SKILLEMALL.ai

BF linkfox-aigc-imagegen-mannequin-to-model

人台换模特图生成。传入人台图(dress form / mannequin)+ 可选模特/背景参考图,生成真人模特穿着该服装的电商展示图。仅处理人台图输入;平铺图或已有模特图走 linkfox-aigc-imagegen-cloth(type=MODEL_IMAGE)。

ClawHub Agent Skills author: linkfox-ai v1.0.0 MIT-0 24 files body ≈ 1 478 tokens Open the sourceclawhub.ai analyzed 4 d ago

人台换模特图生成。传入人台图(dress form / mannequin)+ 可选模特/背景参考图,生成真人模特穿着该服装的电商展示图。仅处理人台图输入;平铺图或已有模特图走 linkfox-aigc-imagegen-cloth(type=MODELIMAGE)。

As a process F 31/100 · Will not run — References files that are not bundled: scripts/..., templates/mannequin.txt

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: scripts/..., templates/mannequin.txt
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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")
  • warning missing-ref reference to a missing file: scripts/...
  • warning missing-ref reference to a missing file: templates/mannequin.txt

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: scripts/..., templates/mannequin.txt
  • 0Tools and files. 2 referenced file(s) missing: scripts/..., templates/mannequin.txt
  • 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
  • 40Consistency. Frontmatter name (linkfox-aigc-imagegen-mannequin-to-model) differs from the folder (linkfox-expert-aigc-imagegen-mannequin-to-model)
  • 100Steps. 37 steps
  • 100Execution cost. Instruction body is 1478 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
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 135: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 37 items
  • +4Has examples (5 code blocks)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
This appears to be a working mannequin-to-model image skill, but it bundles broader generation, public upload, credential onboarding, and payment flows that need review before installation.
LLM: suspicious (high) · 14 Aug 2026