SKILLEMALL.ai

AF html-report-generator

将任意输入自动分解成 5-15 个独立 HTML 报告页面,每页严格 1017×720px(对齐 PPT 画布 10.59"×7.499" @96dpi),深度拆解 3-6 个子维度,每维度精炼 60-100 字 + 支撑图表。当用户说"生成报告"、"分析内容做成页面"、"做成HTML"、"内容可视化"时立即使用,无需确认直接生成。

ClawHub Agent Skills author: panhongwei v1.0.0 MIT-0 12 files body ≈ 773 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 31/100 · Will not run — weak spots: steps, result and completion, when it triggers

GeneratorData and analyticsInfrastructuretype 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
31/100
Will not run
Steps w 15
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.
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: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 31/100

  • 0Steps. Prose only: no discrete steps
  • 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
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 773 tokens
  • 100Running it twice. No mutating operations

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 167: enough signal without eating the budget
  • +4Structure: 12 headings
  • +4Has examples (6 code blocks)
  • +4Reference files are cited in the instructions (10 of 10)

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

External checks

ClawHub: clean
The skill appears to be a report and diagram-generation helper with an optional web-search fallback, which is a privacy consideration but not evidence of malicious behavior.
LLM: benign (medium) · VirusTotal: · 29 May 2026