BC linkfox-expert-ip-patent-copyright-search
用户提供产品图片或亚马逊 ASIN，全方位查询知识产权风险——外观专利、实用新型/发明专利、文字商标、图形商标、版权、政策合规六维度全覆盖，并对检测到的专利进一步查询法律状态、权利要求、同族、引用关系等深度信息，最终输出结构化 HTML 报告。
用户提供产品图片或亚马逊 ASIN，全方位查询知识产权风险——外观专利、实用新型/发明专利、文字商标、图形商标、版权、政策合规六维度全覆盖，并对检测到的专利进一步查询法律状态、权利要求、同族、引用关系等深度信息，最终输出结构化 HTML 报告。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureData and analyticsWriting 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.
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: 1. 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 "zh_name"
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. 30 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 952 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 122: enough signal without eating the budget
- +4Structure: 16 headings
- +3Step-by-step instructions: 30 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.
External checks
ClawHub: suspicious
This IP-risk reporting skill is broadly coherent, but it needs Review because it can install helper skills, send feedback and task data externally, upload local files to public URLs, and retain full results locally without tight controls.
LLM: suspicious (high) · 21 Aug 2026