BF 1688-shop-crm-customer-filter
1688 店铺 CRM 客户智能筛选 Skill。支持按标签、金额、活跃度、采购意愿、自定义属性等条件筛选客户，支持排序、分页、统计，以及查看和新增自定义属性。 触发词：筛选客户、查找客户、客户列表、询盘未转化、询盘未成交、有成交客户、新增字段、自定义属性、帮我找客户、我的客户。
1688 店铺 CRM 客户智能筛选 Skill。支持按标签、金额、活跃度、采购意愿、自定义属性等条件筛选客户，支持排序、分页、统计，以及查看和新增自定义属性。 触发词：筛选客户、查找客户、客户列表、询盘未转化、询盘未成交、有成交客户、新增字段、自定义属性、帮我找客户、我的客户。
As a process F 40/100 · Will not run — References files that are not bundled: references/capabilities/alibaba.1688.customer.list.md, references/capabilities/alibaba.1688.customer.attr.field.config.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: 22. 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/alibaba.1688.customer.list.md - warning
missing-refreference to a missing file: references/capabilities/alibaba.1688.customer.attr.field.config.md
Process rating: all ten parameters 40/100
- 0Tools and files. 2 referenced file(s) missing: references/capabilities/alibaba.1688.customer.list.md, references/capabilities/alibaba.1688.customer.attr.field.config.md
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 50 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2000 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
- -41 reference files, but SKILL.md never points to them: the model will not open them
- -36 of 6 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 140: enough signal without eating the budget
- +4Structure: 23 headings
- +3Step-by-step instructions: 50 items
- +4Has examples (10 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.