SKILLEMALL.ai

BC patent-quality-review-pro

专利申请文件质量审核工具(全量指标版)。上传PDF或Word版专利申请文件,自动对全部评审指标进行统一评审(无重点/非重点分档),结合复审无效实践中的常见决定要点辅助判断,并生成标准格式《专利申请文件质量评价表》Word文件(主表+附表1,两页分页)。支持化学/机械/电学/通用四领域AHP权重方案自动切换;权利稳定性须显式加载 novelty-check 与 non-obviousness-check。

ClawHub Agent Skills author: yuanzhian-patsnap v1.0.0 MIT-0 9 files body ≈ 1 439 tokens Open the sourceclawhub.ai analyzed 3 d ago

专利申请文件质量审核工具(全量指标版)。上传PDF或Word版专利申请文件,自动对全部评审指标进行统一评审(无重点/非重点分档),结合复审无效实践中的常见决定要点辅助判断,并生成标准格式《专利申请文件质量评价表》Word文件(主表+附表1,两页分页)。支持化学/机械/电学/通用四领域AHP权重方案自动切换;权利稳定性…

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

AnalyzerWordSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
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: 9. 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 "copyright"

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. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1439 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
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • -32 of 4 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 203: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.

External checks

ClawHub: clean
This is a disclosed patent-review report generator with a minor, documented convenience behavior that opens the output folder after creating the Word file.
LLM: benign (high) · VirusTotal: · 13 Aug 2026