BF 1688-product-selection
1688选品库MCP服务引导技能。当用户需要通过1688平台进行商品选品、爆品筛选、供应商评估、商品销量分析、热销榜单查询、类目浏览时触发此技能。本技能引导AI正确理解用户选品意图、选择合适的MCP工具、补全关键参数、并以视觉化方式（图片+表格+卡片）展示选品结果。触发本技能后，所有1688选品相关工具调用默认使用店雷达（dld MCP）连接器，工具包括 mcp__dld MCP__product_search_list、mcp__dld MCP__product_billboard_list、mcp__dld MCP__product_info、mcp__dld MCP__get_category_info、mcp__dld MCP__get_user_info。
1688选品库MCP服务引导技能。当用户需要通过1688平台进行商品选品、爆品筛选、供应商评估、商品销量分析、热销榜单查询、类目浏览时触发此技能。本技能引导AI正确理解用户选品意图、选择合适的MCP工具、补全关键参数、并以视觉化方式（图片+表格+卡片）展示选品结果。触发本技能后，所有1688选品相关工具调用默认使用店…
As a process F 28/100 · Will not run — References files that are not bundled: 图片URL
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: 图片URL - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 28/100
- 0Tools and files. 1 referenced file(s) missing: 图片URL
- 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
- 30Running it twice. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (1688-product-selection) differs from the folder (dld-skills)
- 100Steps. 76 steps
- 100Execution cost. Instruction body is 1927 tokens
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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 337: enough signal without eating the budget
- +4Structure: 21 headings
- +3Step-by-step instructions: 76 items
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.