AC patent-asset-grading
专利资产分级评审工具。用户批量输入专利申请号/公开号/公告号，自动调用智慧芽MCP获取专利数据，依据IPC分类自动识别所属行业，按行业差异化权重方案对技术关联性、权利要求强度、市场覆盖度、剩余保护期、被引用/交叉价值五个维度逐项打分，最终输出含等级（S/A/B/C/D）、各维度分值及评分依据的Word或Excel评审结果清单。
专利资产分级评审工具。用户批量输入专利申请号/公开号/公告号，自动调用智慧芽MCP获取专利数据，依据IPC分类自动识别所属行业，按行业差异化权重方案对技术关联性、权利要求强度、市场覆盖度、剩余保护期、被引用/交叉价值五个维度逐项打分，最终输出含等级（S/A/B/C/D）、各维度分值及评分依据的Word或Excel评审…
As a process C 53/100 · Has gaps — 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: 3. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 18 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 671 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 164: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 18 items
- +4Has examples (1 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.