BF xiaohongshu-crawler
小红书作品爬取工具。根据关键词爬取小红书热门作品数据，支持按日期范围、排序方式筛选，结果以结构化表格展示。当用户需要爬取小红书作品、查询小红书热门内容、搜索小红书爆款笔记时使用。触发词：小红书爬取、小红书作品、小红书爆款、小红书搜索、小红书热门、小红书笔记查询。
小红书作品爬取工具。根据关键词爬取小红书热门作品数据，支持按日期范围、排序方式筛选，结果以结构化表格展示。当用户需要爬取小红书作品、查询小红书热门内容、搜索小红书爆款笔记时使用。触发词：小红书爬取、小红书作品、小红书爆款、小红书搜索、小红书热门、小红书笔记查询。
As a process F 28/100 · Will not run — References files that are not bundled: work_url
ProcedureSoftware developmentData 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.
- 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: 7. 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: work_url
Process rating: all ten parameters 28/100
Will not run. References files that are not bundled: work_url
- 0Tools and files. 1 referenced file(s) missing: work_url
- 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
- 30Running it twice. 3 mutating operations with no state check
- 40Consistency. Frontmatter name (xiaohongshu-crawler) differs from the folder (xiaohongshu-crawler-redfox)
- 100Steps. 11 steps
- 100Execution cost. Instruction body is 1409 tokens
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
- -234 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 131: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (5 code blocks)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.
External checks
ClawHub: suspicious
The skill appears to be a legitimate Xiaohongshu crawler, but it should be reviewed because it uses a third-party API key, sends search terms to RedFox, and generates local active HTML reports with limited scoping safeguards.
LLM: suspicious (medium) · 5 Jun 2026