← 返回 Skills 市场
prodecoder
作者
GYY929-dwls
· GitHub ↗
· v1.0.0
· MIT-0
90
总下载
1
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install prodecoder
功能描述
深度爆款解码器。具备网安视角的避坑分析、视觉心理学拆解及内容复刻建议。
安全使用建议
This skill appears to aim at analyzing URLs and producing a decomposition template, but SKILL.md promises behavior (desensitization, full analysis, and Markdown output) that the included main.py does not implement. Before installing: (1) confirm how the agent-browser integration supplies page content to the skill — main.py currently only reads a URL and never consumes page text; (2) ask the author to reconcile SKILL.md and main.py (either have the code accept and sanitize fetched content, or update the docs to reflect that the skill only returns an analysis framework); (3) be aware that the '网安级审计' feature describes detecting moderation-evasion techniques — this capability can be dual-use, so ensure you are comfortable with the policy/legal implications of using a tool that analyzes how content may bypass platform filters; (4) because behavior may not match expectations, avoid enabling autonomous invocation for sensitive contexts until the inconsistencies are resolved.
功能分析
Type: OpenClaw Skill
Name: prodecoder
Version: 1.0.0
The skill is a content analysis tool designed to help creators analyze viral social media posts. The Python code (main.py) performs basic URL categorization and a simple regex-based 'safety audit' to detect platform-restricted keywords and mask IP addresses. No malicious behaviors such as data exfiltration, unauthorized execution, or harmful prompt injection were found. The 'cybersecurity' branding in SKILL.md refers to analyzing how users bypass platform filters, which is consistent with the stated purpose of content decoding.
能力评估
Purpose & Capability
Name/description (deep content decoding, audit, visual analysis) aligns with requesting a target URL and performing text/visual analysis. The included safety_audit function and platform detection are coherent with that aim. However the code implements only a lightweight framework (returns a JSON analysis template) and does not fully implement the described features (see instruction_scope).
Instruction Scope
SKILL.md instructs the agent to fetch page metadata via agent-browser, run Python logic to perform text desensitization and produce a structured Markdown report. The shipped main.py, when executed, only accepts a URL and returns a JSON framework; it does not call safety_audit, does not accept or process fetched page content, and does not produce Markdown. This mismatch means runtime behavior may differ from user expectations and the instructions' stated data handling.
Install Mechanism
No install spec (instruction-only skill with a small helper script). Nothing is written to disk by an installer and no external downloads are requested.
Credentials
No environment variables, credentials, or config paths are requested. The skill does not require elevated access or unrelated secrets.
Persistence & Privilege
always is false and the skill does not request permanent presence or elevated platform privileges. Autonomous invocation is permitted by default (platform default) but not combined with other red flags.
如何使用
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install prodecoder - 安装完成后,直接呼叫该 Skill 的名称或使用
/prodecoder触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release of 深度爆款解码器 (Pro Decoder):
- Supports deep analysis of viral content across major Chinese platforms (Douyin, Xiaohongshu, Bilibili, WeChat).
- Features cyber-security auditing for content sensitivity, including techniques for bypassing platform restrictions.
- Provides visual psychology breakdowns (cover composition, color schemes).
- Generates actionable, replicable content prompts based on analysis.
- Outputs structured Markdown reports for easy reference and reuse.
元数据
常见问题
prodecoder 是什么?
深度爆款解码器。具备网安视角的避坑分析、视觉心理学拆解及内容复刻建议。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 90 次。
如何安装 prodecoder?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install prodecoder」即可一键安装,无需额外配置。
prodecoder 是免费的吗?
是的,prodecoder 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
prodecoder 支持哪些平台?
prodecoder 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 prodecoder?
由 GYY929-dwls(@gyy929-dwls)开发并维护,当前版本 v1.0.0。
推荐 Skills