SKILLEMALL.ai

AC info-card

生成小红书风格信息卡/知识卡片/海报 PNG 图片。22 种模板:杂志封面(magazine-cover)、科技知识卡(tech-knowledge)、 学术报告(academic-report)、产品功能(product-feature)、品牌调性(brand-mood)、清单打卡(checklist)、金句卡(quote-card)、 对比卡(comparison)、数据高亮(stats-highlight)、步骤指南(step-guide)、时间线(timeline)、人物简介(profile-card)、 推荐列表(rec-list)、问答卡(faq-card)、前后对比(before-after)、小贴士(tips-card)、日签(daily-card)、价格对比(pricing-table)、 深夜随笔(night-essay)、干货长文(article)、TOP盘点(listicle)、故事叙事(story-card)。 触发词:信息卡、小红书、知识卡片、海报、card、生成卡片、做一张图

ClawHub Agent Skills author: rivercrab26 v1.0.1 MIT-0 26 files body ≈ 2 955 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

TemplateWriting and documentsInfrastructureData and analyticstype 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
C
51/100
Has gaps
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: 26. 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 51/100

  • 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
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 46 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2955 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

  • +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
  • +1No license
  • +2Single-language instructions
  • +3Description length 459: enough signal without eating the budget
  • +4Structure: 26 headings
  • +3Step-by-step instructions: 46 items
  • +4Has examples (21 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

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

External checks

ClawHub: clean
This is a coherent local card-image generator, with some normal caution around Playwright, remote image URLs, and untrusted card data.
LLM: benign (high) · VirusTotal: · 29 May 2026