BF store-location-analysis
开店选址综合分析助手。用户输入目标地址和开店类型，自动整合高德地图实时数据（地理编码、POI搜索、交通态势），从人流量、用户群体、客流特点、消费情况、竞品分析六大维度进行评估，生成交互式HTML可视化选址报告（含评分仪表盘、雷达图、竞品对比表、行动建议）。覆盖餐饮零售服务等全业态。触发词：开店选址、选址分析、店铺选址、选店面、开店评估、门店选址、帮我选店面、这地方能开店吗、开奶茶店选哪里、餐饮选址。
开店选址综合分析助手。用户输入目标地址和开店类型，自动整合高德地图实时数据（地理编码、POI搜索、交通态势），从人流量、用户群体、客流特点、消费情况、竞品分析六大维度进行评估，生成交互式HTML可视化选址报告（含评分仪表盘、雷达图、竞品对比表、行动建议）。覆盖餐饮零售服务等全业态。触发词：开店选址、选址分析、店铺选址…
As a process F 35/100 · Will not run — References files that are not bundled: scripts/analyze_location.py, scripts/generate_report.py
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: 0. 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: scripts/analyze_location.py - warning
missing-refreference to a missing file: scripts/generate_report.py - note
frontmatter-keyunknown frontmatter key "agent_created"
Process rating: all ten parameters 35/100
- 0Tools and files. 2 referenced file(s) missing: scripts/analyze_location.py, scripts/generate_report.py
- 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
- 100Steps. 40 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 859 tokens
- 100Running it twice. No mutating operations
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
- +1No license
- +2Single-language instructions
- +3Description length 201: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 40 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.