BD opportunities
技术方向专利机会评估与报告生成 Skill。输入细分技术方向或具体技术方案，自动调用智慧芽专利检索、趋势分析、子技术方向统计等 MCP 工具，生成含交互式 ECharts 图表的多页面 HTML 报告、JSON 中间数据和 CSV 证据链，最终给出研发/投资机会评分与明确建议。本 Skill 不使用 Python，所有文件通过 MCP 和文件写入能力生成。
技术方向专利机会评估与报告生成 Skill。输入细分技术方向或具体技术方案，自动调用智慧芽专利检索、趋势分析、子技术方向统计等 MCP 工具，生成含交互式 ECharts 图表的多页面 HTML 报告、JSON 中间数据和 CSV 证据链，最终给出研发/投资机会评分与明确建议。本 Skill 不使用…
As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 21. 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") - note
frontmatter-keyunknown frontmatter key "copyright"
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 130 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1760 tokens
- 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
- -216 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 179: enough signal without eating the budget
- +4Structure: 40 headings
- +3Step-by-step instructions: 130 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.