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.
npx skills add chaterm/terminal-skills --skill mysqlgit clone --depth 1 https://github.com/chaterm/terminal-skillsWrote 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.
[](https://agentmods.dev/skills/chaterm/terminal-skills/mysql)<a href="https://agentmods.dev/skills/chaterm/terminal-skills/mysql"><img src="https://agentmods.dev/badge/skills/chaterm/terminal-skills/mysql/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.
<a href="https://agentmods.dev/skills/chaterm/terminal-skills/mysql"><img src="https://agentmods.dev/badge/skills/chaterm/terminal-skills/mysql.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00010 | $0.00928 |
| Opus 5 | $0.00005 | $0.00464 |
| Sonnet 5 | $0.00002 | $0.00186 |
| Haiku 4.5 | $0.00001 | $0.00093 |
Grade A, and why
mysql 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MySQL 数据库管理
概述
MySQL/MariaDB 数据库的日常管理、备份恢复、性能调优等运维技能。
连接管理
# 本地连接
mysql -u root -p
# 远程连接
mysql -h hostname -P 3306 -u user -p database
# 执行 SQL 文件
mysql -u user -p database < script.sql
# 执行单条命令
mysql -u user -p -e "SHOW DATABASES;"
用户与权限
-- 查看用户
SELECT user, host FROM mysql.user;
-- 创建用户
CREATE USER 'username'@'%' IDENTIFIED BY 'password';
-- 授权
GRANT ALL PRIVILEGES ON database.* TO 'username'@'%';
GRANT SELECT, INSERT ON database.table TO 'username'@'%';
-- 刷新权限
FLUSH PRIVILEGES;
-- 查看权限
SHOW GRANTS FOR 'username'@'%';
数据库操作
-- 数据库管理
SHOW DATABASES;
CREATE DATABASE dbname CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;
DROP DATABASE dbname;
USE dbname;
-- 表管理
SHOW TABLES;
DESCRIBE tablename;
SHOW CREATE TABLE tablename;
备份与恢复
mysqldump 备份
# 备份单个数据库
mysqldump -u root -p database > backup.sql
# 备份所有数据库
mysqldump -u root -p --all-databases > all_backup.sql
# 备份表结构
mysqldump -u root -p --no-data database > schema.sql
# 压缩备份
mysqldump -u root -p database | gzip > backup.sql.gz
恢复
# 恢复数据库
mysql -u root -p database < backup.sql
# 从压缩文件恢复
gunzip < backup.sql.gz | mysql -u root -p database
性能监控
-- 查看进程
SHOW PROCESSLIST;
SHOW FULL PROCESSLIST;
-- 查看状态
SHOW STATUS;
SHOW GLOBAL STATUS LIKE 'Threads%';
SHOW GLOBAL STATUS LIKE 'Connections';
-- 查看变量
SHOW VARIABLES LIKE 'max_connections';
SHOW VARIABLES LIKE '%buffer%';
-- 慢查询
SHOW VARIABLES LIKE 'slow_query%';
SHOW GLOBAL STATUS LIKE 'Slow_queries';
常见场景
场景 1:排查慢查询
-- 开启慢查询日志
SET GLOBAL slow_query_log = 'ON';
SET GLOBAL long_query_time = 1;
-- 查看慢查询日志位置
SHOW VARIABLES LIKE 'slow_query_log_file';
-- 分析执行计划
EXPLAIN SELECT * FROM table WHERE condition;
EXPLAIN ANALYZE SELECT * FROM table WHERE condition;
场景 2:锁问题排查
-- 查看锁等待
SHOW ENGINE INNODB STATUS\G
-- 查看当前锁
SELECT * FROM information_schema.INNODB_LOCKS;
SELECT * FROM information_schema.INNODB_LOCK_WAITS;
-- 查看事务
SELECT * FROM information_schema.INNODB_TRX;
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.
- 10d ago First seen · 164 lines · 10 tokens per session scan A 4db7a6c8f4df
mysql is a skill published in the GitHub repository chaterm/terminal-skills (59 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 10 tokens to every session and 928 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 2026-08-30.
Other skills, from other repositories
mysql-expert
MySQL and MariaDB administration and development: InnoDB internals, indexing, query tuning, replication, and online schema change. Use when the user mentions MySQL, MariaDB, InnoDB, my.cnf, slow queries, EXPLAIN, binlog or replication lag, gtid, Percona or pt-online-schema-change, or when the task involves designing a…
sql-expert
Expert-level SQL database design, querying, optimization, and administration across PostgreSQL, MySQL, and SQL Server. Use when the user mentions database, PostgreSQL, MySQL, or query optimization, or when the task involves Database Design, Advanced Queries, Indexes and Performance, or Transactions and Concurrency.
Database Schema Reviewer
Reviews database schemas for normalization issues, missing indexes, naming inconsistencies, and scalability risks.
sql-agent
Write, optimize, and explain SQL queries. Use when user needs to write a query, debug slow SQL, understand a query plan, or design a schema.
graphjin-eval
Create, extend, run, baseline, and diagnose GraphJin agent evaluations through the graphjin eval CLI.
graphjin-env
Use when setting up a training or evaluation loop against a GraphJin agent environment — running the container, reading /health, driving episodes hosted or step-by-step or with your own agent over MCP, splitting train from eval, exporting trajectories, and deciding whether two rewards can be compared.