BF 1688-supplychain-order-inquiry
跨平台供应链助手Skill，含两大能力域：①订单询盘——对指定订单/采购单发起询盘（支持单个或多个订单同问题）、查询商家回复、对话配置；②商品SKU提取——从 Shopify / AliExpress 商品链接提取全部 SKU 变体，输出含 image（原图链接）与 query（SKU 属性组合）的 JSON 数组。 订单询盘触发词：询盘、询价、议价、帮我问商家、订单/采购单、发货时间、什么时候发货、发货了吗、催发货、物流单号、快递单号、运单号、物流跟踪、超时未发货、商家回复、询盘结果、总结商家回复。 SKU提取触发词：提取SKU、获取SKU、提取变体、变体规格、SKU信息、Shopify商品信息、AliExpress商品信息、AE链接提取、速卖通SKU。
跨平台供应链助手Skill，含两大能力域：①订单询盘——对指定订单/采购单发起询盘（支持单个或多个订单同问题）、查询商家回复、对话配置；②商品SKU提取——从 Shopify / AliExpress 商品链接提取全部 SKU 变体，输出含 image（原图链接）与 query（SKU 属性组合）的 JSON…
As a process F 33/100 · Will not run — References files that are not bundled: references/capabilities/<command>.md, references/capabilities/sku_extract_*.md
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: 36. 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: references/capabilities/<command>.md - warning
missing-refreference to a missing file: references/capabilities/sku_extract_*.md
Process rating: all ten parameters 33/100
- 0Tools and files. 2 referenced file(s) missing: references/capabilities/<command>.md, references/capabilities/sku_extract_*.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
- 30Running it twice. 1 mutating operations with no state check
- 100Steps. 36 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2444 tokens
- low 12 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (9 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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- -38 of 8 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 332: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 36 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.