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gyy929-dwls

prodecoder

by GYY929-dwls · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
90
Downloads
1
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0
Active Installs
1
Versions
Install in OpenClaw
/install prodecoder
Description
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。
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install prodecoder
  3. After installation, invoke the skill by name or use /prodecoder
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Slug prodecoder
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is prodecoder?

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。 It is an AI Agent Skill for Claude Code / OpenClaw, with 90 downloads so far.

How do I install prodecoder?

Run "/install prodecoder" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is prodecoder free?

Yes, prodecoder is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does prodecoder support?

prodecoder is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created prodecoder?

It is built and maintained by GYY929-dwls (@gyy929-dwls); the current version is v1.0.0.

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