AC chinese-patent
从代码或技术方案出发，撰写符合 CNIPA 规范的中国专利申请文件。核心能力：① 扫描代码提取可专利特征并抽象提炼 ② 战略性权利要求布局（洋葱式防线 + 侵权规避视角）③ 生成完整专利文件（摘要、权利要求书、说明书）。支持发明专利和实用新型。融合 code-patent-scanner 代码分析方法 + CNIPA《专利审查指南》规范。触发词：专利、专利申请、发明专利、实用新型、权利要求书、说明书、专利撰写、patent、写专利、申请专利、扫描代码写专利。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureSoftware developmentInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - note
frontmatter-keyunknown frontmatter key "triggers"
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. 86 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1513 tokens
- 100Running it twice. No mutating operations
- low 16 top-level sections: this looks like several domains in one skill
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
- +2Single-language instructions
- +3Description length 231: enough signal without eating the budget
- +4Structure: 36 headings
- +3Step-by-step instructions: 86 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.
External checks
ClawHub: clean
The skill appears to be a Chinese patent drafting helper with overly broad activation wording, but no evidence of hidden execution, data theft, destructive behavior, or privileged access.
LLM: benign (medium) · VirusTotal: · 29 May 2026