SKILLEMALL.ai

AC marketing

市场营销技能套件:SEO内容优化、品牌调性审查、广告合规检查、活动策划、社媒热点追踪、竞品追踪、营销效果分析、营销文案。 SEO内容优化: 帮我看下SEO, 优化排名, SEO, 关键词优化, 搜索排名; 品牌调性审查: 品牌调性审查, 品牌调性, brand review, 品牌一致性; 广告合规检查: 帮我看下广告, 查下有没有违规词, 极限词, 广告法; 活动策划: 帮我策划个活动, 出个促销方案, 营销活动, campaign; 社媒热点追踪: 社媒热点追踪, 热点追踪, 社交监听; 竞品追踪: 竞品追踪, 竞品监控, 竞品动态; 营销效果分析: 营销效果分析, ROI, 获客成本; 营销文案: 帮我写个文案, 给我出个Slogan, 文案, copywriting, 营销文案。

ClawHub Agent Skills author: ebandao v0.1.0 MIT-0 11 files body ≈ 1 186 tokens Open the sourceclawhub.ai analyzed 3 d ago

市场营销技能套件:SEO内容优化、品牌调性审查、广告合规检查、活动策划、社媒热点追踪、竞品追踪、营销效果分析、营销文案。 SEO内容优化: 帮我看下SEO, 优化排名, SEO, 关键词优化, 搜索排名; 品牌调性审查: 品牌调性审查, 品牌调性, brand review, 品牌一致性; 广告合规检查…

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

AnalyzerMarketingtype 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: 11. 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. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1186 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 348: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)

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

External checks

ClawHub: suspicious
The skill is a coherent marketing assistant, but it needs Review because optional Notion and browser-plugin flows can persist or expose sensitive business and browsing data without clear confirmation boundaries.
LLM: suspicious (high) · 15 Aug 2026