SKILLEMALL.ai

BD qinghu-product-swap

一键替换图片中的商品主体,自动保留场景、构图及光影效果,大幅提升商品素材复用效率。当用户要求把图里的商品换成另一个商品、场景图复用给新品、替换产品主体时必须触发。关键词:青虎AI、qhkit、产品替换、商品替换、换商品、主体替换、场景复用、素材复用、新品套用老图。

ClawHub Agent Skills author: AutoAGC v0.1.0 MIT-0 2 files body ≈ 909 tokens Open the sourceclawhub.ai analyzed 3 d ago

一键替换图片中的商品主体,自动保留场景、构图及光影效果,大幅提升商品素材复用效率。当用户要求把图里的商品换成另一个商品、场景图复用给新品、替换产品主体时必须触发。关键词:青虎AI、qhkit、产品替换、商品替换、换商品、主体替换、场景复用、素材复用、新品套用老图。

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

ReferenceInfrastructuretype 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. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 909 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 132: enough signal without eating the budget
  • +4Structure: 7 headings
  • +3Step-by-step instructions: 19 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 does what it says, but it tells the agent to automatically install and upgrade an unpinned global npm CLI that can run code and persist beyond the immediate image task.
LLM: suspicious (high) · 8 Sept 2026