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 agentmods add skills/peterfei/forge-skill/lateral-thinking-skillnpx skills add peterfei/forge-skill --skill lateral-thinking-skillgit clone --depth 1 https://github.com/peterfei/forge-skillWrote 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/peterfei/forge-skill/lateral-thinking-skill)<a href="https://agentmods.dev/skills/peterfei/forge-skill/lateral-thinking-skill"><img src="https://agentmods.dev/badge/skills/peterfei/forge-skill/lateral-thinking-skill.svg" alt="Measured on agentmods" 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 | $0.00163 | $0.13355 |
| Opus 5 | $0.00081 | $0.06678 |
| Sonnet 5 | $0.00033 | $0.02671 |
| Haiku 4.5 | $0.00016 | $0.01336 |
Grade A, and why
lateral-thinking-skill 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
横向思维 · 思维工具
"Lateral thinking is concerned not with playing with the existing pieces but with seeking to change those very pieces." — Edward de Bono, Lateral Thinking: Creativity Step by Step (1970)
"You cannot dig a hole in a different place by digging the same hole deeper." — Edward de Bono, The Use of Lateral Thinking (1967)
激活条件与触发词
- 直接调用:「用横向思维分析」「按横向思维的方式思考」「从这个角度切入问题」
- 语义触发:用户说"换个角度想""有没有完全不同的思路""这个思路好像走不通""我们陷入思维定势了""需要一个突破性的方案""不走寻常路""跳出框架""这个问题的常规解法都试过了"
- 组合调用:「先用横向思维生成创意,再用逆向思维筛选风险」「先用横向思维突破定势,再用第一性原理重构」「先用六顶思考帽全面审视,再用横向思维寻求突破」
- 场景触发:创意头脑风暴、产品创新设计、商业模式探索、组织变革规划、战略瓶颈突破、解决长期反复出现的问题
方法框架概览
横向思维是一种故意改变思维方向的方法论——不是沿着既定思路深入挖掘(纵向思维),而是刻意"走到旁边"切入问题。它通过打破认知模式的"自组织"特性、挑战被视为理所当然的前提、用随机刺激和刻意激发的荒诞命题来创造思维断层,让大脑强行跳出习惯性路径,从而抵达传统逻辑推理无法企及的解决方案空间。纵向思维告诉你如何把已有的事物做得更好,横向思维告诉你还有什么完全不同的事情可以做。
纵向思维 vs 横向思维:根本区别
| 维度 | 纵向思维(Vertical Thinking) | 横向思维(Lateral Thinking) |
|---|---|---|
| 方向 | 沿一条线索深入挖掘 | 向侧面跳跃,换一条新线索 |
| 目标 | 确定正确答案 | 生成新的可能性 |
| 逻辑要求 | 每一步都必须正确 | 中间步骤可以(且通常应该)是错误的 |
| 对信息的处理 | 选择和筛选,排除无关信息 | 引入看似无关的信息,挖掘隐藏关联 |
| 对模式的态度 | 强化已验证的模式 | 故意打破和重组模式 |
| 判断 | 实时判断,错即排除 | 延迟判断,错误中也可能有洞见 |
| 典型问题 | "这条路的尽头是什么?" | "有没有另一条完全不同的路?" |
| 成果性质 | 在现有框架内的优化和证明 | 创建新的框架和可能性 |
| 信息需求 | 信息足够才能做出正确结论 | 即使信息不完整也可以寻找新思路 |
| 最终状态 | 收敛到一个正确答案 | 发散到多个可能答案 |
| 类比 | 一口井越挖越深 | 换一个地方重新打井 |
de Bono 强调:纵向思维和横向思维并非对立,而是互补。纵向思维用于发展横向思维找到的思路——先横向探索可能性,再纵向验证和落地。这两者如同汽车的左右两个轮子,缺一不可。(来源:de Bono, Lateral Thinking: Creativity Step by Step, 1970;de Bono, Serious Creativity, 1992)
核心原理(5个,每个须附 ≥2 个跨域证据)
原理 1: 模式转换——跳出思维的自组织惯性,故意改变排列方式
一句话定义:大脑是一个自组织的模式系统,信息会自动按既有路径排列。横向思维通过刻意引入排列改变来打破这种自组织惯性。
跨域证据:
- 神经科学与认知心理学:de Bono 在 1960 年代通过对神经网络的类比研究提出了模式自组织理论——大脑处理信息的方式类似于一个自组织的模式系统:神经元之间的连接被使用得越多就越强,形成越来越深的"思维沟槽"。正是这种效率机制导致了思维定势。de Bono 发现,要打破这个机制,需要刻意引入"错配"信息迫使系统重组——这正是横向思维的核心操作。(来源:de Bono, The Mechanism of Mind, 1969)
