SKILLEMALL.ai

BF SQL Buddy / 自然语言 SQL 查询助手

Convert natural language to SQL, explore database schemas, execute queries safely, and get optimization suggestions.

ClawHub Agent Skills author: haidong v1.0.0 MIT-0 23 files body ≈ 1 202 tokens Open the sourceclawhub.ai analyzed 2 d ago

Convert natural language to SQL, explore database schemas, execute queries safely, and get optimization suggestions.

As a process F 28/100 · Will not run — References files that are not bundled: scripts/sql_validator.py

GeneratorPostgreSQLMySQLSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
54
Run on models
none yet
Process rating
F
28/100
Will not run
References files that are not bundled: scripts/sql_validator.py
Tools and files w 18
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.
  2. The text references files that are not there: add them or drop the references.
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: 23. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: scripts/sql_validator.py
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "input_schema"
  • note frontmatter-key unknown frontmatter key "output_schema"

Process rating: all ten parameters 28/100

Will not run. References files that are not bundled: scripts/sql_validator.py
  • 0Tools and files. 1 referenced file(s) missing: scripts/sql_validator.py
  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (SQL Buddy / 自然语言 SQL 查询助手) differs from the folder (sql-buddy)
  • 100Steps. 12 steps
  • 100Execution cost. Instruction body is 1202 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)
  • +3Description length 116: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (8 code blocks)
  • +3All 10 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 54.

External checks

ClawHub: suspicious
This database assistant is not malware, but it needs Review because it overstates safety while handling database credentials, write execution, schema metadata, and row samples in sensitive ways.
LLM: suspicious (high) · VirusTotal: · 16 Jun 2026