SKILLEMALL.ai

AC xiwang-medical-content

烯旺集团石墨烯医疗科研成果智能检索与多类型文案自动生成技能。基于烯旺集团全套科研资料(企业介绍PPT、医疗研究文集摘要、热敏灸疗法资料、企业大事记),支持用户输入关键词自由检索科研成果,并自动生成视频号口播文案、小红书科普文案、公众号深度科普文案。所有内容严格依托资料库内科研成果,区分科研理论科普与产品物理特性介绍。触发词:烯旺医疗检索、石墨烯医疗文案、生成口播文案、石墨烯远红外科普、检索石墨烯研究、生成小红书文案、生成公众号文章、烯旺科研成果检索。

ClawHub Agent Skills author: ling61616161-dotcom v1.0.0 MIT-0 6 files body ≈ 1 041 tokens Open the sourceclawhub.ai analyzed 3 d ago

烯旺集团石墨烯医疗科研成果智能检索与多类型文案自动生成技能。基于烯旺集团全套科研资料(企业介绍PPT、医疗研究文集摘要、热敏灸疗法资料、企业大事记),支持用户输入关键词自由检索科研成果,并自动生成视频号口播文案、小红书科普文案、公众号深度科普文案。所有内容严格依托资料库内科研成果,区分科研理论科普与产品物理特性介绍。…

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

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
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

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: 6. 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. 44 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1041 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 227: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 44 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: suspicious
This is a text-only medical marketing skill, but it can generate public health content and treatment-style guidance without strong safety warnings or clinical boundaries.
LLM: suspicious (high) · VirusTotal: · 15 Jul 2026