AD yunlv-product-desc
Use when user needs to generate differentiated product descriptions for foreign trade. Use when creating product listings for B2B platforms, e-commerce sites, or catalogs. Use when translating and localizing product descriptions for international markets. Use when writing SEO-optimized product content for B2B export websites. Use when user mentions "产品描述", "产品文案", "差异化", "卖点提炼", "多语言产品", "B2B产品", "产品详情", "产品卖点", "product description".
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
How to improve
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- note
frontmatter-keyunknown frontmatter key "homepage" - note
frontmatter-keyunknown frontmatter key "progressive" - note
frontmatter-keyunknown frontmatter key "triggers"
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (yunlv-product-desc) differs from the folder (skill-product)
- 100Tools and files. No external tools needed
- 100Steps. 37 steps
- 100Execution cost. Instruction body is 1311 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
- +2Single-language instructions
- +3Description length 438: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 37 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.