SKILLEMALL.ai

AD pm-review

产品经理页面评审工具,用于评估网页或设计截图的产品质量。触发条件:用户要求评审页面、分析截图、评估设计、PM评审、产品评审、界面分析。支持两种输入方式:(1) 网址评审 - 通过 URL 评审在线页面 (2) 截图评审 - 通过图片文件评审设计稿。输出七维度专业评审报告(战略目标/用户体验/功能内容/数据度量/技术性能/市场竞品/迭代运营)。支持专项深度审查:颜色审查(六层模型)、排版审查、交互审查、无障碍审查(六层金字塔)、安全合规审查(七层模型)、性能优化审查(七层模型)。

ClawHub Agent Skills author: ZhenYangze v0.1.2 MIT-0 12 files body ≈ 1 074 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerInfrastructuretype 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
D
41/100
Unfinished process
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: 12. 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 41/100

  • 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
  • 40Consistency. Frontmatter name (pm-review) differs from the folder (pm-review-skill)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 69 steps
  • 100Execution cost. Instruction body is 1074 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 241: enough signal without eating the budget
  • +4Structure: 20 headings
  • +3Step-by-step instructions: 69 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (10 of 10)

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

External checks

ClawHub: clean
This is a coherent product/page review skill, with the main caution that it may use external web or image tools when reviewing URLs and screenshots.
LLM: benign (high) · VirusTotal: · 9 Jul 2026