mysql-cli AGENTS.md

A project guide for a Go command-line tool that lets AI agents query and modify MySQL databases through shell commands. MySQL is a database system, and a command-line tool is operated by typing commands rather than using a graphical interface.

In plain words
What is it for?
Use it when building, testing, reviewing, or extending the MySQL CLI. It covers compilation, static checks, unit tests, coverage, integration tests, database queries, and repository skill checks.
Why use it?
It explains the project’s command structure, layered design, output format, and testing rules so changes remain predictable for agents and users. It also distinguishes local unit tests from integration tests that need a real MySQL container.

Instructions file for CodexOpenCode

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 instructions/allenmuu/mysql-cli/agents-md
Clone the repo
git clone --depth 1 https://github.com/AllenMuu/mysql-cli

Made for: Codex, OpenCode.

Per session 2,728 This file is loaded in full into every session.
When invoked 2,728 The same file — it is already loaded in full.
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 $0.02728 $0.02728
Opus 5 $0.01364 $0.01364
Sonnet 5 $0.00546 $0.00546
Haiku 4.5 $0.00273 $0.00273

Measured yesterday against content hash acec484d6253, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

mysql-cli AGENTS.md 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 yesterday.

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.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This file provides guidance to AI agents when working with code in this repository.

项目定位

Go 实现的 MySQL CLI,目标是替代 designcomputer/mysql_mcp_server:把原 MCP 的全部只读/写能力下沉为命令行子命令,让任何能跑 shell 的 AI agent(Claude Code / Cursor / Codex / Aider)无需 MCP runtime 即可查询 MySQL。设计前提是 agent 是首要调用方(默认 JSON 输出、稳定退出码),REPL 仅供人类调试,不是主路径。

常用命令

go build ./...                              # 编译
go vet ./...                                # 静态检查
go test ./...                               # 单元测试(默认,136 用例,全部用 sqlmock,无需 DB)
go test ./internal/query/ -run TestApplyLimit -v   # 跑单个测试
go test -cover ./...                        # 覆盖率(项目目标 ≥80%,历史区间 81%~92%)
go test -coverprofile=cover.out ./... && go tool cover -func=cover.out   # 覆盖率明细
./scripts/skill-format-check.sh skills/     # 校验 SKILL.md frontmatter
./scripts/skill-format-check/test.sh        # skill-format-check 自测(good/bad 用例)

集成测试需要真实 MySQL,用 testcontainers-go 起 mysql:8 容器,默认跳过

RUN_INTEGRATION=1 go test -tags=integration ./internal/integration/ -v

internal/integration/integration_test.go//go:build integration 构建标签,且 TestMainRUN_INTEGRATION 未设置时直接 os.Exit(m.Run()) 跳过容器初始化。Docker 未运行时不要开此变量。

架构(分层与依赖方向)

包严格单向依赖,result 是无依赖底层,避免循环引用:

cmd/mysql-cli/main  ->  cli(cobra 装配 + 退出码映射 + config 子命令)
                          ↓
        config ─-> conn ─-> query ─-> result
          │        │       └─-> safety(无依赖,纯逻辑)
          │        └─-> schema ─-> result/safety
          └─ env/file 解析   repl(聚合 query+schema+format)
                              format ← result
  • result - 共享 Result{Columns, Rows, RowsAffected, LastInsertID},是 query/schema(生产者)与 format/cli(消费者)之间的中立契约。
  • safety - 纯逻辑、零依赖、完全可单测。SQL 分类(read/dml/ddl/unknown)、只读闸门、标识符校验、多语句检测、破坏性操作识别。改动安全模型时只动这里。
  • config - TOML 命名数据源 + MYSQL_* 环境变量兼容(零配置迁移自原 MCP)。解析优先级:CLI flag > env > file > default(见 Resolve)。密码支持 ${ENV} 占位符展开。
  • conn - 由 config.Datasource 渲染 go-sql-driver DSN 并开连接池;SSH 隧道在 Open 前建立,DSN 指向本地转发端口。Pool.Close 先关隧道再关 *sql.DB(生命周期绑定,见下)。
  • query - Execute(读,走 QueryContext)、ExecuteWrite(单条 DML/DDL,包在事务里提交)、ExecuteTxn(多条原子事务)。每条语句都过 safety 闸门 + 多语句检测。
  • schema - 只读探索命令(schema/sample/tables/databases/read/explore/analyze),对应原 MCP 的 get_schema_info/get_table_sample/list_resources/read_resource。所有标识符在拼接 SQL 前经 safety.Validate* 校验。
  • format - result.Result -> json/table/csv/tsv;JSON 严格信封 {success,data,error:{code,message}}
  • cli - cobra 子命令 + 全局 flag + mapError 把核心 error 翻译成退出码;含 config 子命令(init/list/global/project)。
  • repl - readline 交互壳,仅人类调试用,复用 query/schema/format。

Read the full file on GitHub · 92 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. yesterday First seen · 92 lines · 2,728 tokens per session scan A acec484d6253

Subscribe to this mod's changes

mysql-cli AGENTS.md is an instructions file published in the GitHub repository AllenMuu/mysql-cli (2 stars, last pushed 20d ago), licensed MIT. It adds 2,728 tokens to every session, about $0.0136 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 2026-08-31.

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