General response quality evaluation. An agent skill from databricks-solutions/ai-dev-kit.

Custom licenceAuto-check passed

Install General Quality

skills CLI
$ npx skills add databricks-solutions/ai-dev-kit --skill general-quality -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install databricks-solutions/ai-dev-kit general-quality --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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/general-quality .claude/skills/general-quality && rm -rf skills-src

Use ~/.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/

Facts

Skill name
general-quality
GitHub stars
1.9k
Token cost
~358 tokens
SKILL.md length
162 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
Custom licence

At a glance

General response quality evaluation. An agent skill from databricks-solutions/ai-dev-kit.

  • Works in 5 steps: Actionable Output → Structured Response → No Hallucination → …
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

General Quality is an agent skill from databricks-solutions/ai-dev-kit. General response quality evaluation. Always applicable regardless of domain. Covers response structure, actionability, clarity, and hallucination detection.

Its SKILL.md is about 360 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Databricks. The repository describes itself as: Databricks Toolkit for Coding Agents provided by Field Engineering.

Example prompts

  • “/general-quality”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Actionable Output
  2. Structured Response
  3. No Hallucination
  4. Conciseness
  5. Error Handling

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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

General Quality loads about 358 tokens when it runs. Until then it costs about 43 tokens; SKILL.md has 162 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~43
When it runs · the whole SKILL.md, loaded when a task matches
~358

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); files beside SKILL.md 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 162 words (~358 tokens).

“When evaluating any Claude Code agent trace, check these dimensions:”

— opening of SKILL.md by databricks-solutions, Custom licence
name
general-quality
metadata.category
evaluation
metadata.version
1.0

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .test/eval-criteria/general-quality of databricks-solutions/ai-dev-kit.

Open the folder on GitHubat commit b059fd0

Compare with similar skills

General Quality 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.

General Quality compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
General Quality this skilldatabricks-solutions/ai-dev-kit1.9k—~358Automated safety check: PassCustom licence
Chdb Datastorevemetric/vemetric3942 repos~1.4kAutomated safety check: PassApache-2.0
Azure Architecture Autopilotgithub/awesome-copilot40k1 repos~1.9kAutomated safety check: PassMIT
Dbt Databricks PR Readydatabricks/dbt-databricks379—~2.8kAutomated safety check: PassApache-2.0
Bump CLI Compatibility Manifestdatabricks/cli404—~1.3kAutomated safety check: NotesCustom licence
Databricks CLI SDK Bumpdatabricks/cli404—~2kAutomated safety check: NotesCustom licence

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Works with

Questions about General Quality

What does General Quality do?

General response quality evaluation. An agent skill from databricks-solutions/ai-dev-kit. General Quality is an agent skill from databricks-solutions/ai-dev-kit. General response quality evaluation.

How do I install General Quality in Claude Code?

Run `npx skills add databricks-solutions/ai-dev-kit --skill general-quality -a claude-code`. Or copy the skill folder (.test/eval-criteria/general-quality in databricks-solutions/ai-dev-kit) into .claude/skills/general-quality in your project. Claude Code loads it when a task matches its description.

How do I install General Quality in Codex?

Run `npx skills add databricks-solutions/ai-dev-kit --skill general-quality -a codex`. Or copy the skill folder (.test/eval-criteria/general-quality in databricks-solutions/ai-dev-kit) into .agents/skills/general-quality in your project. Codex loads it when a task matches its description.

Can I use General Quality 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 general-quality -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/general-quality, .gemini/skills/general-quality, .github/skills/general-quality and .opencode/skills/general-quality in your project.

What does General Quality need to run?

SKILL.md names no scripts, command-line tools or credentials: General Quality is instructions for the agent only.

Does General Quality access the network?

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.

Is General Quality 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. Review the folder before installing.

What licence does General Quality use?

General Quality 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 General Quality use?

About 358 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to General Quality?

Skills that share tags, products or a category with General Quality: Chdb Datastore (vemetric/vemetric, 394 stars), Azure Architecture Autopilot (github/awesome-copilot, 40k stars), Dbt Databricks PR Ready (databricks/dbt-databricks, 379 stars) and Bump CLI Compatibility Manifest (databricks/cli, 404 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains General Quality?

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.