- 医学发现史:Ignaz Semmelweis 在1847年发现医生接生前洗手能大幅降低产褥热死亡率。当时的主流医学认为疾病是"瘴气"引起的,Semmelweis 的发现无法被这个纵向思维框架解释——他没有用瘴气理论或其变体去"深入解释"数据,而是换了一个完全不同的框架(尸体微粒传播),这就是典型的模式转换。纵向思维在"瘴气"框架下越钻研越错误,只有横向切换框架才能抵达正确答案。(来源:Semmelweis, The Etiology, Concept, and Prophylaxis of Childbed Fever, 1861;Nuland, The Doctors' Plague, 2003)
- 商业战略创新:Southwest Airlines 没有在传统航空业的"枢纽辐射式"模式(已被验证且非常成熟)上做得更好,而是完全转换到点对点、单一机型、不提供餐食、不分配座位的全新模式。这种模式转换不是"在航空业内优化"——它在当时被权威人士认为是荒谬的——但它创造了一个全新的市场空间。David Neeleman 在创建 JetBlue 时使用了同样的模式转换思维。(来源:Freiberg & Freiberg, Nuts! Southwest Airlines' Crazy Recipe for Business and Personal Success, 1996)
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.
- 4d ago First seen · 298 lines · 163 tokens per session scan A d101f2e7a4b4
lateral-thinking-skill is a skill published in the GitHub repository peterfei/forge-skill (13 stars, last pushed 2mo ago), licensed MIT. It adds 163 tokens to every session and 13,355 once invoked, about $0.0008 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.
Other skills, from other repositories
paper-illustration
Generate publication-quality AI illustrations for academic papers using Gemini image generation. Creates architecture diagrams, method illustrations with Claude-supervised iterative refinement loop. Use when user says "生成图表", "画架构图", "AI绘图", "paper illustration", "generate diagram", or needs visual figures for papers.
paper-illustration-image2
Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation. This is a separate experimental alternative to paper-illustration, intended for Claude Code users who want a GPT-image-style renderer without modifying the original skill.
youtube-shorts-generator
Generate viral 9:16 YouTube Shorts (or TikTok/Reels clips) from a long-form YouTube URL or local video. Triggers on requests like "make shorts from this video", "extract viral clips from this YouTube link", "auto-clip this podcast", "find the best moments and crop vertical". Pipeline downloads the source, transcribes…
logo-creator
Create logos using AI image generation. Discuss style/ratio, generate variations, iterate with user feedback, crop, remove background, and export as SVG. Use when user wants to create a logo, icon, favicon, brand mark, mascot, emblem, or design a logo.
sprite-gen
Generate clean 2D game sprites and animation atlases with a component-row pipeline: base identity, numeric sprite-request SSoT, per-state layout guides, image-gen row strips, chroma-key alpha cleanup, connected-component frame extraction, cell-based atlas composition, QA reports, and runtime manifest framelayout. Its…
motion-system
Define motion tokens — durations, easing vocabulary, and reduced-motion handling — for consistency product-wide. Use when standardising motion across a system. For crafting one specific animation, use animation-principles (interaction-design).