Borrowing it
Nothing to install: this file belongs to hhhh124hhhh/godot-mcp. 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/hhhh124hhhh/godot-mcp/main/.claude/skills/godot-skills/sub-skills/skill-creator_技能创建器/SKILL.mdgit clone --depth 1 https://github.com/hhhh124hhhh/godot-mcpWrote 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/hhhh124hhhh/godot-mcp/skill-creator_)<a href="https://agentmods.dev/skills/hhhh124hhhh/godot-mcp/skill-creator_"><img src="https://agentmods.dev/badge/skills/hhhh124hhhh/godot-mcp/skill-creator_/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/hhhh124hhhh/godot-mcp/skill-creator_"><img src="https://agentmods.dev/badge/skills/hhhh124hhhh/godot-mcp/skill-creator_.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 | $0.00046 | $0.02407 |
| Opus 5.5 | $0.00018 | $0.00963 |
| Sonnet 5.5 | $0.00009 | $0.00481 |
| Haiku 4.5 | $0.00005 | $0.00241 |
Grade A, and why
skill-creator 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 2mo 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 — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.
技能创建器
本技能提供打造高效技能的完整指南。
关于技能
技能是模块化、可复用的封装，能为 Claude 提供专业知识、流程与工具。可将其视作特定领域或任务的“入职手册”——它们让 Claude 从通用型智能体转变为具备特定程序化知识的专家型智能体，这些知识无法完全依赖模型记忆。
技能可以提供什么
- 专业工作流——针对具体领域的多步骤流程
- 工具集成——关于特定文件格式或 API 的操作指引
- 领域知识——公司特定知识、数据结构、业务逻辑
- 随附资源——脚本、参考资料、素材等，用于复杂或重复任务
技能结构
每个技能都由必需的 SKILL.md 文件与可选的捆绑资源组成：
skill-name/
├── SKILL.md (必需)
│ ├── YAML 前言区元数据（必需）
│ │ ├── name:（必需）
│ │ └── description:（必需）
│ └── Markdown 指令内容（必需）
└── Bundled Resources（可选）
├── scripts/ - 可执行代码（Python/Bash 等）
├── references/ - 需按需加载到上下文的文档
└── assets/ - 输出过程中使用的文件（模板、图标、字体等）
SKILL.md（必需）
元数据质量： name 与 description 决定 Claude 何时触发该技能。务必精准描述技能功能及适用场景。使用第三人称描述（例如 “This skill should be used when…”），不要使用第二人称。
捆绑资源（可选）
scripts（scripts/）
用于需要确定性或频繁复用的可执行代码（如 Python、Bash 等）。
- 适用场景：同一段代码反复编写，或对确定性要求较高
- 示例：
scripts/rotate_pdf.py（旋转 PDF） - 优势：节省 token，执行稳定，可无需加载到上下文
- 注意：仍可能需要 Claude 阅读脚本以适应环境或进行修改
references（references/）
用于按需加载的文档或参考资料，指导 Claude 的思考与流程。
- 适用场景：需要 Claude 在执行时参考的文档
- 示例：
references/finance.md（金融数据结构）、references/mnda.md（公司保密协议模板）、references/policies.md（公司政策）、references/api_docs.md（API 规格） - 用途：数据库结构、API 文档、领域知识、公司政策、详细流程指南
- 优势：保持 SKILL.md 精简，Claude 仅在需要时加载
- 最佳实践：若文件较大（>10k 字），在 SKILL.md 中提供 grep 搜索提示
- 避免重复：信息应在 SKILL.md 或 references 中二选一。除非真正核心，详细资料应放在 references，SKILL.md 只保留关键流程指引。
assets（assets/）
用于输出中直接引用的文件，不必加载到上下文。
- 适用场景：技能产出需要使用的文件
- 示例：
assets/logo.png（品牌素材）、assets/slides.pptx（PPT 模板）、assets/frontend-template/（HTML/React 脚手架）、assets/font.ttf（字体） - 用途：模板、图片、图标、样板代码、示例文档
- 优势：将输出素材与文档分离，Claude 可直接使用这些文件
渐进式披露原则
技能通过三层加载策略高效利用上下文：
- 元数据（name + description） —— 永远加载（约 100 字）
- SKILL.md 正文 —— 技能触发时加载（<5k 字）
- 捆绑资源 —— Claude 视需求加载（理论无限*）
*脚本可直接执行，无需进入上下文窗口，因此视作无限。
技能创建流程
创建技能时，请按照以下流程执行，除非有明确理由，否则不应跳过步骤。
第 1 步：通过具体示例理解技能
仅当对技能的使用模式已十分清晰时才可跳过此步。即使是已有技能，重新梳理仍然有价值。
What ships with it
4 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.
- 2mo ago First seen · 206 lines · 46 tokens per session scan A 4ce26ebf0604
skill-creator is a skill published in the GitHub repository hhhh124hhhh/godot-mcp (43 stars, last pushed 11mo ago), licensed MIT. It adds 46 tokens to every session and 2,407 once invoked, about $0.0002 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.
skill-creator compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skill-creatorhhhh124hhhh/godot-mcp | Skill | 43 | 11mo ago | MIT | A | 46 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |