Borrowing it
Nothing to install: this file belongs to MisonL/Ling. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/MisonL/Ling/main/.agents/skills/database-design/SKILL.mdgit clone --depth 1 https://github.com/MisonL/LingWrote 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/misonl/ling/database-design)<a href="https://agentmods.dev/skills/misonl/ling/database-design"><img src="https://agentmods.dev/badge/skills/misonl/ling/database-design/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/misonl/ling/database-design"><img src="https://agentmods.dev/badge/skills/misonl/ling/database-design.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 | $0.00030 | $0.00468 |
| Opus 5.5 | $0.00012 | $0.00187 |
| Sonnet 5.5 | $0.00006 | $0.00094 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
database-design 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.
What it actually says
数据库设计
学习如何思考(THINK),而非机械复制 SQL 模式。
选择性阅读规则
仅阅读与请求相关的文档! 查阅内容地图,找到所需信息。
| 文件 | 描述 | 阅读时机 |
|---|---|---|
database-selection.md |
PostgreSQL vs Neon vs Turso vs SQLite | 选择数据库时 |
orm-selection.md |
Drizzle vs Prisma vs Kysely | 选择 ORM 时 |
schema-design.md |
范式化、主键、关系设计 | 设计模式时 |
indexing.md |
索引类型、复合索引 | 性能调优时 |
optimization.md |
N+1 问题、EXPLAIN ANALYZE | 查询优化时 |
migrations.md |
安全迁移、Serverless 数据库 | 模式变更时 |
[WARN] 核心原则
- 需求不明确时,主动询问数据库偏好。
- 根据实际上下文选择数据库与 ORM。
- 不要任何场景都默认使用 PostgreSQL。
决策检查清单
在设计模式(Schema)之前:
- 是否已询问数据库偏好?
- 是否为当前上下文选择了合适的数据库?
- 是否考虑了部署环境?
- 是否规划了索引策略?
- 是否定义了关系类型?
反模式
[FAIL] 为简单应用默认使用 PostgreSQL(SQLite 可能已足够)
[FAIL] 忽略索引设计
[FAIL] 在生产环境中使用 SELECT *
[FAIL] 在结构化数据更优时强行存储 JSON
[FAIL] 忽略 N+1 查询问题
What ships with it
7 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.
- 1mo ago First seen · 55 lines · 30 tokens per session scan A a13f162269b9
database-design is a skill published in the GitHub repository MisonL/Ling (8 stars, last pushed 7mo ago), licensed MIT. It adds 30 tokens to every session and 468 once invoked, about $0.0001 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 2026-08-31.
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