AC evidence-based-labeling
构建、优化并应用证据化标签体系，适用于专利、科研文献、产品资料、技术情报、客户需求和其他结构化文本。可用于开放式标签发现、半开放标引、闭集标引、标签定义、默认或自定义判定规则、试标、Excel/CSV 全量标引、人工复核队列，以及借助智慧芽/PatSnap MCP 进行术语、样本、专利、文献和证据增强。
构建、优化并应用证据化标签体系，适用于专利、科研文献、产品资料、技术情报、客户需求和其他结构化文本。可用于开放式标签发现、半开放标引、闭集标引、标签定义、默认或自定义判定规则、试标、Excel/CSV 全量标引、人工复核队列，以及借助智慧芽/PatSnap MCP 进行术语、样本、专利、文献和证据增强。
As a process C 51/100 · 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: 23. 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 51/100
- 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
- 30Running it twice. 1 mutating operations with no state check
- 100Tools and files. No external tools needed
- 100Steps. 56 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1098 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 152: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 56 items
- +4Reference files are cited in the instructions (6 of 7)
- +3All 5 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.