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SKILL verified MIT Self-run

Self Media Trend Radar

skill-yanhua1010-self-media-content-workflow-self-media-trend-radar · by yanhua1010

安全追踪热点、研究关键词和拆解竞品内容,并将结果转成原创选题和证据包。用于用户要求找热点、看趋势、分析爆款、研究竞品账号、拆标题或开头、比较内容结构、发现评论需求和判断时效窗口。只做公开信息研究和只读采集,不自动互动、发布或使用主账号登录态抓取竞品。

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Install

$ agentstack add skill-yanhua1010-self-media-content-workflow-self-media-trend-radar

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Passed review? Show it. Paste this badge into your README — it links to the public security report.

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Reliability & compatibility

Security review passed
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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming — see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps — measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

热点与竞品雷达

目标

识别用户需求、表达结构和时效机会,不复制竞品观点或文案。

数据源优先级

  1. 用户提供的链接、截图、导出文件和素材。
  2. 官方文档、原始发布、论文、公告和作者原帖。
  3. 平台公开搜索、热榜、竞品主页和公开互动数据。
  4. 可信二手资料,用于补充背景,不替代一手事实。

近期产品、人物、价格、版本、新闻和平台规则必须联网核验。技术事实优先使用官方来源。

研究流程

1. 定义研究问题

确认要回答的是热点窗口、关键词需求、竞品结构、账号定位还是内容机会。先限定平台、时间范围和样本数量。

2. 收集有限样本

只收集能回答问题的样本。记录链接、发布时间、标题、内容形态、公开互动和观察备注。不要把一次高表现直接叫作规律。

3. 拆解结构

逐条检查:

  • 标题使用了什么承诺、身份、冲突或信息差。
  • 开头 3 秒或第一屏如何建立停留。
  • 内容如何组织证据、故事、步骤和转折。
  • 封面或首图承担什么任务。
  • 行动、标签、合集和发布时间如何配合目标。
  • 评论区暴露了哪些真实问题和反对意见。

4. 判断机会

区分:

  • 可以直接核验的事实。
  • 多个样本重复出现的模式。
  • 可能由热点、投流或账号体量造成的现象。
  • 用户能加入的一手经验、反证和独立判断。

5. 转成原创选题

每个候选写明:一句话判断、目标受众、时效窗口、一手证据、差异化角度、适合平台、仍缺证据和风险。

输出

交付:

  1. 研究范围和样本说明。
  2. 3 到 5 条结构性发现。
  3. 不能下结论的内容。
  4. 3 到 5 个原创选题。
  5. 最推荐选题和下一步验证动作。

读取 [research-safety.md](references/research-safety.md) 并遵守账号隔离、只读、控频、遇阻即停和凭证保护规则。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.