SKILLEMALL.ai

AC jewelry-ad-compliance

珠宝行业营销文案合规审查。当用户需要审核珠宝或饰品类的宣传文案、商品详情页、直播话术、朋友圈或短视频文案、活动海报文案等是否违反广告法及行业监管规定时使用。自动加载红橙黄三级词库,扫描高危词(如国家级、第一)、中危词(如极致、完美)及珠宝专属风险点(纯度、功效、产地、促销话术等),结合上下文判定是否违规,并输出带三色标注的合规审查报告。触发词包括合规审查、广告法风险、审一下这段文案、珠宝文案合规。

ClawHub Agent Skills author: 好人 v1.0.0 MIT-0 3 files body ≈ 727 tokens Open the sourceclawhub.ai analyzed 2 d ago

珠宝行业营销文案合规审查。当用户需要审核珠宝或饰品类的宣传文案、商品详情页、直播话术、朋友圈或短视频文案、活动海报文案等是否违反广告法及行业监管规定时使用。自动加载红橙黄三级词库,扫描高危词(如国家级、第一)、中危词(如极致、完美)及珠宝专属风险点(纯度、功效、产地、促销话术等),结合上下文判定是否违规,并输出带三色…

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

ProcedureSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
75
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: 3. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

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 727 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 200: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 23 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.

External checks

ClawHub: suspicious
The skill is a coherent jewelry-ad compliance reviewer, but it asks the agent to persist reports and update its future review word library from user-provided complaint data without clear confirmation or controls.
LLM: suspicious (high) · VirusTotal: · 28 Jul 2026