Borrowing it
Nothing to install: this file belongs to jerrywu001/cc-sessions-viewer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/jerrywu001/cc-sessions-viewer/main/.agents/skills/skill-designer/SKILL.mdgit clone --depth 1 https://github.com/jerrywu001/cc-sessions-viewerWrote 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/jerrywu001/cc-sessions-viewer/skill-designer)<a href="https://agentmods.dev/skills/jerrywu001/cc-sessions-viewer/skill-designer"><img src="https://agentmods.dev/badge/skills/jerrywu001/cc-sessions-viewer/skill-designer/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/jerrywu001/cc-sessions-viewer/skill-designer"><img src="https://agentmods.dev/badge/skills/jerrywu001/cc-sessions-viewer/skill-designer.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 | $0.00027 | $0.02060 |
| Opus 5.5 | $0.00011 | $0.00824 |
| Sonnet 5.5 | $0.00005 | $0.00412 |
| Haiku 4.5 | $0.00003 | $0.00206 |
Grade A, and why
skill-designer 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 1mo 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 — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agent Skill Designer
一个教你怎么设计高质量SKILL.md内容的skill。当用户要创建新skill时自动触发。
核心概念
SKILL.md的格式已经标准化了，但内容设计才是难点。同样的skill，用不同模式组织，效果天差地别。
5种设计模式：
| 模式 | 核心作用 | 何时用 |
|---|---|---|
| Tool Wrapper | 让AI临时变成某个库的专家 | 传递框架/库的规范和使用惯例 |
| Generator | 按固定模板生成结构化文档 | 生成固定格式的输出物 |
| Reviewer | 按检查清单评分/审查 | 评审、审计、打分 |
| Inversion | AI先问你，再决定怎么做 | 需求不明确、需要引导 |
| Pipeline | 强制按步骤执行，有检查点 | 复杂任务、不能跳过步骤 |
第一步：判断用哪种模式
回答3个问题，快速定位：
Q1: 这个skill是要产生一个固定的文档/代码结构吗？
- 是 → Generator
- 否 ↓
Q2: 这个skill需要先收集用户信息才能工作吗？
- 是 → Inversion
- 否 ↓
Q3: 这个skill需要分步骤执行、不能跳过吗？
- 是 → Pipeline
- 否 ↓
Q4: 这个skill是让AI"学习"某个库的用法吗？
- 是 → Tool Wrapper
- 否 ↓
兜底: Reviewer（默认模式）
第二步：按模式写SKILL.md
Pattern 1: Tool Wrapper
适用场景：让AI在遇到特定技术栈时，自动加载最佳实践
核心结构：
## 核心规范
读取 'references/conventions.md' 获取完整规范
## 写作时
1. 加载规范文件
2. 严格遵守每一条规则
3. 为所有函数签名添加类型注解
## 审查时
1. 加载规范文件
2. 对照检查每一条
3. 对每个违规，引用具体规则并给出修复建议
关键点：
- 规范文件独立存放（
references/） - 只在真正需要时才加载（渐进式披露）
- 规则要具体、可执行
Pattern 2: Generator
适用场景：生成结构一致的文件（报告、文档、代码模板）
核心结构：
## 工作流程
Step 1: 加载样式指南
读取 'references/style-guide.md'
Step 2: 加载输出模板
读取 'assets/output-template.md'
Step 3: 询问缺失信息
向用户收集模板中缺失的变量：
- 主题是什么？
- 关键数据点？
- 目标读者？
Step 4: 填充模板
严格按照样式指南的规则填充每个section
Step 5: 输出
返回完整的Markdown文档
关键点：
- 模板和样式指南独立（
assets/+references/） - 必须向用户收集缺失变量
- 输出格式固定，不可自定义
Pattern 3: Reviewer
适用场景：代码审查、质量审计、安全检查
核心结构：
## 审查协议
Step 1: 加载检查清单
读取 'references/review-checklist.md'
Step 2: 理解代码
先读懂代码的目的，再开始批评
Step 3: 逐项检查
对每个违规项：
- 记录位置（行号或大概位置）
- 分类 severity：error / warning / info
- 解释为什么是问题
- 给出具体修复代码
Step 4: 输出结构化报告
- Summary：代码做什么、总体评价
- Findings：按 severity 分组
- Score：1-10分，简短理由
- Top 3 Recommendations：最有价值的改进
关键点：
- 检查清单独立（可替换）
- 按 severity 分组输出
- 每个问题要解释"为什么"而不只是"是什么"
Pattern 4: Inversion
适用场景：需求不明确、需要AI引导用户思考
核心结构：
## 采访式交互
你是主持人。**不要**在收集完所有信息前开始构建。
### Phase 1 — 问题发现（一次问一个，等回答）
Q1: 这个项目为用户解决什么问题？
Q2: 主要用户是谁？技术水平如何？
Q3: 预期规模？（日活、数据量、请求量）
### Phase 2 — 技术约束（仅在Phase 1完成后再问）
Q4: 部署环境是什么？
Q5: 技术栈有什么偏好或限制？
Q6: 有什么硬性要求？（延迟、可用性、合规、预算）
### Phase 3 — 整合（仅在所有问题回答后才执行）
1. 加载输出格式模板
2. 用收集的信息填充每个section
3. 呈现完整方案
4. 询问："这个方案准确吗？有什么要改的？"
5. 根据反馈迭代，直到用户确认
What ships with it
7 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.
- 1mo ago First seen · 275 lines · 27 tokens per session scan A 9784da9935cd
skill-designer is a skill published in the GitHub repository jerrywu001/cc-sessions-viewer (408 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 2,060 once invoked, about $0.0001 per session on Opus 5.5. 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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