BC xhs-note-analyst
小红书数据分析 / 小红书账号分析诊断工具——用你自己的创作者后台官方数据做账号体检。导出最近 N 条笔记的官方数据（曝光/封面点击率/涨粉/人均观看时长），逐条提炼关键词去小红书搜同题材爆款做对标，生成含①数据总表②转化漏斗健康度诊断③逐条笔记对标爆款+改进动作的 HTML 报告。不需要任何第三方 API key 或付费额度，用你 Chrome 里已登录的账号跑。当用户要分析"我自己的小红书账号"最近笔记表现、点击率/互动/涨粉为什么不行、或想给笔记找对标爆款和优化动作时唤起。【前置依赖】本 skill 无法独立运行，需先安装 webclaw3 浏览器运行时（安装本 skill 不会自动装上它）：npx clawhub@latest install fatmind/webclaw3-browser-automation —— 若用户尚未安装，请先引导安装并完成 webclaw3 首次配置，再执行本 skill。
小红书数据分析 / 小红书账号分析诊断工具——用你自己的创作者后台官方数据做账号体检。导出最近 N 条笔记的官方数据（曝光/封面点击率/涨粉/人均观看时长），逐条提炼关键词去小红书搜同题材爆款做对标，生成含①数据总表②转化漏斗健康度诊断③逐条笔记对标爆款+改进动作的 HTML 报告。不需要任何第三方 API key…
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.
- 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 · 2
✓ No critical or high findings
Medium and low: 2
-
low Obfuscation
obf-base64-blobwc3-code.mjs:2Long base64-looking blob (detector / deny-list definition)const _0x46785b=_0x18df;function _0x442a(){const _0x2e7a56=['ls1WCM9TChq','rxjY…LEI/NUAo…2zE+8Ia','yxbW…VBG','mZziy21rAMe','D2mZ…RORdetector -
low Secrets in code
secret-high-entropy-tokenwc3-code.mjs:2High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)const _0x46785b=_0x18df;function _0x442a(){const _0x2e7a56=['ls1WCM9TChq','rxjY…LEI/NUAo…2zE+8Ia','yxbW…VBG','mZziy21rAMe','D2mZ…RORdetector
Files scanned: 5. 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")
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. 18 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 899 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
- +1No license
- +2Single-language instructions
- +3Description length 412: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 18 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.