BC xhs-nurture
小红书自动化养号互动 Skill（OpenClaw 多模型版）。 当用户提到小红书养号、自动互动、点赞、收藏、关注、评论引流、 账号活跃度提升、互动任务、定时养号、多账号管理时必须使用。 核心：在用户已登录会话内模拟真人浏览与互动行为，按配置的速率、 抖动、过滤器与每日上限执行点赞/收藏/关注/评论四类动作。 纯浏览器 DOM 操作，不使用 Headless 浏览器、MCP工具或API逆向调用。
As a process C 51/100 · 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: 20. 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 51/100
- 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
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (xhs-nurture) differs from the folder (ops-comment)
- 100Tools and files. No external tools needed
- 100Steps. 66 steps
- 100Execution cost. Instruction body is 1084 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
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 199: enough signal without eating the budget
- +4Structure: 19 headings
- +3Step-by-step instructions: 66 items
- +4Reference files are cited in the instructions (7 of 8)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.
External checks
ClawHub: suspicious
This skill is an openly automated Xiaohongshu engagement tool, but it combines real account actions with anti-detection behavior, scheduling, multi-account support, and persistent local tracking.
LLM: suspicious (high) · VirusTotal: · 29 May 2026