SKILLEMALL.ai

AB nl2sql

自然语言转 SQL 查询助手。将用户的自然语言描述转换为 SQL 语句,自动执行并返回结果。 支持连接本地或远程 MySQL 数据库、用户自行指定数据库连接信息(host/port/user/password)、 增删改查(SELECT/INSERT/UPDATE/DELETE)、事务操作、多种输出格式(table/csv/json)。 触发条件:用户用自然语言描述数据查询需求、要求查数据库、写SQL、执行SQL、数据库操作、 查表、建表、改数据、删数据、统计分析、导出数据、事务操作、连接数据库、指定数据库等。

ClawHub Agent Skills author: 沧海一声笑 v1.0.0 MIT-0 7 files · 4 scripts body ≈ 820 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 66/100 · Nearly there — weak spots: when it triggers, inputs and preconditions, running it twice

ReferenceMySQLInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
B
66/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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: 7. 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 66/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Failures and branches. 4 branches
  • 100Tools and files. No external tools needed
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 820 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
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 258: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 23 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 4 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

External checks

ClawHub: suspicious
This skill is a disclosed MySQL assistant, but it can run real database reads and writes with weak guardrails around credentials and mutations.
LLM: suspicious (high) · VirusTotal: · 29 May 2026