Agent skill

Database

by bionic-gpt in bionic-gpt/bionic-gpt

Create, query, update, or maintain SQLite databases and structured persistent data.

Apache-2.0Auto-check passedDatabases

Install Database

skills CLI
$ npx skills add bionic-gpt/bionic-gpt --skill database -a claude-code

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

GitHub CLI
$ gh skill install bionic-gpt/bionic-gpt database --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/bionic-gpt/bionic-gpt.git skills-src && mkdir -p .claude/skills && cp -r skills-src/crates/builtin-skills/skills/database .claude/skills/database && 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
database
GitHub stars
2.4k
Token cost
~314 tokens
SKILL.md length
158 words
Files
1
Skills in repo
21
Repo updated
First seen
Licence
Apache-2.0

At a glance

Create, query, update, or maintain SQLite databases and structured persistent data.

  • Works in 6 steps: Identify relevant database files in… → Inspect an existing database with… → Use :memory: for temporary SQL analysis.… → …
  • Databases work in your project
  • SKILL.md covers Workflow and Safety
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Database is an agent skill from bionic-gpt/bionic-gpt. Create, query, update, or maintain SQLite databases and structured persistent data.

Its SKILL.md is about 310 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Databases. It works with SQLite. The repository describes itself as: Bionic is sovereign Agentic AI for the enterprise — Runs on-premise and can securely work with your sensitive data and systems. The licence is Apache-2.0.

When your agent uses it

  • Databases work in your project

Example prompts

  • “/database”

Workflow steps

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

  1. Identify relevant database files in /home/user/attachments or /home/user/output.
  2. Inspect an existing database with .tables, .schema, row counts, and small targeted samples before writing analytical queries.
  3. Use :memory: for temporary SQL analysis. Copy an uploaded database to /tmp before changing it.
  4. Write durable database artifacts to /home/user/output/.sqlite.
  5. Prefer targeted queries and structured output. Avoid dumping large tables.
  6. Check join cardinality, NULL handling, types, filters, and row counts before reporting results.

What it can do on your machine

Read from SKILL.md and the folder at commit c155c00. 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

Database loads about 314 tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 158 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~314

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

The full file from bionic-gpt/bionic-gpt at commit c155c00, republished under its Apache-2.0 licence (© bionic-gpt). 158 words, ~314 tokens.

Download SKILL.mdSave it as .claude/skills/database/SKILL.md (or your agent's skills folder).
name
database
description
Create, query, update, or maintain SQLite databases and structured persistent data.

Database

Use this skill when the user asks to inspect, query, create, or modify a SQLite database inside the Bashkit sandbox. Use the sqlite command for SQL work. This skill does not provide access to remote databases or the application's Postgres database.

Workflow

  1. Identify relevant database files in /home/user/attachments or /home/user/output.
  2. Inspect an existing database with .tables, .schema, row counts, and small targeted samples before writing analytical queries.
  3. Use :memory: for temporary SQL analysis. Copy an uploaded database to /tmp before changing it.
  4. Write durable database artifacts to /home/user/output/<name>.sqlite.
  5. Prefer targeted queries and structured output. Avoid dumping large tables.
  6. Check join cardinality, NULL handling, types, filters, and row counts before reporting results.

Safety

  • Do not modify an uploaded database in place.
  • Confirm the exact target before destructive statements and use a transaction when practical.
  • Bashkit supports a bounded subset of the sqlite3 shell; ATTACH, DETACH, extensions, and an interactive REPL are unavailable.

© bionic-gpt, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in crates/builtin-skills/skills/database of bionic-gpt/bionic-gpt.

Open the folder on GitHubat commit c155c00

Compare with similar skills

Database 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.

Database compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Database this skillbionic-gpt/bionic-gpt2.4k—~314Automated safety check: PassApache-2.0
Iptvnator Sqlite DB Worker4gray/iptvnator7.3k—~824Automated safety check: PassMIT
Analyze Nsys Profilemlc-ai/pith-train355—~1.9kAutomated safety check: PassApache-2.0
Reactive Sqlite UIfastrepl/anarlog9.5k—~699Automated safety check: PassMIT
Composer Forensicsdxos/dxos525—~3.1kAutomated safety check: PassCustom licence
Sqlite Schema Designfastrepl/anarlog9.5k—~1.9kAutomated safety check: PassMIT

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Works with

Categories

Questions about Database

What does Database do?

Create, query, update, or maintain SQLite databases and structured persistent data. Database is an agent skill from bionic-gpt/bionic-gpt. Create, query, update, or maintain SQLite databases and structured persistent data.

When should I use Database?

Database fits situations like: databases work in your project.

How do I install Database in Claude Code?

Run `npx skills add bionic-gpt/bionic-gpt --skill database -a claude-code`. Or copy the skill folder (crates/builtin-skills/skills/database in bionic-gpt/bionic-gpt) into .claude/skills/database in your project. Claude Code loads it when a task matches its description.

How do I install Database in Codex?

Run `npx skills add bionic-gpt/bionic-gpt --skill database -a codex`. Or copy the skill folder (crates/builtin-skills/skills/database in bionic-gpt/bionic-gpt) into .agents/skills/database in your project. Codex loads it when a task matches its description.

Can I use Database 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 bionic-gpt/bionic-gpt --skill database -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/database, .gemini/skills/database, .github/skills/database and .opencode/skills/database in your project.

What does Database need to run?

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

Does Database 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 Database 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 Database use?

Database is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Database use?

About 314 tokens (SKILL.md is roughly 1.3k 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 Database?

Skills that share tags, products or a category with Database: Iptvnator Sqlite DB Worker (4gray/iptvnator, 7.3k stars), Analyze Nsys Profile (mlc-ai/pith-train, 355 stars), Reactive Sqlite UI (fastrepl/anarlog, 9.5k stars) and Composer Forensics (dxos/dxos, 525 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Database?

bionic-gpt (a GitHub organization) maintains it in bionic-gpt/bionic-gpt, which has 2,383 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 7, 2026.

Source: bionic-gpt/bionic-gpt on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.