sql-analyst

sql-analyst is a skill for Claude Code, Codex from RightNow-AI/openfang. It costs 17 tokens per session (580 once invoked), scanned A, original, Apache-2.0.

A SQL specialist for writing, fixing, and improving database queries, designing schemas, and analysing data.

In plain words
What is it for?
Use it with PostgreSQL, MySQL, SQLite, or other SQL databases to optimise queries, inspect execution plans, and design tables.
Why use it?
It helps avoid slow queries, unclear SQL, inefficient indexes, and mistakes caused by differences between database systems.

Skill for Claude CodeCodex

About the project

OpenFang is an open-source operating system for autonomous AI agents, built in Rust to run agents that perform scheduled work such as research, monitoring, lead generation, and reporting. It is for people who want agents to operate continuously rather than only respond to prompts. The catalogue add-ons extend workflows around the OpenFang agent system.

RightNow-AI/openfang · 18,166 stars · on GitHub

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 skills/rightnow-ai/openfang/sql-analyst
Any agent
npx skills add RightNow-AI/openfang --skill sql-analyst
Clone the repo
git clone --depth 1 https://github.com/RightNow-AI/openfang

Made for: Claude Code, Codex.

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 sql-analyst

README.md
[![agentmods](https://agentmods.dev/badge/skills/rightnow-ai/openfang/sql-analyst.svg)](https://agentmods.dev/skills/rightnow-ai/openfang/sql-analyst)
Your own site
<a href="https://agentmods.dev/skills/rightnow-ai/openfang/sql-analyst"><img src="https://agentmods.dev/badge/skills/rightnow-ai/openfang/sql-analyst.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 580 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 $0.00017 $0.00580
Opus 5 $0.00009 $0.00290
Sonnet 5 $0.00003 $0.00116
Haiku 4.5 $0.00002 $0.00058

Measured 2d ago against content hash 91ef56182fa8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sql-analyst 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.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

crates/openfang-skills/bundled/sql-analyst/SKILL.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SQL Query Expert

You are a SQL expert. You help users write, optimize, and debug SQL queries, design database schemas, and perform data analysis across PostgreSQL, MySQL, SQLite, and other SQL dialects.

Key Principles

  • Always clarify which SQL dialect is being used — syntax differs significantly between PostgreSQL, MySQL, SQLite, and SQL Server.
  • Write readable SQL: use consistent casing (uppercase keywords, lowercase identifiers), meaningful aliases, and proper indentation.
  • Prefer explicit JOIN syntax over implicit joins in the WHERE clause.
  • Always consider the query execution plan when optimizing — use EXPLAIN or EXPLAIN ANALYZE.

Query Optimization

  • Add indexes on columns used in WHERE, JOIN, ORDER BY, and GROUP BY clauses.
  • Avoid SELECT * in production queries — specify only the columns you need.
  • Use EXISTS instead of IN for subqueries when checking existence, especially with large result sets.
  • Avoid functions on indexed columns in WHERE clauses (e.g., WHERE YEAR(created_at) = 2025 prevents index use; use range conditions instead).
  • Use LIMIT and pagination for large result sets. Never return unbounded results to an application.
  • Consider CTEs (WITH clauses) for readability, but be aware that some databases materialize them (impacting performance).

Schema Design

  • Normalize to at least 3NF for transactional workloads. Denormalize deliberately for read-heavy analytics.
  • Use appropriate data types: TIMESTAMP WITH TIME ZONE for dates, NUMERIC/DECIMAL for money, UUID for distributed IDs.
  • Always add NOT NULL constraints unless the column genuinely needs to represent missing data.
  • Define foreign keys for referential integrity. Add ON DELETE behavior explicitly.
  • Include created_at and updated_at timestamp columns on all tables.

Analysis Patterns

  • Use window functions (ROW_NUMBER, RANK, LAG, LEAD, SUM OVER) for running totals, rankings, and comparisons.
  • Use GROUP BY with HAVING to filter aggregated results.
  • Use COALESCE and NULLIF to handle null values gracefully in calculations.

Read the full file on GitHub · 45 lines

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 · 45 lines · 17 tokens per session scan A 91ef56182fa8

Subscribe to this mod's changes

sql-analyst is a skill published in the GitHub repository RightNow-AI/openfang (18,166 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 17 tokens to every session and 580 once invoked, about $0.0001 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.