SKILLEMALL.ai

BD database-optimization

数据库性能优化专家技能。涵盖 SQL 查询优化、索引策略设计、查询计划分析、ORM 优化、连接池调优。支持 PostgreSQL、MySQL、SQLite。当用户遇到:慢查询、数据库性能问题、需要设计索引、分析查询计划、优化 SQL 语句、解决 N+1 查询问题、调优连接池、分析数据库锁、优化 ORM 查询、数据库监控诊断时,立即使用此技能。即使用户只说'查询很慢'、'加个索引'、'SQL 优化'、'数据库卡了',也应触发此技能。

ClawHub Agent Skills author: paudyyin v1.0.0 MIT-0 2 files body ≈ 2 955 tokens Open the sourceclawhub.ai analyzed 13 h ago

数据库性能优化专家技能。涵盖 SQL 查询优化、索引策略设计、查询计划分析、ORM 优化、连接池调优。支持 PostgreSQL、MySQL、SQLite。当用户遇到:慢查询、数据库性能问题、需要设计索引、分析查询计划、优化 SQL 语句、解决 N+1 查询问题、调优连接池、分析数据库锁、优化 ORM…

As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

ReferencePostgreSQLMySQLSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
67
Run on models
none yet
Process rating
D
38/100
Unfinished process
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

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: 1. 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 38/100

  • 0Steps. Prose only: no discrete steps
  • 0Result and completion. Does not say what the result is
  • 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
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2955 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill

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)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • -221 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 217: enough signal without eating the budget
  • +4Structure: 34 headings
  • +4Has examples (25 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This is a disclosed database-optimization reference skill with no executable code, hidden behavior, or data export behavior found.
LLM: benign (high) · VirusTotal: · 27 Jun 2026