SKILLEMALL.ai

BD 药物经济学评价

该技能包提供进行药物经济学评价的综合指导与工具,涵盖成本 - 效果分析、成本 - 效用分析、成本 - 效益分析、敏感性分析及模型构建。当您需要进行以下工作时,请使用此技能:对医疗保健干预措施进行经济学评价;分析治疗成本与产出结果;构建决策分析模型(如马尔可夫模型、决策树模型、离散事件模拟模型);依据中国指南撰写药物经济学报告。本技能包适用于从事卫生技术评估(HTA)项目的研究人员、卫生经济学家及医药行业专业人士。

ClawHub Agent Skills author: tlb1201 v1.0.4 MIT-0 14 files body ≈ 2 002 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
D
41/100
Unfinished process
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

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: 14. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 41/100

  • 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
  • 40Consistency. Frontmatter name (药物经济学评价) differs from the folder (pharmacoeconomic-skill-chinese)
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 172 steps
  • 100Execution cost. Instruction body is 2002 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
  • -31 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 208: enough signal without eating the budget
  • +4Structure: 41 headings
  • +3Step-by-step instructions: 172 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (2 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.

External checks

ClawHub: clean
The artifacts appear to be coherent ClawHub registry and maintainer tooling, with powerful actions documented rather than hidden.
LLM: benign (medium) · VirusTotal: · 29 May 2026