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 yinqd3/workbuddy-skills --skill writing-skillsgit clone --depth 1 https://github.com/yinqd3/workbuddy-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/yinqd3/workbuddy-skills/writing-skills)<a href="https://agentmods.dev/skills/yinqd3/workbuddy-skills/writing-skills"><img src="https://agentmods.dev/badge/skills/yinqd3/workbuddy-skills/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/yinqd3/workbuddy-skills/writing-skills"><img src="https://agentmods.dev/badge/skills/yinqd3/workbuddy-skills/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 | $0.00050 | $0.00800 |
| Opus 5 | $0.00025 | $0.00400 |
| Sonnet 5 | $0.00010 | $0.00160 |
| Haiku 4.5 | $0.00005 | $0.00080 |
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 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.
What it actually says
编写 WorkBuddy Skill（元技能）
概述
Skill 封装了特定工作流——它不是文档，是塑造 AI 行为的代码。
Skill 的结构
skill-name/
├── SKILL.md # 主文件（必需）
└── references/ # 参考资料（可选）
├── guide-1.md
└── guide-2.md
SKILL.md 模板
---
name: skill-name
description: 用途+触发条件+触发词
agent_created: true
---
# Skill 标题
## 概述
[一段话说明这个 skill 做什么]
## 何时使用
- 触发条件 1
- 触发条件 2
- 触发词: xxx、yyy、zzz
## 核心铁律/硬门禁
[如果有不可违反的规则，放这里]
## 步骤/检查清单
1. **步骤 1** — 具体做什么
2. **步骤 2** — 具体做什么
...
## 工作流/流程图
[复杂流程可用文本流程图]
## 关键原则
- 原则 1
- 原则 2
## 反模式/红灯
[常见的错误做法，列出来警示]
Skill 设计原则
1. 清晰触发条件
描述什么时候该用这个 Skill，什么时候不该用。触发词要覆盖中英双语。
2. 强制流程
用 "MUST"、"强制"、"Hard Gate" 标记不可跳过的步骤。
3. 具体可执行
不是说"做代码审查"，而是：
- 运行
pytest -q - 检查 git diff
- 派发审查子代理（附带完整提示模板）
- 按严重程度分类问题
4. 处理边界情况
- 出错了怎么办？
- 不通过怎么办？
- 用户想跳过怎么办？（说明后果）
5. 给出示例
好的示例和差的示例对比，比纯文字更有效。
6. 保持精简
Skill 不是手册——只放 AI 每次执行时需要遵循的关键规则。
7. 中英双语
触发词和关键描述中英双语，覆盖不同表达习惯。
测试 Skill
写完 Skill 后：
- 用真实场景触发测试
- 观察 AI 的行为是否符合预期
- 收集反例——什么时候 Skill 没触发或触发错了
- 迭代调优
常见错误
| 错误 | 正确做法 |
|---|---|
| 描述太模糊（"做好代码审查"） | 给出具体检查清单和命令 |
| 触发条件太宽泛（匹配到不该匹配的任务） | 收紧触发词，加排除条件 |
| 步骤太复杂（AI 执行效率低） | 精简到最小必要步骤 |
| 没有错误处理 | 加"如果失败/不通过怎么办" |
| 纯英文（中文用户触发不了） | 加中文触发词和描述 |
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 · 107 lines · 50 tokens per session scan A c21130e1fa3d
writing-skills is a skill published in the GitHub repository yinqd3/workbuddy-skills (6 stars, last pushed 3mo ago), licensed MIT. It adds 50 tokens to every session and 800 once invoked, about $0.0003 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 2026-08-31.
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