BF patent-application-evaluation-assistant
面向企业 IPR、专利工程师、专利代理人的专利申请预评估智能体。当用户需要评估专利申请可行性、分析技术交底书、进行专利预评估或查新检索时触发。基于技术交底书或研发资料，自动完成材料完整性检查、专利及非专利文献查新、中美欧授权可行性分析，输出 A/B/C 评级、评分依据、主要风险和处理建议。
面向企业 IPR、专利工程师、专利代理人的专利申请预评估智能体。当用户需要评估专利申请可行性、分析技术交底书、进行专利预评估或查新检索时触发。基于技术交底书或研发资料，自动完成材料完整性检查、专利及非专利文献查新、中美欧授权可行性分析，输出 A/B/C 评级、评分依据、主要风险和处理建议。
As a process F 35/100 · Will not run — References files that are not bundled: 智慧芽链接
AnalyzerAI and agentsSoftware developmentWriting and documentstype 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.
- The text references files that are not there: add them or drop the references.
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: 4. 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") - warning
missing-refreference to a missing file: 智慧芽链接 - note
frontmatter-keyunknown frontmatter key "copyright"
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: 智慧芽链接
- 0Tools and files. 1 referenced file(s) missing: 智慧芽链接
- 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
- 100Steps. 109 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3649 tokens
- 100Running it twice. No mutating operations
- low 11 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
- -238 emoji in the instructions: noise for the model
- -42 reference files, but SKILL.md never points to them: the model will not open them
- +1No license
- +2Single-language instructions
- +3Description length 145: enough signal without eating the budget
- +4Structure: 58 headings
- +3Step-by-step instructions: 109 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 59.
External checks
ClawHub: suspicious
The skill fits its patent-evaluation purpose, but it handles very sensitive invention materials with insufficient confidentiality and data-minimization guidance.
LLM: suspicious (medium) · VirusTotal: · 13 Aug 2026