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BF health-ai-applications

AI赋能大健康行业应用技能。为大健康企业提供5层9域62个任务的任务清单与五字段组件清单（必选组件/可选组件/组装顺序/合规约束/格式），涵盖内容创作层（新媒体文案/图片海报/品宣视频）、设计应用层（包装设计/物料设计）、数字营销层（官网优化）、运营管理层（业务管理/售后回复）、教育培训层（课件设计）。每个任务含六类标记的组装顺序、自动化注释、创新方向建议、具体法规合规约束和明确输出格式。支持清单法和样本法两种消费方式，附带问卷驱动的企业定制能力。

ClawHub Agent Skills author: 波动几何 v1.0.3 MIT-0 14 files body ≈ 792 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

AI赋能大健康行业应用技能。为大健康企业提供5层9域62个任务的任务清单与五字段组件清单（必选组件/可选组件/组装顺序/合规约束/格式），涵盖内容创作层（新媒体文案/图片海报/品宣视频）、设计应用层（包装设计/物料设计）、数字营销层（官网优化）、运营管理层（业务管理/售后回复）、教育培训层（课件设计）。每个任务含六类…

As a process F 35/100 · Will not run — References files that are not bundled: references/health-ai-requirements.md

ProcedureAI and agentsCustomer supporttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
35/100
Will not run
References files that are not bundled: references/health-ai-requirements.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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 description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: references/health-ai-requirements.md

Process rating: all ten parameters 35/100

Will not run. References files that are not bundled: references/health-ai-requirements.md
  • 0Tools and files. 1 referenced file(s) missing: references/health-ai-requirements.md
  • 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
  • 100Steps. 20 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 792 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
  • -219 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 226: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 20 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

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

External checks

ClawHub: suspicious
The skill is mostly a coherent health-industry workflow reference, but it tells the agent to automatically install and load another skill and gives under-scoped guidance around customer and business data.
LLM: suspicious (high) · VirusTotal: · 14 Jun 2026