AC db-tester
Database testing for data integrity, SQL validation, migration verification, and performance. Test CRUD operations, constraints, transactions, stored procedures, and data consistency across MySQL, PostgreSQL, SQLite, and other RDBMS. Use when: (1) validating database operations, (2) testing data migrations, (3) checking constraints and triggers, (4) verifying data consistency after API calls, (5) writing SQL test scripts, (6) database performance testing (slow queries), (7) "数据库测试", "SQL验证", "数据一致性", "迁移测试", "数据校验", "存储过程测试", "数据库性能", "慢查询". NOT for: database administration (use DBA tools), schema design (use modeling tools), or ORM/application code testing (use api-tester or unit tests).
As a process C 52/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
How to improve
- 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 52/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 2 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 7 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1958 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
- +3Output format is not stated: the model decides each time
- -212 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 697: enough signal without eating the budget
- +4Structure: 18 headings
- +3Step-by-step instructions: 7 items
- +4Has examples (10 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.