BF enterprise-ai-opportunity-advisor-zh
为中国企业做 AI 与自动化落地机会初诊，并生成 Markdown、HTML、PDF 三种管理层报告。根据企业介绍、组织架构、岗位说明、招聘 JD、SOP、日报、表格、系统清单和用户确认信息，先建立事实底稿，再拆解具体任务，比较流程优化、传统自动化、BI、OCR、知识库、Copilot、Agent、视觉或语音 AI，最后筛选最多三个可验证项目。适用于企业 AI 落地诊断、试点优先级、需求发现、免费咨询前的材料分析；不得编造企业事实、ROI、开发价格或裁员结论，高风险决定必须保留人工复核。
为中国企业做 AI 与自动化落地机会初诊，并生成 Markdown、HTML、PDF 三种管理层报告。根据企业介绍、组织架构、岗位说明、招聘 JD、SOP、日报、表格、系统清单和用户确认信息，先建立事实底稿，再拆解具体任务，比较流程优化、传统自动化、BI、OCR、知识库、Copilot、Agent、视觉或语音…
As a process F 33/100 · Will not run — References files that are not bundled: assets/report-theme.css
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: 15. 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: assets/report-theme.css - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "summary"
Process rating: all ten parameters 33/100
- 0Tools and files. 1 referenced file(s) missing: assets/report-theme.css
- 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. 38 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 842 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
- +2Single-language instructions
- +3Description length 246: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 38 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (5 of 5)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.