laohan-fengmianqiuzhi

laohan-fengmianqiuzhi is a skill for Claude Code, Codex from hanzhcn/laohan-skills. It costs 99 tokens per session (2,159 once invoked), scanned A, original, MIT.

A workflow for creating realistic cover images from a spoken script and a reference photo of Jeffrey. It produces ranked vertical concepts, then creates selected covers in three screen shapes for four platforms.

In plain words
What is it for?
Use it to extract cover text, choose visual directions, generate 9:16 candidates, and create 3:4, 4:3, and 16:9 versions of the selected design.
Why use it?
It turns one script into platform-ready cover concepts while keeping the person, message, layout, and image proportions consistent.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to extract cover text, choose visual directions, generate 9:16 candidates, and create 3:4, 4:3, and 16:9 versions of the selected design.

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Install with agentmods
npx agentmods add skills/hanzhcn/laohan-skills/laohan-fengmianqiuzhi
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hanzhcn/laohan-skills --skill laohan-fengmianqiuzhi
Clone the repo
git clone --depth 1 https://github.com/hanzhcn/laohan-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for laohan-fengmianqiuzhi

README.md
[![agentmods](https://agentmods.dev/badge/skills/hanzhcn/laohan-skills/laohan-fengmianqiuzhi/github.svg)](https://agentmods.dev/skills/hanzhcn/laohan-skills/laohan-fengmianqiuzhi)
Your own site
<a href="https://agentmods.dev/skills/hanzhcn/laohan-skills/laohan-fengmianqiuzhi"><img src="https://agentmods.dev/badge/skills/hanzhcn/laohan-skills/laohan-fengmianqiuzhi/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for laohan-fengmianqiuzhi

Your own site · 80×15
<a href="https://agentmods.dev/skills/hanzhcn/laohan-skills/laohan-fengmianqiuzhi"><img src="https://agentmods.dev/badge/skills/hanzhcn/laohan-skills/laohan-fengmianqiuzhi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,159 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00099 $0.02159
Opus 5 $0.00049 $0.01079
Sonnet 5 $0.00020 $0.00432
Haiku 4.5 $0.00010 $0.00216

Measured 12d ago against content hash 95aae51cf281, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

laohan-fengmianqiuzhi scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

laohan-fengmianqiuzhi/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

真人口播封面直接生成

目标:从口播稿提炼一个跨平台可成立的点击钩子,只使用秋芝方向,按推荐顺序直接生成3张“人物+场景+准确中文标题”的9:16视觉母版,再以默认01或 Jeffrey 明确改选的同一rank生成3张真实尺寸封面,共享到四平台7个逻辑入口。三个比例必须分别重新构图和生成,不把裁切或发布页临时取景当成适配。不要拆成无字底图、排字脚本、评分器或多阶段合成。

输入与边界

  • episode-config.schema_version 为4;身份reference或稿件绑定不满足时停止,不自行改合同。
  • 读取当前 01-口播稿.md12-发布/多平台发布内容.md和锁定的抖音发布信息。
  • 人物参考固定为本期 05-封面/reference/jeffrey-reference.jpg,并作为 image reference 传给生图模型。
  • ⑥先生成3张9:16完整候选,再为默认01生成3张共享真实尺寸封面;Jeffrey明确改选02或03时,⑫前必须为新rank重新生成这3张,旧rank成品不能混用。不允许简单裁掉人物、主物件或标题。
  • 不在 prompt 中写“模仿某博主风格”。只使用 references/douyin-cover-study.md 的秋芝观察和 references/qiuzhi-template-library.md
  • 默认只生成3个秋芝方向候选;拉斐尔和柱子哥方向暂不进入默认输出。
  • 三张按推荐程度从高到低排列为01 → 02 → 03。没有Jeffrey明确改选时,后续发布自动化优先使用01作为发布封面的源候选。

执行

1. 提炼封面文字

从口播稿提炼:

  • 主标题:4—10个汉字,最多两行;保留真正影响理解的产品名。
  • 辅助短句:0—8个汉字;主标题已经说清楚时不要添加。
  • 画面事件:Jeffrey正在做什么,他面对什么具体问题或结果。

禁止“AI神器”“效率翻倍”等可套用到任何选题的空话。封面文字不能超出口播稿事实。

2. 选择3个秋芝模板并排序

完整读取 references/douyin-cover-study.md 的秋芝部分和 references/qiuzhi-template-library.md,先按口播核心冲突筛选模板。

  1. 先在内部筛出语义最匹配的5—8个模板。
  2. 最终选择3个不同模板族;三张不能只是同一空间换衣服或换颜色。
  3. 每张独立遵守1个基础模板 + 最多1个主物件机制
  4. 按“口播钩子匹配度 → 手机缩略图辨识度 → 人物动作与主物件关系 → 与近期候选的差异”排序。01必须是本期最推荐方案,不随机排序。
  5. 禁止凭“AI感”默认选择宇航员、驾驶舱、未来办公室或实验室;CONDITIONAL_ONLY仍只在语义明确匹配时使用。

每条提示词都必须一次性描述:

  1. 9:16抖音完整封面;
  2. Jeffrey的身份、位置、表情、动作和服装;
  3. 与本期直接相关的一个主场景或主物件;
  4. 主标题和可选辅助短句的准确原文、断行、位置、颜色、粗黑描边;
  5. 该方向对应的版式规律;
  6. 禁止错字、多余文字、平台UI、水印、二维码、额外人物和无关装饰。

共用身份约束:

Use the supplied portrait as the non-replaceable identity reference for Jeffrey. Preserve his recognizable face shape, glasses, short hair, moustache and goatee, chin mole, skin tone and age impression. Exactly one Jeffrey.

共用文字约束:

Render only the following Chinese cover text, exactly as written, with no missing, substituted or extra characters: “[主标题]” and, only when provided, “[辅助短句]”. The Chinese text must be large, crisp, correctly spelled and readable at phone-thumbnail size. Do not render any other words, letters or numbers.

3. 直接生成3张

  • 用3条提示词分别调用 image provider,并传入同一张 Jeffrey reference。
  • 三张都生成9:16完整成图,按推荐顺序保存为cover-01-qiuzhi-9x16.<ext>cover-02-qiuzhi-9x16.<ext>cover-03-qiuzhi-9x16.<ext>ext只允许png、jpg、jpeg或webp。
  • 完整成图直接保存到 05-封面/ 根目录;不创建 backgrounds/,不运行后排字脚本。
  • 如果中文错字、人物不像或主题画错,只修正原提示词并重生该张;不要增加新流程。
  • 三张排序候选真实、可解码、9:16且命名符合顺序,并且默认01的3张共享尺寸成品全部真实可解码、尺寸正确后,才满足⑥机械门槛。人物身份、标题准确度、主题一致性、缩略图安全区必须在当前任务中逐张视觉复看后如实报告,但不新增review文件或生产阶段。
  • Jeffrey可明确改选02或03;没有明确改选时,发布准备默认从01适配平台所需封面比例,不能静默改用02或03。

Read the full file on GitHub · 131 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 131 lines · 99 tokens per session scan A 95aae51cf281

Subscribe to this mod's changes

laohan-fengmianqiuzhi is a skill published in the GitHub repository hanzhcn/laohan-skills (11 stars, last pushed 2d ago), licensed MIT. It adds 99 tokens to every session and 2,159 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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