SKILLEMALL.ai

AC wx-huitu

公众号数据绘图专家。输入文章或数据描述,输出PNG图表包。当用户说'文章绘图'/'绘图图表'/'画个图表'/'数据图'/'公众号图表'时触发。18种版式(C01-C18),三轴决策+8条拦截规则,生成HTML+Puppeteer截图。可选飞书云盘同步(需用户确认)。Do NOT use for 封面/封底/金句图/杂志版式/全文配图/代码编辑.

ClawHub Agent Skills author: AI花生 v2.2.0 MIT-0 7 files body ≈ 1 854 tokens Open the sourceclawhub.ai analyzed 2 d ago

公众号数据绘图专家。输入文章或数据描述,输出PNG图表包。当用户说'文章绘图'/'绘图图表'/'画个图表'/'数据图'/'公众号图表'时触发。18种版式(C01-C18),三轴决策+8条拦截规则,生成HTML+Puppeteer截图。可选飞书云盘同步(需用户确认)。Do NOT use for…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

ProcedurePlaywrightData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
98
Quality 40%
90
Run on models
none yet
Process rating
C
57/100
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

    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 · 2

    ✓ No critical or high findings

    Medium and low: 2
    • low Risky intent intent-offensive-security CHANGELOG.md:10
      Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
      - **Chrome detection ordering**: Fixed-path detection now primary, registry query demoted to fallback. Added security note explaining --no-sandbox is a Puppeteer headless technical requirement, not pr
    • low Dangerous commands cmd-privilege references/workflow.md:301
      Privilege escalation / world-writable permissions (detector / deny-list definition)
      args: ['--no-sandbox','--disable-setuid-sandbox','--disable-gpu']
      detector

    Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "slug"
    • note frontmatter-key unknown frontmatter key "displayName"
    • note frontmatter-key unknown frontmatter key "summary"

    Process rating: all ten parameters 57/100

    • 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
    • 50When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Steps. 17 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1854 tokens
    • 100Running it twice. No mutating operations
    • low 10 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
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 173: enough signal without eating the budget
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 17 items
    • +4Has examples (9 code blocks)
    • +4Reference files are cited in the instructions (3 of 3)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This appears to be a chart-rendering skill whose file creation, browser rendering, font fetching, and optional upload behavior fit its stated purpose.
    LLM: benign (medium) · VirusTotal: · 14 Jul 2026