SKILLEMALL.ai

CD linkpix-marketing-assets

一站式生成电商营销素材:商品主图、场景图、详情页、促销海报、广告图片与广告视频,覆盖商品包装、活动推广和品牌营销。当用户要求做营销素材、广告素材、推广素材、投放素材、活动素材时必须触发。关键词:LinkPix、qhkit、营销素材、广告素材、推广素材、投放素材、信息流素材、活动素材、素材包、品牌营销、素材量产。

ClawHub Agent Skills author: AutoAGC v0.1.7 MIT-0 2 files body ≈ 945 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

一站式生成电商营销素材:商品主图、场景图、详情页、促销海报、广告图片与广告视频,覆盖商品包装、活动推广和品牌营销。当用户要求做营销素材、广告素材、推广素材、投放素材、活动素材时必须触发。关键词:LinkPix、qhkit、营销素材、广告素材、推广素材、投放素材、信息流素材、活动素材、素材包、品牌营销、素材量产。

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
D
46/100
Unfinished process
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

  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: 2. 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 "homepage"

Process rating: all ten parameters 46/100

  • 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
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 945 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 156: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (4 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
This skill has a coherent marketing-asset purpose, but it asks the agent to install and update mutable external tooling, alter the local runtime environment, and handle an API token in ways users should review carefully.
LLM: suspicious (high) · 8 Oct 2026