SKILLEMALL.ai

BD linkpix-model-pose-set

根据一张服装模特图自动生成多种姿势及展示角度的套图,丰富商品展示效果,适用于服装详情页及社交媒体营销。当用户要求模特多姿势、多角度展示图、服装套图、一张模特图出一组时必须触发。关键词:LinkPix、qhkit、多姿势、姿势套图、多角度、模特套图、服装展示、详情页套图、社媒素材、pose。

ClawHub Agent Skills author: AutoAGC v0.1.5 MIT-0 2 files body ≈ 980 tokens Open the sourceclawhub.ai analyzed 2 d ago

根据一张服装模特图自动生成多种姿势及展示角度的套图,丰富商品展示效果,适用于服装详情页及社交媒体营销。当用户要求模特多姿势、多角度展示图、服装套图、一张模特图出一组时必须触发。关键词:LinkPix、qhkit、多姿势、姿势套图、多角度、模特套图、服装展示、详情页套图、社媒素材、pose。

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

ProcedureAI and agentsData and analyticsDesigntype and topics are labelled automatically from the skill text
JSON
Technical rating
B
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. 18 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 980 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 145: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 18 items
  • +4Has examples (4 code blocks)

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

External checks

ClawHub: suspicious
The skill is purpose-aligned for generating clothing model pose sets, but it asks agents to install and update an unpinned global npm CLI and handle an API token in ways users should review carefully.
LLM: suspicious (medium) · 8 Sept 2026