence | |
| Mendix Odata Pushdownmendixlabs/mxcli | 128 | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Databricks CLIaehrc/pathling | 137 | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| SQL Queriesw95/awesome-claude-corporate-skills | 235 | 3 repos | ~2.8k | Automated safety check: Pass | MIT |
AltimateAI/data-engineering-skills
Analyze DBSQL queries, including SQL embedded in notebooks (spark.sql(...), %sql cells), for anti-patterns, lint issues, and performance problems, using Databricks-specific dialect and platform…
databricks/databricks-agent-skills
Databricks SQL (DBSQL) advanced features and SQL warehouse capabilities.
mendixlabs/mxcli
Push OData query options into the SQL of a Mendix resource served by a read microflow, so $filter, $orderby, $top, $skip, $count and the key lookup reach the database instead of being silently…
aehrc/pathling
Expert guidance for using the Databricks CLI to manage Databricks workspaces, clusters, jobs, pipelines, Unity Catalog, SQL warehouses, serving endpoints, secrets, bundles, and all other Databricks…
w95/awesome-claude-corporate-skills
Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.).
databricks/databricks-agent-skills
Create Databricks AI/BI dashboards. An agent skill from databricks/databricks-agent-skills.
databricks-solutions/ai-dev-kit
Testing framework for evaluating Databricks skills. An agent skill from databricks-solutions/ai-dev-kit.
databricks-solutions/ai-dev-kit
Python development guidance with code quality standards, error handling, testing practices, and environment management.
databricks-solutions/ai-dev-kit
Evaluates whether the agent selected appropriate MCP tools instead of shell workarounds.
databricks-solutions/ai-dev-kit
General response quality evaluation. An agent skill from databricks-solutions/ai-dev-kit.
Works with
Categories
SQL evaluation criteria for Databricks. An agent skill from databricks-solutions/ai-dev-kit. SQL Correctness is an agent skill from databricks-solutions/ai-dev-kit. SQL evaluation criteria for Databricks.
SQL Correctness fits situations like: tasks that involve SQL.
Run `npx skills add databricks-solutions/ai-dev-kit --skill sql-correctness -a claude-code`. Or copy the skill folder (.test/eval-criteria/sql-correctness in databricks-solutions/ai-dev-kit) into .claude/skills/sql-correctness in your project. Claude Code loads it when a task matches its description.
Run `npx skills add databricks-solutions/ai-dev-kit --skill sql-correctness -a codex`. Or copy the skill folder (.test/eval-criteria/sql-correctness in databricks-solutions/ai-dev-kit) into .agents/skills/sql-correctness in your project. Codex loads it when a task matches its description.
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 sql-correctness -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sql-correctness, .gemini/skills/sql-correctness, .github/skills/sql-correctness and .opencode/skills/sql-correctness in your project.
Going by SKILL.md and its folder, SQL Correctness needs the command-line tools its instructions call (databricks).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
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. Review the folder before installing.
SQL Correctness has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
About 438 tokens (SKILL.md is roughly 1.8k 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 347 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with SQL Correctness: Optimizing Databricks SQL (AltimateAI/data-engineering-skills, 127 stars), Databricks Dbsql (databricks/databricks-agent-skills, 345 stars), Mendix Odata Pushdown (mendixlabs/mxcli, 128 stars) and Databricks CLI (aehrc/pathling, 137 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
databricks-solutions (a GitHub organization) maintains it in databricks-solutions/ai-dev-kit, which has 1,938 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.
