SKILLEMALL.ai

BF chart-generator-2-0-0

|-。数据可视化出SVG图表,柱/线/饼图即需即出。Data visualization tool producing SVG charts。Use。Use when 需要数据分析、报表生成、统计洞察、数据可视化时使用。不适用于实时流数据处理。适用于独立开发者、企业团队和自动化工作流场景。支持中文交互,无需复杂配置即开即用。

ClawHub Hermes author: 天轰穿 v1.0.2 MIT-0 2 files body ≈ 1 546 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process F 35/100 · Will not run — References files that are not bundled: references/style.md, assets/output.json

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
83/100
safety, quality, tests
Safety 60%
100
Quality 40%
57
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/style.md, assets/output.json
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. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
  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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Block scalar header includes extra characters: |-。数据可视化出SVG图表,柱/线/饼图即需即出。Data at line 11, column 16: description: |-。数据可视化出SVG图表,柱/线/饼图即需即出。Data visualization tool producing SVG ch… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-long-hermes description is 163 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning missing-ref reference to a missing file: references/style.md
  • warning missing-ref reference to a missing file: assets/output.json
  • 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 "summary_zh"
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/style.md, assets/output.json
  • 0Tools and files. 2 referenced file(s) missing: references/style.md, assets/output.json
  • 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
  • 100Steps. 50 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1546 tokens
  • 100Running it twice. No mutating operations
  • low 19 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 163: enough signal without eating the budget
  • +4Structure: 40 headings
  • +3Step-by-step instructions: 50 items
  • +4Has examples (4 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.

External checks

ClawHub: suspicious
This chart-generation skill is not clearly malicious, but it asks for broad read/write/command authority and describes API, credential, file-processing, and command-execution behavior beyond a well-scoped SVG chart tool.
LLM: suspicious (high) · 2 Aug 2026