SKILLEMALL.ai

BC company-profiling-zhcn

基于海量制药数据,精准高效地提取和分析情报,为用户提供专业的公司画像及投资/合作建议。 当用户询问某制药公司情况时应调用本技能,涉及以下内容: 1、公司概况 2、公司融资历史分析 3、公司管线分析 4、公司药物交易分析 5、公司在特定领域的重要专利布局 典型查询 - 给我介绍一下 Arrowhead Pharmaceuticals - BioNTech 的研发管线是什么? - 分析罗氏在小核酸技术领域的专利布局 - 辉瑞过去两年做了哪些 BD 交易? - 告诉我 Moderna 的融资历史

ClawHub Agent Skills author: XK v1.0.3 MIT-0 2 files body ≈ 1 583 tokens Open the sourceclawhub.ai analyzed 3 d ago

基于海量制药数据,精准高效地提取和分析情报,为用户提供专业的公司画像及投资/合作建议。 当用户询问某制药公司情况时应调用本技能,涉及以下内容: 1、公司概况 2、公司融资历史分析 3、公司管线分析 4、公司药物交易分析 5、公司在特定领域的重要专利布局 典型查询 - 给我介绍一下 Arrowhead…

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. 39 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1583 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 249: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 39 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 disclosed PatSnap pharmaceutical company research workflow, with expected use of PatSnap MCP services and optional web search.
LLM: benign (high) · VirusTotal: · 29 May 2026