Reddit 主题洞察

输入研究主题，自动采集 Reddit 讨论，提炼爆款角度，产出 X 推文、小红书笔记、公众号文章三平台成品。7 步流水线：需求收集 → 关键词设计 → 数据采集 → 详情获取 → 角度规划 → 成品生产 → 合并输出。

This skill is internally consistent with its goal of harvesting Reddit discussion and producing content, but please consider the following before installing: - Reddit credentials: you can run without REDDIT_CLIENT_ID/REDDIT_CLIENT_SECRET but rate limits will be lower; if you supply them, store them securely in environment variables. Only Reddit creds are requested. - Data persisted to disk: runs/<topic-slug>/ will contain collected posts, comments, author names and generated pieces; treat these files as potentially sensitive and avoid storing them in public locations. - Content & legal: the pipeline may include quotes or paraphrases of Reddit posts and usernames; verify copyright, privacy, and platform policy implications before publishing generated outputs. - Model outputs: SubAgents produce creative content and can hallucinate facts or invent attributions — review all generated pieces carefully for accuracy and defamation risk. - Operational: the scripts use Reddit's public JSON endpoints and include rate-limit handling, but heavy usage may still hit rate limits or violate Reddit's API policies; respect Reddit's terms of service and throttle appropriately. If you want lower risk: run the scripts in an isolated environment, inspect runs/<slug>/posts_detail.json before feeding data into downstream publishing, and avoid providing Reddit credentials unless needed for production volume.

Type: OpenClaw Skill Name: reddit-topic-insight Version: 1.0.1 The OpenClaw AgentSkills skill bundle is classified as benign. The Python scripts (`reddit_collector.py`, `reddit_detail_fetcher.py`, `content_merger.py`) perform legitimate data collection from Reddit and local file processing, without any evidence of data exfiltration to unauthorized endpoints, arbitrary code execution, or persistence mechanisms. The skill's design principles, explicitly stated in `SKILL.md` and `workflow/*.md` files, demonstrate a conscious effort to mitigate prompt injection risks against the AI agent through '上下文隔离' (context isolation) and by strictly forbidding the main agent from reading SubAgent-generated content files ('主 Agent 严禁读取 piece 文件内容'), instead only checking for file existence. All file paths for script arguments are either fixed or derived from sanitized user input (slug), preventing path traversal or shell injection.