SKILLEMALL.ai

AD wc-cover-studio

公众号封面生成(WeChat cover studio)。当用户需要 公众号封面、封面图、文章配图、 设计封面、单图双用、微信封面、cover image、WeChat cover,或要为文章设计封面时触发。 工作流:读文章→定风格→选行业意象→生成1:1主图→PIL后处理,一次交付三种版式 (900×383头条 / 1080×1080方版 / 单图双用),单图双用通吃微信两种裁切比例, 中文标题100%无错字,内置程序化QA,适用所有公众号/自媒体创作者。

ClawHub Agent Skills author: jondeng11-creator v1.1.0 MIT-0 8 files body ≈ 1 415 tokens Open the sourceclawhub.ai analyzed 3 d ago

公众号封面生成(WeChat cover studio)。当用户需要 公众号封面、封面图、文章配图、 设计封面、单图双用、微信封面、cover image、WeChat cover,或要为文章设计封面时触发。 工作流:读文章→定风格→选行业意象→生成1:1主图→PIL后处理,一次交付三种版式 (900×383头条…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 8. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 49/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 3 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1415 tokens

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 231: enough signal without eating the budget
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: clean
This skill is a coherent WeChat cover generator that reads article/image inputs, calls image generation, and writes cover files as expected for its purpose.
LLM: benign (high) · VirusTotal: · 8 Aug 2026