流量重组洗稿虾

v1.0.0

流量重组洗稿虾 — 基于爆款逻辑的深度内容改写专家。保留爆款基因,规避重复风险,快速产出高质量原创内容。 **当以下情况时使用此 Skill**: (1) 需要将爆款内容改写为符合自己账号风格的原创版本 (2) 需要跨平台内容迁移(长文→短视频脚本、视频→图文) (3) 需要基于同一核心观点生成多个不同角度的内容...

0· 178·0 current·0 all-time
byRicky@tujinsama

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for tujinsama/content-rewriter-claw.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "流量重组洗稿虾" (tujinsama/content-rewriter-claw) from ClawHub.
Skill page: https://clawhub.ai/tujinsama/content-rewriter-claw
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install content-rewriter-claw

ClawHub CLI

Package manager switcher

npx clawhub@latest install content-rewriter-claw
Security Scan
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Benign
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OpenClawOpenClaw
Benign
high confidence
Purpose & Capability
Name/description (content rewrite, cross-platform adaptation, compliance) match the included materials: SKILL.md, rewrite rules, viral-gene model, compliance checklist, and a small prompt-generator script. Nothing requested (no env vars, binaries, or installs) is out of scope for a content-rewriter.
Instruction Scope
Runtime instructions focus on analyzing and rewriting text, selecting rewrite depth, and running a local script to build structured prompts. They also require estimating duplication and checking platform-sensitive words. Note: the skill instructs aiming for low duplication (<10%) but provides no automated plagiarism-checking tool—that step is a manual/heuristic compliance check, so outputs should still be verified with a dedicated plagiarism tool if legal certainty is needed.
Install Mechanism
No install spec; the skill is instruction-only plus a small Python script. There are no external downloads or installers, and the script performs only local prompt generation and I/O.
Credentials
The skill requests no environment variables, credentials, or config paths. All required inputs are provided by the user at runtime (text, file paths, depth/style/platform flags).
Persistence & Privilege
always is false and the skill does not attempt to modify other skills or system-wide settings. It requires no persistent presence or elevated privileges.
Assessment
This skill appears coherent and implements a local prompt-builder plus clear rewrite rules, but consider the following before installing or using it: - Copyright and platform rules: Rewriting/"洗稿" can still infringe copyright if unique expressions, large verbatim blocks, or exclusive data are reused. Do not feed confidential or copyrighted material unless you have rights; verify outputs with a plagiarism tool or legal review for high-risk content. - Compliance is partly heuristic: The SKILL.md and references define thresholds and sensitive-word checks, but the package provides no automated duplication checker. If you need legal certainty, run a dedicated duplication/plagiarism scan on outputs. - Model invocation: The script only generates prompts; actual rewriting will occur when your agent/LLM processes those prompts. Ensure the model you use and any downstream services comply with privacy and content policies and that you don't inadvertently send secrets in prompts. - Ethical/platform risk: The skill intentionally preserves "viral hooks" (钩子/传播结构). This is expected for the stated purpose but may encourage tactics that skirt platform policies—review final outputs for policy compliance and avoid using it to evade takedowns or platform enforcement. Overall: technically coherent and low-risk from a packaging/permissions perspective, but treat legal/copyright risk as a separate operational concern and verify outputs before publishing.

Like a lobster shell, security has layers — review code before you run it.

latestvk973jg1zjm4bfm15ehtn09dp0584h5he
178downloads
0stars
1versions
Updated 2w ago
v1.0.0
MIT-0

流量重组洗稿虾 (content-rewriter-claw)

工作流程

步骤 1:解构原始内容

分析原文的核心要素:

  • 核心观点/论点
  • 论证逻辑(因果/对比/递进)
  • 情绪共鸣点
  • 金句/亮点
  • 数据/案例
  • 结构框架

步骤 2:提炼爆款基因

识别内容为什么会爆的关键因素,参考 references/viral-gene-model.md

  • 标题钩子类型(悬念/痛点/反常识/数字/共鸣)
  • 情绪触发器(焦虑/好奇/愤怒/感动/共鸣)
  • 传播结构(起承转合节奏)
  • 价值密度

步骤 3:选择改写深度

根据用户需求或内容风险选择改写深度,详见 references/rewrite-rules.md

  • shallow:浅层改写(快速产出,重复率30-50%)
  • medium:中层改写(大多数场景,重复率10-30%)
  • deep:深度重构(高风险内容,重复率<10%)
  • full:完全原创(仅保留核心观点,重复率<5%)

用户未指定时,默认使用 deep(安全优先)。

步骤 4:执行改写

按选定深度改写内容,同时:

  • 保留爆款基因(钩子类型、情绪触发点、传播结构不变,内容全换)
  • 适配目标账号风格(语言风格、句式、人称、特色表达)
  • 适配目标平台规范(如有指定)

步骤 5:合规检查

改写完成后,对照 references/compliance-rules.md 检查:

  • 估算重复率是否达标
  • 检查绝对化用语和平台敏感词
  • 评估版权风险

步骤 6:输出结果

输出格式:

  1. 改写后的内容(完整版)
  2. 改写说明:简述做了哪些改动(改写深度、角度转换、案例替换等)
  3. 合规评估:预估重复率区间、风险等级

辅助脚本

scripts/rewrite-content.py:生成结构化改写 prompt,适合批量处理场景。

python3 scripts/rewrite-content.py --input "原文内容" --depth deep --style "轻松幽默" --platform xiaohongshu
python3 scripts/rewrite-content.py --input-file content.txt --depth medium --output result.json

参数:

  • --depth:shallow / medium / deep / full
  • --style:目标风格描述(如"专业严谨"、"轻松幽默")
  • --platform:目标平台(douyin / xiaohongshu / wechat / bilibili)
  • --keep:必须保留的要素(逗号分隔)
  • --avoid:需要规避的要素(逗号分隔)

参考资料

  • references/rewrite-rules.md:改写深度层级定义和操作清单
  • references/viral-gene-model.md:爆款基因提炼模型(钩子公式、情绪触发器、传播结构)
  • references/compliance-rules.md:查重阈值、平台敏感词、版权风险评估

注意事项

  • 改写不等于可以随意使用他人内容,注意版权边界
  • 深度改写需要较长时间,告知用户预期等待
  • 改写质量依赖原文质量
  • 不支持视频内容直接改写(仅支持文字)

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