SKILLEMALL.ai

AC kwdb-performance-review

Optimize SQL query performance for KaiwuDB time-series and relational engines. Covers: EXPLAIN analysis, time-series optimization, pagination, cross-model queries. Trigger keywords: optimize query, slow query, explain, execution plan, performance, 性能, 查询优化. NOT for: DDL, schema design, deployment, DML writes.

ClawHub Agent Skills author: KWDB v1.2.1 MIT-0 14 files body ≈ 2 257 tokens Open the sourceclawhub.ai analyzed 2 d ago

Optimize SQL query performance for KaiwuDB time-series and relational engines.

As a process C 55/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, running it twice

AnalyzerInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
95
Run on models
none yet
Process rating
C
55/100
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

How to improve

    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: 14. 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 55/100

    • 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
    • 30Running it twice. 7 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 100Steps. 81 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2257 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 310: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 81 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (9 of 9)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 95.

    External checks

    ClawHub: suspicious
    This KWDB performance skill is mostly advisory, but it includes admin-level cluster setting and DDL examples despite also saying configuration and schema changes are out of scope.
    LLM: suspicious (medium) · 28 Aug 2026