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Danny_Skill
作者
siansharoh
· GitHub ↗
· v1.0.0
· MIT-0
253
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当前安装
1
版本数
在 OpenClaw 中安装
/install dannyleons
功能描述
分析 AI Agent 相关资讯数据，提取热点话题、趋势分析和内容创作灵感。 用于：(1) 分析采集到的资讯找出热点话题 (2) 评估话题热度判断是否值得创作 (3) 提取可作为视频内容的核心要点 (4) 生成内容创作建议
使用说明 (SKILL.md)
Agent Content Analyzer
此 Skill 用于分析 AI Agent 资讯数据，提取有价值的内容创作灵感。
分析维度
1. 热点识别
- 出现频率最高的关键词
- 多平台同时讨论的话题
- 近期重大发布/事件
2. 热度评估
- 媒体关注度 (报道数量)
- 社交讨论度 (转发/评论)
- 持续时间 (是否在发酵中)
3. 内容价值判断
- 是否具有科普价值 (新概念需要解释)
- 是否具有时效性 (需要快速跟进)
- 是否具有争议性 (容易引发讨论)
- 是否具有实用性 (工具/教程类)
输出格式
{
"hot_topics": [
{
"topic": "热点话题名称",
"keywords": ["关键词1", "关键词2"],
"heat_level": "高/中/低",
"suggestion": "创作建议"
}
],
"content_ideas": [
{
"title": "内容选题",
"type": "资讯播报/盘点/教程",
"angle": "切入角度",
"priority": "高/中/低"
}
]
}
使用示例
用户说"帮我分析一下今天的资讯，哪些值得做视频"时：
- 接收 agent-news-tracker 输出的资讯列表
- 分析识别热点话题
- 评估每个话题的内容创作价值
- 输出优先创作建议
注意事项
- 优先推荐时效性强的话题
- 3分钟资讯播报建议选择单一话题做深度
- 避免过于专业晦涩的技术细节，选择大众感兴趣的点
安全使用建议
This skill is instruction-only and appears coherent for producing hot-topic analyses and content ideas. Before installing, confirm where the news items will come from (the 'agent-news-tracker' or other data source) and whether that upstream source requires credentials or could include sensitive/private content you don't want analyzed. Also verify that any agent providing the news respects source attribution and privacy. The repository lists multiple SKILL.md files (duplicates with different sizes) — likely harmless but you can request the publisher clarify why there are multiple versions. Overall risk is low.
功能分析
Type: OpenClaw Skill
Name: dannyleons
Version: 1.0.0
The skill bundle contains only documentation and instructions (SKILL.md) for an AI agent to format video metadata and titles for Chinese social media platforms. There is no executable code, no network activity, and no evidence of malicious intent or prompt injection.
能力评估
Purpose & Capability
Name/description describe analyzing news for hot topics and content ideas; the SKILL.md contains only analysis rules and expected input from an 'agent-news-tracker'—no unrelated credentials, binaries, or system access are requested.
Instruction Scope
Runtime instructions are limited to analyzing a provided list of news items and producing structured output (hot topics, content ideas). It does not instruct the agent to read arbitrary files, access external endpoints, or exfiltrate environment variables. It does reference input from another agent ('agent-news-tracker'), which is expected and appropriate for this skill.
Install Mechanism
No install spec and no code files — instruction-only. This is the lowest-risk install model; nothing is written to disk or downloaded by the skill itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. That is proportionate to a purely analytic, instruction-only skill.
Persistence & Privilege
always is false and model invocation is allowed (default). The skill does not request elevated or persistent system privileges or modifications to other skills' configs.
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 dannyleons - 安装完成后，直接呼叫该 Skill 的名称或使用
/dannyleons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
Agent Content Analyzer v1.0.0
- Initial release of the skill for analyzing AI Agent-related news and content.
- Identifies hot topics, analyzes trends, and generates content creation ideas.
- Evaluates topics for media coverage, social interest, timeliness, and practical value.
- Extracts core points suitable for video content and provides creation suggestions.
- Outputs structured recommendations in both “hot topics” and “content ideas” formats.
元数据
常见问题
Danny_Skill 是什么？
分析 AI Agent 相关资讯数据，提取热点话题、趋势分析和内容创作灵感。 用于：(1) 分析采集到的资讯找出热点话题 (2) 评估话题热度判断是否值得创作 (3) 提取可作为视频内容的核心要点 (4) 生成内容创作建议. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 253 次。
如何安装 Danny_Skill？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install dannyleons」即可一键安装，无需额外配置。
Danny_Skill 是免费的吗？
是的，Danny_Skill 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Danny_Skill 支持哪些平台？
Danny_Skill 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 Danny_Skill？
由 siansharoh（@siansharoh）开发并维护，当前版本 v1.0.0。
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