BC biomarker-investigation-zhcn
根据查询搜索与生物标志物相关的学术和专利文献。 当查询涉及以下内容时加载本技能： - 提及特定生物标志物 - 某疾病是否有可用的生物标志物 - 与生物标志物相关的技术和专利 典型查询 - 肌酐可以作为哪些疾病的生物标志物？ - 搜索心血管疾病的生物标志物 - CAR-T 疗法的生物标志物 - 搜索以转氨酶作为诊断标志物的临床试验
根据查询搜索与生物标志物相关的学术和专利文献。 当查询涉及以下内容时加载本技能： - 提及特定生物标志物 - 某疾病是否有可用的生物标志物 - 与生物标志物相关的技术和专利 典型查询 - 肌酐可以作为哪些疾病的生物标志物？ - 搜索心血管疾病的生物标志物 - CAR-T 疗法的生物标志物 -…
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
The same skill appears in 1 more place: ClawHub
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: 2. 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")
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. 48 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1665 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
- +2Single-language instructions
- +3Description length 167: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 48 items
- +4Has examples (10 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.