Home / hanzhcn / laohan-skills · laohan-xuanti/SKILL.md · GitHub

laohan-xuanti skillA

laohan-xuanti is agent-read markdown (skill) from hanzhcn/laohan-skills: 真人口播①选题决策主写者;按老韩选题五步法(扫爆款→剔假爆款→看重复→定角度→验收藏)执行:扫描数据层达人库与自频道异常倍数,过滤假阳性,判定单期/系列,提炼冲突角度并验证收藏价值后AI自主定题(Jeffrey保留否决权),核对小白受众承诺、抖音语义对齐和 PRIMARY 原始来源。Use when 用户说"抓热点""AI热点""找选题""选题""今天做什么""redian",或 bianpai 路由到①;单独搜抖音时改用 laohan-douyinsousuo。.

Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.

What the file says

# ①选题决策

热点只用于发现,最终结果是一个可审计的生产决策:为什么现在做、给谁看、论点凭什么成立、抖音上有哪些重复角度、为什么淘汰其他候选,以及发布后如何按固定窗口复盘。

## 边界

- 本 skill 是①唯一主写者,写 signals、candidates、source-health 和 `00-选题.*`。
- `laohan-douyinsousuo` 只写 `00-抖音搜索证据.{json,md}`;同一 Agent 宿主按 bianpai 路由执行,不做 programmatic skill-to-skill 调用。
- ②才写口播稿;①不生成正文、大纲段落或封面。
- ⑤才做完整事实核验;①仍须给最终事实前提找到至少一条 PRIMARY 原始来源。
- 不安装新浏览器、爬虫、Python runtime 或第三方 skill。抖音平台访问只用已安装 OpenCLI。
- 同一事件可以形成观点候选和教程候选;受众任务、标题承诺和内容路径真正不同时可分别参加比较。②—④沿用选中 lane,不混写。

## 输入

Episode 模式必须读取:

1. 本期 `episode-config.json` 与 `00-编排/` 冻结产物。
2. 本期已显式登记的反馈快照;没有就记录 `NOT_AVAILABLE`,不得扫描旧 episode 猜经验。
3. 本轮真实 signals 与抖音搜索证据。

标准 Episode 为 `AUTO_SELECT`:AI按五步法完成发现、过滤与定题, Jeffrey 保留事后否决权(`00-选题-Jeffrey否决.json`,否决原因必填,否决后按原因重新扫描)。Jeffrey 明确给题时走 `USER_SEED`,仍须给出至少一个真实替代候选、抖音取证、PRIMARY 证据和测量合同。

Jeffrey给出的是软件、方法或系列方向时,先走`USER_DIRECTION_RESEARCH`:读取项目`docs/系列选题研究与分期规格.md`,完成四平台定向搜索、内容级拆解、需求判断、系列分期和单期资料包。它不运行与方向无关的9账号泛扫描来凑热度。只有`DEMAND_VALIDATED`可进入三期以上系列,`EXPERIMENTAL_ONE_OFF`只进入单期,`DIRECTION_REJECTED`停止。正式episode仍须提供替代候选。

## 工作流

### 1. 采集当前信号
…

Read the whole file at its exact version.

How to install

Latest version
mdr add hanzhcn/laohan-skills/laohan-xuanti@v3.3.0
Exact content
mdr add hanzhcn/laohan-skills/laohan-xuanti@sha256:2a626ea99a1d4ff9

Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.

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Versions

versioncommittedcommitsizeaudit
v3.3.0 latest2026-09-18 06d5bec 17,838 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (17838 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

hanzhcn/laohan-skills · 11 stars · license MIT · pushed 2026-09-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_swgvap3oqa2mllbz
GET https://markdownregistry.com/api/v1/resolve?ref=hanzhcn/laohan-skills/laohan-xuanti
GET https://markdownregistry.com/api/v1/blob/2a626ea99a1d4ff963487abb40489f0f24ed5c67b782e2124194f13166e130da

Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

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