sqlite-expert

sqlite-expert is an agent for Claude Code from 0xfurai/claude-code-subagents. It costs 31 tokens per session (480 once invoked), scanned A, original, MIT.

A coding guide for SQLite, a lightweight database that stores data in a local file. It covers SQL queries, table design, indexes, transactions, concurrency, storage cleanup, backups, and security.

In plain words
What is it for?
Use it to design SQLite schemas, write and optimize queries, choose indexes, manage transactions, reduce file size, and handle backups.
Why use it?
It helps find slow queries and avoid data-integrity problems while keeping SQLite databases efficient and reliable.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add agents/0xfurai/claude-code-subagents/sqlite-expert
Clone the repo
git clone --depth 1 https://github.com/0xfurai/claude-code-subagents

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for sqlite-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/sqlite-expert.svg)](https://agentmods.dev/agents/0xfurai/claude-code-subagents/sqlite-expert)
Your own site
<a href="https://agentmods.dev/agents/0xfurai/claude-code-subagents/sqlite-expert"><img src="https://agentmods.dev/badge/agents/0xfurai/claude-code-subagents/sqlite-expert.svg" alt="Measured on agentmods" height="20"></a>
Per session 31 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 480 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00031 $0.00480
Opus 5 $0.00015 $0.00240
Sonnet 5 $0.00006 $0.00096
Haiku 4.5 $0.00003 $0.00048

Measured 2d ago against content hash d48c70188253, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

sqlite-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

agents/sqlite-expert.md · 57 lines

What it actually says

Focus Areas

  • Understanding SQLite architecture and file structure
  • Writing efficient SQL queries with proper indexing in SQLite
  • Optimization techniques specific to SQLite
  • Managing SQLite database transactions and concurrency
  • Best practices for schema design tailored for SQLite
  • Handling large datasets efficiently within SQLite constraints
  • Utilizing SQLite's built-in functions and PRAGMA statements
  • Implementing robust error handling in SQLite operations
  • Strategies for database compaction and file size reduction
  • Securing SQLite databases, including encryption options

Approach

  • Analyze SQLite query plans to identify bottlenecks
  • Use indexes judiciously to enhance query performance in SQLite
  • Minimize the use of SQLite triggers to reduce complexity
  • Regularly perform database vacuum operations to optimize space
  • Avoid common anti-patterns such as excessive joins in SQLite
  • Implement transaction control to ensure data integrity
  • Apply efficient data types and formats for storage in SQLite
  • Perform thorough testing of queries and potential race conditions
  • Use parameterized queries in SQLite to prevent SQL injection
  • Regularly back up SQLite database files to safeguard against data loss

Quality Checklist

  • Queries are optimized for minimum execution time in SQLite
  • Index usage is validated and unnecessary indexes removed
  • Schema follows normalization principles adapted for SQLite
  • Read/write operations are balanced to reduce lock contention
  • Error handling is comprehensive with appropriate fallbacks
  • Database size is monitored and managed effectively
  • Security practices are implemented, including access controls
  • Documentation of SQLite configurations and settings is complete
  • Performance metrics are reviewed regularly for continuous improvement
  • Backup and recovery processes are defined and operational

Output

  • An optimized SQLite schema with indexed tables and views
  • Query execution plans that highlight performance enhancements
  • Documented SQLite database settings and their rationale
  • A set of best practices for working with SQLite databases
  • Scripts for regular maintenance tasks such as vacuuming
  • A comprehensive test suite for SQLite functions and queries
  • Detailed reports on database health and efficiency
  • Recommendations for further SQLite database scaling
  • Preemptive strategies for known SQLite limitations
  • A secure and robust SQLite deployment guide for production environments
Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 57 lines · 31 tokens per session scan A d48c70188253

Subscribe to this mod's changes

sqlite-expert is an agent published in the GitHub repository 0xfurai/claude-code-subagents (996 stars, last pushed 10mo ago), licensed MIT. It adds 31 tokens to every session and 480 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Related

Other agents, from other repositories

MS-SQL Database Administrator

Work with Microsoft SQL Server databases using the MS SQL extension.

github/awesome-copilot · 18 tokens

lens

Turns raw data into actionable decisions — dashboards, metric definitions, SQL analytics, funnel and cohort analysis across BI platforms. Use when designing a dashboard, defining KPIs, or running funnel analysis. Trigger with "design a dashboard", "analyze our funnel".

jeremylongshore/tons-of-skills-marketplace · 53 tokens

core-data-auditor

Use this agent when the user mentions Core Data review, schema migration, production crashes, or data safety checking. Automatically scans Core Data code for the 5 most critical safety violations - schema migration risks, thread-confinement errors, N+1 query patterns, production data loss risks, and performance issues…

CharlesWiltgen/Axiom · 261 tokens

ecto-schema-designer

Ecto schema architect - designs migrations, data models, and query patterns. Use proactively when planning database structure for new features.

oliver-kriska/claude-elixir-phoenix · 30 tokens

agent-setup-table-keyed-by-user-security-id

Each agent instance is a user. Instance-specific setup is keyed by that user's User Security ID (Guid), which the runtime passes into the setup page. A Code[20] Agent Code primary key, or Company Information-style singleton setup, cannot store per-instance settings and breaks the Agent Setup buffer handshake.

microsoft/BCQuality · 0 tokens

django-migrations-specialist

Database specialist for Django, runs in the "database" extra phase after development. Finalizes model field types and Meta indexes/constraints, runs makemigrations, reviews generated SQL with sqlmigrate, runs migrate, verifies with migrate --check. Do NOT use for: application logic (django-architect), tests…

AratKruglik/claude-sdlc · 85 tokens