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sql-query-reviewerSQL query reviewer 搜索

Agent Skill

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。它适合让 Agent 分析 schema、编写 SQL、排查查询问题、整理索引或生成迁移建议。使用时需要明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除、更新、迁移和批量导入时,应优先 dry-run、备份或事务保护,避免误操作。

总安装

5,692

周安装

242

GitHub Stars

公开资料未说明

下载量

1,994
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:sql-query-reviewer(SQL query reviewer 搜索)
来源仓库:https://github.com/lnguyen1996/sql-query-reviewer
安装命令:
openclaw skills install sql-query-reviewer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install sql-query-reviewer

简介

检查 SQL 查询的正确性、安全风险和性能问题;提供包含严重性评级和优化重写的结构化报告。

SKILL.md

sql-query-reviewer

Description

Review SQL queries across any dialect for correctness, performance, and security. Finds N+1 patterns, missing indexes, injection risks, cartesian joins, and implicit type casts. Returns a structured report with severity ratings and optimized rewrites.

Use when

  • "optimize this query"
  • "is this SQL safe"
  • "why is my query slow"
  • "check my SQL"
  • "is this injection-safe"
  • Any raw SQL query, ORM-generated SQL, or migration file

Supported dialects

PostgreSQL, MySQL, SQLite, SQL Server (T-SQL), Oracle, BigQuery, Snowflake — and any ANSI SQL.

Input

Paste the SQL query or queries. Optionally specify:

  • Dialect (defaults to generic ANSI SQL)
  • Approximate table sizes (helps with index advice)
  • Whether this is in a hot path (e.g., called on every request)
  • ORM in use (if applicable)

Output format

## SQL Query Review

### Critical (fix before production)
- [Finding] — [why this causes bugs or data loss]
  ✗ Before: [problematic SQL]
  ✓ After:  [corrected SQL]

### Performance (should fix)
- [Finding] — [estimated impact]
  ✗ Before: [slow SQL]
  ✓ After:  [optimized SQL]

### Suggestions (nice to have)
- [Finding] — [explanation]

### What's correct
- [Specific patterns done right]

### Summary
[2–3 sentences: biggest risk, top fix, index recommendations if any]

Review checklist

Correctness

  • NULL comparison using = instead of IS NULL
  • NOT IN with a subquery that can return NULLs — always false
  • UNION instead of UNION ALL when duplicates are acceptable (unnecessary dedup)
  • Wrong join type: INNER when LEFT needed, or vice versa
  • Cartesian join (missing ON clause or cross join without intent)
  • Aggregate without GROUP BY on non-aggregated columns
  • Incorrect use of HAVING vs WHERE
  • Date/time arithmetic in wrong timezone

Security

  • String interpolation into query — SQL injection risk
  • User-supplied value in ORDER BY, LIMIT, table/column name
  • Missing parameterisation in dynamic SQL
  • Overly broad SELECT * that exposes sensitive columns
  • Missing row-level security filter

Performance

  • SELECT * when only specific columns needed (excess data transfer)
  • Missing WHERE clause on large table scan
  • LIKE '%value%' — can't use index (leading wildcard)
  • Function applied to indexed column in WHERE — defeats index
  • N+1: query inside a loop that could be a single JOIN
  • Missing index on foreign key or frequently filtered column
  • Subquery that re-executes per row — use CTE or JOIN instead
  • ORDER BY RAND() or equivalent — full table scan
  • Unbounded result set with no LIMIT

Style

  • Inconsistent case (keywords, identifiers)
  • Ambiguous column reference without table alias
  • Long query with no CTEs to break it into readable steps
  • Magic number with no comment explaining it

Severity definitions

  • Critical: Correctness bug (wrong results), injection risk, or data loss — fix before production
  • Performance: Causes slow queries, full scans, or poor scalability — fix before release
  • Suggestion: Readability, maintainability, or defensive coding improvement

Self-improvement instructions

After each review, note the most common finding. After 20 reviews, surface the top 3 SQL anti-patterns seen as "Most common SQL issues" at the top of the response.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

86.36%
按下载量换算1,722

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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