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BC database-schema-designer

新项目建表拍脑袋，上线后慢查询满天飞？从需求到ER图到DDL到迁移策略，设计生产级数据库架构。覆盖规范化建模、索引策略、多租户设计、分库分表、向量数据库集成。支持MySQL/PostgreSQL/MongoDB/Redis/Milvus。 触发词：数据库设计、表结构设计、schema设计、ER图、建表、数据库建模、索引优化、数据库架构、数据模型、范式、反范式、分库分表、数据库迁移、DDL、数据库审查、多租户设计、向量数据库、RAG存储、信用评估系统、交易系统数据库 排除：SQL查询优化（用python-data-analysis）、ORM代码生成、数据库运维（用docker-deploy-assistant）

ClawHub Agent Skills author: qqyougitcom v1.4.0 MIT-0 3 files body ≈ 739 tokens Open the sourceclawhub.ai↗ analyzed 33 h ago

新项目建表拍脑袋，上线后慢查询满天飞？从需求到ER图到DDL到迁移策略，设计生产级数据库架构。覆盖规范化建模、索引策略、多租户设计、分库分表、向量数据库集成。支持MySQL/PostgreSQL/MongoDB/Redis/Milvus。…

As a process C 54/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

AnalyzerPostgreSQLMongoDBDockerAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
70
Run on models
none yet
Process rating
C
54/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 54/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (database-schema-designer) differs from the folder (mimo-database-schema-designer)
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 46 steps
  • 100Execution cost. Instruction body is 739 tokens

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 308: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 46 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.

External checks

ClawHub: clean
This is a static database-design guidance skill that helps generate schemas, indexes, and migration templates without hidden execution or credential use.
LLM: benign (high) · VirusTotal: · 19 Jun 2026