SKILLEMALL.ai

BF cross-border-listing

跨境 Listing 生成器,为跨境电商产品自动生成多平台多语言的产品 Listing。覆盖 Amazon/Temu/Shopee/Lazada/速卖通/TikTok Shop 六大平台,支持英语、日语、西班牙语、德语、法语、韩语、葡萄牙语、中文等语言,自动生成 SEO 优化标题、五点描述、产品详情、搜索词及定价建议。触发词:生成Listing、写亚马逊Listing、Temu产品描述、Shopee标题优化、跨境产品上架、翻译Listing、速卖通描述、TikTok Shop产品页面、Lazada上架

ClawHub Agent Skills author: jiuwu2495 v1.0.1 MIT-0 2 files body ≈ 1 437 tokens Open the sourceclawhub.ai analyzed 2 d ago

跨境 Listing 生成器,为跨境电商产品自动生成多平台多语言的产品 Listing。覆盖 Amazon/Temu/Shopee/Lazada/速卖通/TikTok Shop 六大平台,支持英语、日语、西班牙语、德语、法语、韩语、葡萄牙语、中文等语言,自动生成 SEO…

As a process F 35/100 · Will not run — References files that are not bundled: references/amazon.md, references/temu.md, references/shopee.md

ProcedureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
59
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/amazon.md, references/temu.md, references/shopee.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

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: 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")
  • warning missing-ref reference to a missing file: references/amazon.md
  • warning missing-ref reference to a missing file: references/temu.md
  • warning missing-ref reference to a missing file: references/shopee.md
  • warning missing-ref reference to a missing file: references/lazada.md
  • warning missing-ref reference to a missing file: references/aliexpress.md
  • warning missing-ref reference to a missing file: references/tiktokshop.md
  • warning missing-ref reference to a missing file: references/keyword_strategy.md
  • warning missing-ref reference to a missing file: references/compliance.md
  • warning missing-ref reference to a missing file: references/examples.md
  • warning missing-ref reference to a missing file: references/troubleshooting.md
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/amazon.md, references/temu.md, references/shopee.md
  • 0Tools and files. 10 referenced file(s) missing: references/amazon.md, references/temu.md, references/shopee.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
  • 100Steps. 61 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1437 tokens
  • 100Running it twice. No mutating operations
  • low 10 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

  • +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 253: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 61 items
  • +4Has examples (2 code blocks)

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

External checks

ClawHub: clean
This is a non-executable helper for drafting cross-border e-commerce listings, with some accuracy and trademark caveats but no hidden access or unsafe behavior found.
LLM: benign (high) · VirusTotal: · 5 Jun 2026