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BF ecommerce-product-info-generator

产品卖点基础信息生成器（国际化电商视频管线 Skill1）。接收产品图片和商品信息，自动识别产品类别、凝练结构化卖点、推断适用人群和场景，生成产品白底图（product_layer.png）和结构化卖点数据（selling_points.json）。当用户上传产品图片、要求"分析这个产品""提取卖点""生成产品信息"时触发。

ClawHub Agent Skills author: BStory28 v0.1.5 MIT-0 2 files body ≈ 7 013 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

产品卖点基础信息生成器（国际化电商视频管线…

As a process F 34/100 · Will not run — References files that are not bundled: scripts/jeecg_auth.py, scripts/generate_base_image.py

GeneratorSoftware developmentMarketingMedia and videotype 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
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
59
Run on models
none yet
Process rating
F
34/100
Will not run
References files that are not bundled: scripts/jeecg_auth.py, scripts/generate_base_image.py
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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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: 1. 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 body-long SKILL.md body ≈ 7013 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: scripts/jeecg_auth.py
  • warning missing-ref reference to a missing file: scripts/generate_base_image.py

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: scripts/jeecg_auth.py, scripts/generate_base_image.py
  • 0Tools and files. 2 referenced file(s) missing: scripts/jeecg_auth.py, scripts/generate_base_image.py
  • 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
  • 70Execution cost. Instruction body is 7013 tokens
  • 100Steps. 45 steps
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. No mutating operations
  • low 11 top-level sections: this looks like several domains in one skill

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 163: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 45 items
  • +4Has examples (29 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.

External checks

ClawHub: clean
This skill is a disclosed e-commerce product-analysis helper that may create local output files and use configured image-generation API credentials.
LLM: benign (medium) · VirusTotal: · 1 Jul 2026