SKILLEMALL.ai

BC disease-investigation-zhcn

综合学术文献、流行病学数据、临床指南、药物情报及临床试验报告,开展全面的疾病调研。 用户可能询问疾病发病机制、症状、药物干预、治疗方案、专利格局及商业发展机会。 当查询涉及以下内容时加载本技能: - 疾病病理与分子机制 - 疾病地区发病率与亚型 - 临床症状与诊断指标 - 治疗格局与药物研发管线 - 治疗领域的专利与知识产权分析 - 商业发展与交易情报 典型查询 - 非小细胞肺癌(NSCLC)的发病机制 - 流感的治疗方案 - 中国白血病的发病率 - 抑郁症的临床表现 - PD-1/PD-L1 专利格局 - 非小细胞肺癌的药物研发管线

ClawHub Agent Skills author: XK v1.0.3 MIT-0 2 files body ≈ 1 709 tokens Open the sourceclawhub.ai analyzed 3 d ago

综合学术文献、流行病学数据、临床指南、药物情报及临床试验报告,开展全面的疾病调研。 用户可能询问疾病发病机制、症状、药物干预、治疗方案、专利格局及商业发展机会。 当查询涉及以下内容时加载本技能: - 疾病病理与分子机制 - 疾病地区发病率与亚型 - 临床症状与诊断指标 - 治疗格局与药物研发管线 -…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

The same skill appears in 1 more place: ClawHub

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
  • 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-when description 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. 70 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1709 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 272: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 70 items
  • +4Has examples (6 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a disease research guide that openly relies on PatSnap's life-science MCP service and does not show hidden execution, persistence, or data misuse.
LLM: benign (high) · VirusTotal: · 29 May 2026