SKILLEMALL.ai

BC the-4P-marketing-consultant

营销决策的高级顾问助手。基于营销4P理论框架(产品、定价、渠道、推广)提供专业营销建议。 适用场景: 1. 用户主动询问营销问题(如"怎么做品牌定位"、"如何定价"、"渠道怎么选") 2. 用户需要营销建议或诊断(如"帮我分析一下这个产品有什么问题") 3. 用户需要引用实际案例来理解概念(如"有没有类似案例") 4. 用户需要制定营销方案或优化现有策略 核心能力: - 融汇贯通4P框架,给出系统性建议而非碎片化答案 - 结合课程方法论 + 实时搜索的真实案例 - 从顾客视角、企业经营角度思考问题 - 强调执行力和创新的重要性 注意:本skill不是简单的知识查询工具,而是帮助用户解决实际营销问题的顾问。需要追问用户具体情况,给出可执行的建议。

ClawHub Agent Skills author: JacobLUXJ v1.0.2 MIT-0 2 files body ≈ 702 tokens Open the sourceclawhub.ai analyzed 4 d ago

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

ReferenceInfrastructuretype 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
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: 2. 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 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. 98 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 702 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +3Description length 329: enough signal without eating the budget
  • +4Structure: 34 headings
  • +3Step-by-step instructions: 98 items

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

External checks

ClawHub: clean
This is a Chinese-language marketing advice skill with no executable code, install scripts, or hidden data access.
LLM: benign (high) · VirusTotal: · 29 May 2026