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BF linkfox-aigc-imagegen-product

商品图生成（非服饰类）。支持单张或套图：白底主图、场景图、特写图、卖点版式图、A+详情页图。单张单类型直接出图；多张多类型自动编排规划。用户说"做套图""做白底图""做场景图""做卖点图""做A+图""做特写图"时触发。纯图片编辑操作走 linkfox-aigc-imagegen。

ClawHub Agent Skills author: linkfox-ai v1.0.0 MIT-0 59 files body ≈ 2 856 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

商品图生成（非服饰类）。支持单张或套图：白底主图、场景图、特写图、卖点版式图、A+详情页图。单张单类型直接出图；多张多类型自动编排规划。用户说"做套图""做白底图""做场景图""做卖点图""做A+图""做特写图"时触发。纯图片编辑操作走 linkfox-aigc-imagegen。

As a process F 31/100 · Will not run — References files that are not bundled: abs_path, <abs_path>, references/types/<type>.md

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: abs_path, <abs_path>, references/types/<type>.md
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

The same skill appears in 1 more place: ClawHub

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: 38. 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: abs_path
  • warning missing-ref reference to a missing file: <abs_path>
  • warning missing-ref reference to a missing file: references/types/<type>.md
  • warning missing-ref reference to a missing file: scripts/...

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: abs_path, <abs_path>, references/types/<type>.md
  • 0Tools and files. 4 referenced file(s) missing: abs_path, <abs_path>, references/types/<type>.md
  • 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-product) differs from the folder (linkfox-expert-aigc-imagegen-product)
  • 100Steps. 43 steps
  • 100Execution cost. Instruction body is 2856 tokens
  • 100Running it twice. No mutating operations
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (10 tags): a typed call is more reliable

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 141: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 43 items
  • +4Has examples (3 code blocks)
  • +3All 5 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: suspicious
This product image skill is mostly coherent, but it needs Review because it can upload images, persist session data, handle credentials/payment onboarding, run broad local scripts, and contains biased human-depiction prompt rules.
LLM: suspicious (high) · 14 Aug 2026