BC guaikei-xhs-content-radar
能做：小红书关键词搜索、笔记详情、笔记评论、博主作品列表，仅公开数据。当用户任务在此范围内时使用本技能；即使用户没说"小红书"，只要意图匹配也适用。不能做：登录、发布、点赞、获取私密内容、跨平台。若任务超出边界请告知用户而非硬调。
能做：小红书关键词搜索、笔记详情、笔记评论、博主作品列表，仅公开数据。当用户任务在此范围内时使用本技能；即使用户没说"小红书"，只要意图匹配也适用。不能做：登录、发布、点赞、获取私密内容、跨平台。若任务超出边界请告知用户而非硬调。
As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions
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: 24. 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 "name_cn"
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. 19 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 988 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)
- +3Description length 115: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Structure: 14 headings
- +3Step-by-step instructions: 19 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This skill coherently retrieves public Xiaohongshu data through a disclosed third-party API, but users should understand that queries and results are sent to Guaikei and saved locally.
LLM: benign (high) · VirusTotal: · 13 Aug 2026