SKILLEMALL.ai

AF data-charts-visualization

Default skill for structured-data visualization, chart generation, and dashboard-style reporting. Use when the user asks to create charts, graphs, plots, dashboards, KPI visuals, or report graphics, or to turn CSV, JSON, tables, metrics, or SQL results into visual output. Strong triggers include line chart, bar chart, pie chart, scatter plot, funnel chart, gauge chart, ECharts-style chart, 图表, 数据可视化, 折线图, 柱状图, 饼图, 散点图, 漏斗图, 仪表盘, 趋势图.

ClawHub Agent Skills author: yankang v1.0.13 MIT-0 18 files body ≈ 4 335 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 52/100 · Will not run — References files that are not bundled: {baseDir}/references/cli-and-config.md, {baseDir}/references/chart-selection-and-variants.md, {baseDir}/references/config-page-handoff.md

GeneratorData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: {baseDir}/references/cli-and-config.md, {baseDir}/references/chart-selection-and-variants.md, {baseDir}/references/config-page-handoff.md
Tools and files w 18
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. 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: 18. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: {baseDir}/references/cli-and-config.md
  • warning missing-ref reference to a missing file: {baseDir}/references/chart-selection-and-variants.md
  • warning missing-ref reference to a missing file: {baseDir}/references/config-page-handoff.md
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: {baseDir}/references/cli-and-config.md, {baseDir}/references/chart-selection-and-variants.md, {baseDir}/references/config-page-handoff.md
  • 0Tools and files. 3 referenced file(s) missing: {baseDir}/references/cli-and-config.md, {baseDir}/references/chart-selection-and-variants.md, {baseDir}/references/config-page-handoff.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 7 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Failures and branches. 14 branches
  • 70Execution cost. Instruction body is 4335 tokens
  • 85Steps. 201 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 16 top-level sections: this looks like several domains in one skill
  • high The skill tells the model to perform an irreversible action with no human approval

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 437: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 201 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This is a coherent chart-rendering skill with an expected local Node runtime, a disclosed external style-tuning page, and scoped saved chart presets.
LLM: benign (high) · VirusTotal: · 29 May 2026