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.
npx skills add renky1025/agent-skills --skill black-humor-writinggit clone --depth 1 https://github.com/renky1025/agent-skillsWrote 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.
[](https://agentmods.dev/skills/renky1025/agent-skills/black-humor-writing)<a href="https://agentmods.dev/skills/renky1025/agent-skills/black-humor-writing"><img src="https://agentmods.dev/badge/skills/renky1025/agent-skills/black-humor-writing/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.
<a href="https://agentmods.dev/skills/renky1025/agent-skills/black-humor-writing"><img src="https://agentmods.dev/badge/skills/renky1025/agent-skills/black-humor-writing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.02447 |
| Opus 5 | $0.00042 | $0.01223 |
| Sonnet 5 | $0.00017 | $0.00489 |
| Haiku 4.5 | $0.00008 | $0.00245 |
Grade A, and why
black-humor-writing 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.
This is a copy
77% identical to smart-search — 250 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 199 lines — stays where its author put it; the contents beside it link to each section on GitHub.
黑色幽默写作 SOP
幽默不是天赋，是有 SOP 的。本 Skill 基于单立人喜剧教材的核⼼方法论，提供从观察生活到产出有传播力的幽默内容的五步框架。
Outcome Contract
- Outcome：基于主题生成有传播力的黑色幽默/搞笑内容（推文、段子、评论文案、文章段落）
- Done when：主题已确定、态度已明确、预期的违背已构建、内容有传播力
- Evidence：预期违背点清晰；有真实矛盾被揭露；读者能感受到"一个活人在表达"
Hard Rules｜硬边界
- 幽默来自真实的矛盾和观察，不是编造梗或抄段子——必须从生活/经历/观察出发
- 黑色幽默的本质是揭露不合理，不是无意义吐槽——每段幽默要有一个"为什么这件事其实很荒谬"的核心
- 爆论 ≠ 胡说——有争议的角度必须有真实论据支撑，不能为博眼球编造立场
- 不冒充别人经历——可以夸张放大真实体验，但不能编造"我遇到过"的事
- 不低俗攻击——讽刺可以犀利，但不能靠羞辱/歧视/人身攻击制造笑点
Reference Map
| 本节 | 何时读 |
|---|---|
| 五步框架 → 1~5 | 每次创作：按 1→5 顺序执行 |
| 实战模板 | 卡住不知道怎么开始时 |
| 常见误区 | 写完初稿后检查 |
| 出号自检清单 | 交付前最后一步 |
五步框架
第一步：定主题 + 态度 + 前提
一个段子的铺垫 = 主题 + 态度 + 前提。
| 要素 | 含义 | 常见错误 |
|---|---|---|
| 主题 | 你在讲什么（AI、恋爱、职场、消费） | 只有主题没有态度 = 废话 |
| 态度 | 你对这件事的感受（讽刺、荒诞、无奈、好笑） | 平淡叙述，没有任何立场 |
| 前提 | 你真正想表达的那个观点 | 观点不明确，读者不知道你想说什么 |
练习方法：拿到一个主题，先问自己"我对这件事的真实感受是什么？"——找到态度，再提炼前提。
好例子对比：
- 主题："AI 发展很快" → 平淡，没有态度
- 加态度："你研究 AI 会不会取代工作，老板在研究怎么用 AI 裁掉不会用 AI 的人" → 有态度（荒诞/讽刺），有前提（懂 AI 不一定保住工作）
@ally_foe 的 OPC 例子：
- 主题：AI创业
- 态度：讽刺
- 前提：技术很强但不懂商业的人也赚不到钱
- 输出："你今天免费帮性感女主播解决 AI 问题，明天免费帮可爱邻居解决 AI 问题，你这样能赚到钱才有鬼。"
- 为什么有传播？ 它同时涉及两性话题和商业道理，多层信息叠加。
第二步：构建预期违背
段子 = 铺垫 + 包袱。铺垫让观众产生一个期待，包袱打破这个期待。
铺垫 → 建立一条预期轨道
包袱 → 把读者从轨道上推下去
怎么找预期违背点：
- 找到人们对某件事的"默认叙事"
- 想想有没有一个角度是这个默认叙事之外的
- 把这个意外角度当作包袱
好例子：
- 预期：一个人进入 Web3 是因为看到了财富机会
- 实际："我进入 Web3，是因为被仇人陷害"
- 预期：创业故事 → 现实：江湖恩怨
- 这就是黑色幽默的本质
第三步：把普通事情夸张化
生活中很多事情本身没那么夸张，但你可以找到其中的荒谬点，然后放大。
三步法：
- 描述一个普通场景
- 找到这个场景里的矛盾或冲突
- 把矛盾放大到荒谬的程度
好例子——泡泡玛特：
- 普通场景：男生不理解女生花几千买玩偶
- 普通表达："男女消费观不同"（无聊）
- 夸张后："男生花 5000 块请朋友吃饭：兄弟情谊无价。花 5000 块买泡泡玛特：他妈的一个塑料玩具，女的就是容易被资本主义收割了。"
- 为什么浏览高？ 把一个真实矛盾放大，还上升到两性对立，精准踩中讨论区
第四步：制造焦虑和冲突（爆款原理）
很多人误解爆款内容，以为爆款就是提供信息。其实爆款很多时候来自情绪：恐惧、焦虑、愤怒、震惊。
信息 vs 情绪对比：
| 信息型（没人关心） | 情绪型（有人讨论） |
|---|---|
| "AI 很强" | "很多人还没学会 AI，已经有人开始用 AI 替代不会 AI 的人" |
| "个人 AI 博主可以做" | "个人 AI 博主永远做不大" |
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.
- 12d ago First seen · 199 lines · 83 tokens per session scan A 76234323314a
black-humor-writing is a skill published in the GitHub repository renky1025/agent-skills (11 stars, last pushed 2d ago), licensed MIT. It adds 83 tokens to every session and 2,447 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 77% identical to smart-search, differing in 250 lines, and is treated as a copy.
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