Qsql-pro

Qsql-pro is a skill for Claude Code, Codex from inho-team/qe-mcp. It costs 116 tokens per session (1,584 once invoked), scanned A, original, MIT.

Guidance for writing and improving SQL, the language used to query and change relational databases. It covers database structure, joins, common table expressions, window functions, indexes, and execution plans.

In plain words
What is it for?
Use it to write complex queries, troubleshoot performance, analyze execution plans, design schemas, and account for differences between PostgreSQL, MySQL, and SQL Server.
Why use it?
It helps explain slow queries and choose better query structures or indexes based on how the database will execute them.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to write complex queries, troubleshoot performance, analyze execution plans, design schemas, and account for differences between PostgreSQL, MySQL, and SQL Server.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/inho-team/qe-mcp/qsql-pro
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.

Any agent
npx skills add inho-team/qe-mcp --skill qsql-pro
Clone the repo
git clone --depth 1 https://github.com/inho-team/qe-mcp

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 Qsql-pro

README.md
[![agentmods](https://agentmods.dev/badge/skills/inho-team/qe-mcp/qsql-pro/github.svg)](https://agentmods.dev/skills/inho-team/qe-mcp/qsql-pro)
Your own site
<a href="https://agentmods.dev/skills/inho-team/qe-mcp/qsql-pro"><img src="https://agentmods.dev/badge/skills/inho-team/qe-mcp/qsql-pro/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for Qsql-pro

Your own site · 80×15
<a href="https://agentmods.dev/skills/inho-team/qe-mcp/qsql-pro"><img src="https://agentmods.dev/badge/skills/inho-team/qe-mcp/qsql-pro.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,584 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00116 $0.01584
Opus 5.5 $0.00046 $0.00634
Sonnet 5.5 $0.00023 $0.00317
Haiku 4.5 $0.00012 $0.00158

Measured 1mo ago against content hash 55fd49449671, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

Qsql-pro 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 1mo 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.

expert-library/packs/core-experts/skills/Qsql-pro/SKILL.md · 156 lines

How it starts

The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.

SQL Pro

Core Workflow

  1. Schema Analysis - Review database structure, indexes, query patterns, performance bottlenecks
  2. Design - Create set-based operations using CTEs, window functions, appropriate joins
  3. Optimize - Analyze execution plans, implement covering indexes, eliminate table scans
  4. Verify - Run EXPLAIN ANALYZE and confirm no sequential scans on large tables; if query does not meet sub-100ms target, iterate on index selection or query rewrite before proceeding
  5. Document - Provide query explanations, index rationale, performance metrics

Reference Guide

Load detailed guidance based on context:

Topic Reference Load When
Query Patterns references/query-patterns.md JOINs, CTEs, subqueries, recursive queries
Window Functions references/window-functions.md ROW_NUMBER, RANK, LAG/LEAD, analytics
Optimization references/optimization.md EXPLAIN plans, indexes, statistics, tuning
Database Design references/database-design.md Normalization, keys, constraints, schemas
Dialect Differences references/dialect-differences.md PostgreSQL vs MySQL vs SQL Server specifics

Code Patterns

Basic: SELECT with JOIN

-- Purpose: Retrieve customer orders with inline total calculation
-- Parameters: order_date must be parameterized (?1) to prevent SQL injection
-- Expected output: customer_name, order_id, total_amount (sum of line items)
SELECT 
    c.name AS customer_name,
    o.order_id,
    SUM(li.quantity * li.unit_price) AS total_amount
FROM customers c
INNER JOIN orders o ON c.customer_id = o.customer_id
LEFT JOIN line_items li ON o.order_id = li.order_id
WHERE o.order_date > ?1
GROUP BY c.customer_id, c.name, o.order_id;

Error Handling: Transaction with SAVEPOINT

-- Purpose: Safely process fund transfers with rollback on constraint violation
-- Rollback: ROLLBACK TO sp_transfer; handles duplicate key or insufficient funds
BEGIN TRANSACTION;
    SAVEPOINT sp_transfer;
    UPDATE accounts SET balance = balance - ?1 WHERE account_id = ?2;
    UPDATE accounts SET balance = balance + ?1 WHERE account_id = ?3;
    
    -- Constraint violation triggers automatic rollback to savepoint
    IF @@ERROR <> 0 ROLLBACK TRANSACTION;
COMMIT TRANSACTION;

Read the full file on GitHub · 156 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 1mo ago First seen · 156 lines · 116 tokens per session scan A 55fd49449671

Subscribe to this mod's changes

Qsql-pro is a skill published in the GitHub repository inho-team/qe-mcp (0 stars, last pushed 7d ago), licensed MIT. It adds 116 tokens to every session and 1,584 once invoked, about $0.0005 per session on Opus 5.5. 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 2026-09-01.

Related

Other skills, from other repositories

create-pr

Creates a GitHub PR with a Linear-ticket-prefixed title and a decision-led, narrative description for Prisma 8. Use when the user wants to create a pull request, open a PR, or submit changes for review.

prisma/orm · 48 tokens

schema-exploration

Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.

langchain-ai/deepagents · 57 tokens

atlas-mssql

SQL Server specifics for Atlas (also Azure SQL and MSSQL): login, dev database and URL scope (mode=schema vs mode=database, the database query parameter), compatibility level and collation, system-generated constraint names, clustered index defaults and datetime2 precision in HCL, GO batches and the delimiter…

ariga/atlas · 147 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens

nornicdb-cypher-queries

Pick fast, predictable Cypher query shapes in NornicDB — point lookups, batch retrieval, pagination, search, traversal, batched UNWIND/MERGE writes, cleanup, multi-tenant isolation. Use when writing or reviewing Cypher whose latency or throughput matters; maps user intent to the executor's hot-path query templates.

orneryd/NornicDB · 79 tokens

volcengine-rds-postgresql

A tool for operating PostgreSQL databases hosted by Volcano Engine's managed database service. PostgreSQL is a relational database used to store structured application data.

bytedance/agentkit-samples · 63 tokens