BF 1688-shop-health-check
1688 店铺生意体检。基于流量、询盘、成交、商品、客户、广告、风险七大维度进行全面健康诊断（成交维度覆盖成交、订单履约与买家评价，风险维度专注合规扣分），输出总结性结论 + HTML 网页数据报告，支持多店铺批量体检；报告后可基于优先行动建议展示可多选交互卡片，继续执行对应优化动作，并可按条件引导用户设置每日定时体检任务。 本 Skill 的完整流程（意图确认 → 七维度诊断 → 结论输出 → HTML 报告 → 行动项选择）已由 workflow `1688-shop-health-check` 编排覆盖，命中 whenToUse（店铺体检、健康检查、店铺诊断、店铺分析、经营分析、全面诊断、店铺经营状况、体检报告）时直接执行 workflow，不加载本 SKILL.md。
As a process F 34/100 · Will not run — References files that are not bundled: references/chart-bindbook.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 SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 78. 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
body-longSKILL.md body ≈ 5832 tokens (recommended < 5000); move details to references/ - warning
missing-refreference to a missing file: references/chart-bindbook.md
Process rating: all ten parameters 34/100
- 0Tools and files. 1 referenced file(s) missing: references/chart-bindbook.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
- 70Execution cost. Instruction body is 5832 tokens
- 100Steps. 103 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. No mutating operations
- low 13 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
- -38 of 9 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 342: enough signal without eating the budget
- +4Structure: 52 headings
- +3Step-by-step instructions: 103 items
- +4Has examples (8 code blocks)
- +4Reference files are cited in the instructions (3 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.