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 1821471638/fastadmin-ai-skills --skill mysql-dev-dbgit clone --depth 1 https://github.com/1821471638/fastadmin-ai-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/1821471638/fastadmin-ai-skills/mysql-dev-db)<a href="https://agentmods.dev/skills/1821471638/fastadmin-ai-skills/mysql-dev-db"><img src="https://agentmods.dev/badge/skills/1821471638/fastadmin-ai-skills/mysql-dev-db/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/1821471638/fastadmin-ai-skills/mysql-dev-db"><img src="https://agentmods.dev/badge/skills/1821471638/fastadmin-ai-skills/mysql-dev-db.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 | $0.00106 | $0.01440 |
| Opus 5 | $0.00053 | $0.00720 |
| Sonnet 5 | $0.00021 | $0.00288 |
| Haiku 4.5 | $0.00011 | $0.00144 |
Grade A, and why
mysql-dev-db 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 9d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MySQL 本地开发数据库
使用边界
- 只用于本地开发数据库，不用于生产库、线上库或不可确认环境。
- 默认用简体中文说明操作结果；SQL、命令、表名、字段名、配置 key、错误信息保持原文。
- 优先使用当前工作目录或本 skill 自带的
mysql_dev_db.pyhelper 连接数据库，不要临时生成 PHP PDO 脚本。 - 如果当前工作目录存在
scripts/mysql_dev_db.py，优先执行就近 helper；否则再按当前 shell 调用全局 skill helper。 - 命令示例必须按当前 shell 写路径变量：PowerShell 用
$env:USERPROFILE，cmd 用%USERPROFILE%，Bash/Git Bash/Linux/macOS 用$HOME。 - 优先使用
mysqlCLI，因为它最接近真实 MySQL 执行行为，适合执行.sql文件、初始化表结构和排查 SQL 错误。 - 只有
mysqlCLI 不可用时，才使用PyMySQL作为兜底。
配置读取规则
先从当前工作目录读取数据库配置。按以下顺序查找：
.env.env.local.env.development.ai/config.json中的mysql_dev_db- 当前 shell 环境变量
支持常见变量名：
MYSQL_HOST, MYSQL_PORT, MYSQL_USER, MYSQL_PASSWORD, MYSQL_DATABASE, MYSQL_CHARSET
DB_HOST, DB_PORT, DB_USER, DB_USERNAME, DB_PASSWORD, DB_DATABASE, DB_NAME, DB_CHARSET
DATABASE_URL
database.hostname, database.hostport, database.username, database.password, database.database, database.charset
如果 .env 中存在 [DATABASE] 段，也应识别：
HOSTNAME, HOSTPORT, USERNAME, PASSWORD, DATABASE, CHARSET, PREFIX
命令选择规则
先用就近 helper；只有当前工作目录没有 scripts/mysql_dev_db.py 时，才使用全局 helper。
就近 helper
就近 helper 最适合所有 AI 或 agent，因为它不依赖具体用户目录：
python scripts/mysql_dev_db.py ping
python scripts/mysql_dev_db.py tables
python scripts/mysql_dev_db.py schema
python scripts/mysql_dev_db.py describe users
python scripts/mysql_dev_db.py query "SELECT COUNT(*) AS c FROM users"
python scripts/mysql_dev_db.py file database/init.sql
全局 helper
Windows PowerShell：
python "$env:USERPROFILE\.cc-switch\skills\mysql-dev-db\scripts\mysql_dev_db.py" ping
python "$env:USERPROFILE\.cc-switch\skills\mysql-dev-db\scripts\mysql_dev_db.py" tables
python "$env:USERPROFILE\.cc-switch\skills\mysql-dev-db\scripts\mysql_dev_db.py" schema
python "$env:USERPROFILE\.cc-switch\skills\mysql-dev-db\scripts\mysql_dev_db.py" describe users
python "$env:USERPROFILE\.cc-switch\skills\mysql-dev-db\scripts\mysql_dev_db.py" query "SELECT COUNT(*) AS c FROM users"
python "$env:USERPROFILE\.cc-switch\skills\mysql-dev-db\scripts\mysql_dev_db.py" file database/init.sql
What ships with it
2 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.
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.
- 9d ago First seen · 127 lines · 106 tokens per session scan A a1658a6c33a6
mysql-dev-db is a skill published in the GitHub repository 1821471638/fastadmin-ai-skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 106 tokens to every session and 1,440 once invoked, about $0.0005 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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graphjin-env
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