BC target-intelligence-zhcn
用户通常查询特定的生物医学靶点，可能包括相关的生物学和药学详情。 可能强调与靶点密切相关的实体、标签和信息。 返回的靶点情报报告应根据用户查询，在靶点本身详情之外，涵盖针对该靶点的药物信息。 当查询涉及以下内容时加载本技能： - 靶点结构与生物学功能 - 靶点管线的竞争情报 - 靶向药物的研发进展 - 靶点的成药性或可及性 - 靶向治疗的适应症 典型查询 - EGFR - 靶向 P53 的药物 - β-淀粉样蛋白的成药性 - 靶向 BRCA1 和 BRCA2 蛋白治疗的癌症
用户通常查询特定的生物医学靶点，可能包括相关的生物学和药学详情。 可能强调与靶点密切相关的实体、标签和信息。 返回的靶点情报报告应根据用户查询，在靶点本身详情之外，涵盖针对该靶点的药物信息。 当查询涉及以下内容时加载本技能： - 靶点结构与生物学功能 - 靶点管线的竞争情报 - 靶向药物的研发进展 -…
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. 68 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2203 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 241: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 68 items
- +4Has examples (9 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.