SKILLEMALL.ai

AC data-toolkit-free

数据工具箱免费版是一款面向个人开发者的数据全生命周期处置工具,覆盖数据提取、清洗变换、探索性剖析与基础可视化四大核心环节。Use when. 适用于需要data toolkit相关能力的开发场景,包含结构化的工作流程和可复用的模板,帮助用户快速完成任务并保持代码质量. 适用于需要data toolkit相关能力的开发场景,包含结构化的工作流程和配置指引.

ClawHub Hermes author: 天轰穿 v1.0.1 MIT-0 2 files body ≈ 1 734 tokens Open the sourceclawhub.ai analyzed 2 d ago

数据工具箱免费版是一款面向个人开发者的数据全生命周期处置工具,覆盖数据提取、清洗变换、探索性剖析与基础可视化四大核心环节。Use when.

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationPostgreSQLResearchData and analyticsPersonal productivitytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 0. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 178 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "displayName"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "edition"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "pricing_tier"

Process rating: all ten parameters 53/100

  • 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. Tools declared in frontmatter
  • 100Steps. 24 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1734 tokens
  • 100Running it twice. No mutating operations
  • low 11 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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 178: enough signal without eating the budget
  • +4Structure: 37 headings
  • +3Step-by-step instructions: 24 items
  • +4Has examples (14 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This data-analysis skill is a plain Markdown guide whose file, command, and output-writing permissions fit its stated purpose, with no hidden or deceptive behavior found.
LLM: benign (high) · VirusTotal: · 27 Jul 2026