Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/zhaixin244-wq/fnwnpx agentmods add skills/zhaixin244-wq/fnw/writing-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/zhaixin244-wq/fnw/writing-skills)<a href="https://agentmods.dev/skills/zhaixin244-wq/fnw/writing-skills"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/writing-skills/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/zhaixin244-wq/fnw/writing-skills"><img src="https://agentmods.dev/badge/skills/zhaixin244-wq/fnw/writing-skills.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 | $0.00023 | $0.06085 |
| Opus 5 | $0.00012 | $0.03043 |
| Sonnet 5 | $0.00005 | $0.01217 |
| Haiku 4.5 | $0.00002 | $0.00609 |
Grade A, and why
writing-skills 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 8d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- writing-skills — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 655 lines — stays where its author put it; the contents beside it link to each section on GitHub.
编写技能
概述
编写技能就是将测试驱动开发应用于流程文档。
个人技能存放在智能体特定的目录中（Claude Code 用 ~/.claude/skills，Codex 用 ~/.agents/skills/）
你编写测试用例（带子智能体的压力场景），观察它们失败（基线行为），编写技能（文档），观察测试通过（智能体遵守规则），然后重构（堵住漏洞）。
核心原则： 如果你没有观察到智能体在没有该技能时失败，你就不知道这个技能是否教了正确的东西。
必需背景： 在使用此技能前，你必须理解 superpowers:test-driven-development。该技能定义了基本的红-绿-重构循环。本技能将 TDD 适配到文档编写中。
官方指南： Anthropic 官方的技能编写最佳实践请参见 anthropic-best-practices.md。该文档提供了补充本技能 TDD 导向方法的额外模式和指南。
什么是技能？
技能是经过验证的技术、模式或工具的参考指南。技能帮助未来的 Claude 实例找到并应用有效的方法。
技能是： 可复用的技术、模式、工具、参考指南
技能不是： 关于你某次如何解决问题的叙事
TDD 映射到技能
| TDD 概念 | 技能创建 |
|---|---|
| 测试用例 | 带子智能体的压力场景 |
| 生产代码 | 技能文档（SKILL.md） |
| 测试失败（红） | 智能体在没有技能时违反规则（基线） |
| 测试通过（绿） | 智能体在有技能时遵守规则 |
| 重构 | 在保持合规的同时堵住漏洞 |
| 先写测试 | 在编写技能之前先运行基线场景 |
| 观察失败 | 记录智能体使用的确切合理化借口 |
| 最小代码 | 编写针对那些具体违规行为的技能 |
| 观察通过 | 验证智能体现在遵守规则 |
| 重构循环 | 发现新的合理化借口 → 堵住 → 重新验证 |
整个技能创建过程遵循红-绿-重构。
何时创建技能
创建条件：
- 技术对你来说不是直觉上显而易见的
- 你会在不同项目中反复引用
- 模式具有广泛适用性（非项目特定）
- 其他人也会受益
不要创建：
- 一次性解决方案
- 其他地方有充分文档的标准实践
- 项目特定的约定（放在 CLAUDE.md 中）
- 机械性约束（如果可以用正则/验证强制执行，就自动化——文档留给需要判断的场景）
技能类型
技术类
有具体步骤的方法（condition-based-waiting、root-cause-tracing）
模式类
思考问题的方式（flatten-with-flags、test-invariants）
参考类
API 文档、语法指南、工具文档（office docs）
目录结构
skills/
skill-name/
SKILL.md # 主参考文档（必需）
supporting-file.* # 仅在需要时
扁平命名空间 - 所有技能在一个可搜索的命名空间中
分离文件的情况：
- 大量参考内容（100+ 行）- API 文档、全面的语法说明
- 可复用工具 - 脚本、实用程序、模板
保持内联：
- 原则和概念
- 代码模式（< 50 行）
- 其他所有内容
SKILL.md 结构
Frontmatter（YAML）：
- 两个必需字段：
name和description（完整支持字段参见 agentskills.io/specification） - 总计最多 1024 字符
name：只使用字母、数字和连字符（不要用括号、特殊字符）description：第三人称，仅描述何时使用（不是做什么）- 以"Use when..."开头，聚焦于触发条件
- 包含具体的症状、场景和上下文
- 绝不总结技能的流程或工作流（参见 CSO 章节了解原因）
- 尽量控制在 500 字符以内
---
name: Skill-Name-With-Hyphens
description: Use when [具体的触发条件和症状]
---
# 技能名称
## 概述
这是什么？用 1-2 句话说明核心原则。
## 何时使用
[如果决策不明显，使用小型内联流程图]
症状和用例的要点列表
不适用的场景
## 核心模式（技术/模式类）
前后代码对比
## 快速参考
用于快速浏览常见操作的表格或要点
## 实现
简单模式内联代码
大量参考或可复用工具链接到文件
## 常见错误
常见问题 + 修复方法
## 实际效果（可选）
具体结果
What ships with it
6 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.
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.
- 8d ago First seen · 655 lines · 23 tokens per session scan A 0d1d2f84c062
writing-skills is a skill published in the GitHub repository zhaixin244-wq/fnw (29 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 6,085 once invoked, about $0.0001 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 2026-09-03.
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