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.
git clone --depth 1 https://github.com/854771076/oh-my-claude-rolesWrote 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/commands/854771076/oh-my-claude-roles/create-prompt-template)<a href="https://agentmods.dev/commands/854771076/oh-my-claude-roles/create-prompt-template"><img src="https://agentmods.dev/badge/commands/854771076/oh-my-claude-roles/create-prompt-template/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/commands/854771076/oh-my-claude-roles/create-prompt-template"><img src="https://agentmods.dev/badge/commands/854771076/oh-my-claude-roles/create-prompt-template.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 | $0.00019 | $0.00311 |
| Opus 5 | $0.00010 | $0.00156 |
| Sonnet 5 | $0.00004 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
create-prompt-template scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
命令内容
根据用户提供的提示词名称和业务场景，生成完整符合企业级规范的提示词模板文件和Zod Schema文件。
提示词名称：$ARGUMENTS
执行步骤：
- 分析用户提供的业务场景和需求，确认核心目标、输入输出边界
- 创建
.prompt.ts格式的提示词文件，严格按照8模块结构生成框架 - 创建配套的
[prompt-name].schema.ts文件，定义输入和输出Zod Schema - 自动添加基础安全规则、异常处理规则、约束禁忌模块的标准模板内容
- 标记需要用户补充填充的内容，输出文件路径和下一步操作指引
检查要点：
- 必须使用LangChain.js ChatPromptTemplate标准封装
- 必须严格遵循8模块固定顺序，无内容模块标注「无特殊要求」
- Schema必须符合企业Zod类型安全规范，可直接导出供业务代码复用
- 必须预填入企业强制要求的基础安全合规规则
- 文件名必须符合企业规范，使用小写连字符命名
---
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 · 30 lines · 19 tokens per session scan A 1b5e7dc20c02
create-prompt-template is a command published in the GitHub repository 854771076/oh-my-claude-roles (22 stars, last pushed 5mo ago), licensed MIT. It adds 19 tokens to every session and 311 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 2026-08-30.
Other commands, from other repositories
prompt
System instructions for writing effective prompts. Apply when generating commands, skills, agents, or any LLM instructions.
prompt-show
Display full details of a saved prompt by ID.
music-suno-prompt
Grounded Suno prompt synthesis from local knowledge corpus + persona canon + label canon. No vibes-prompting.
ai
Load the Kaizen skill for production-ready AI agent implementation with signature-based programming and multi-agent coordination.
audit-prompt
Evaluate an existing prompt for clarity, effectiveness, and edge cases.
develop-image-prompt.eval
Generates a detailed image generation prompt from a document or content description. Good output: a prompt that is specific, visual, non-abstract, includes style/composition/lighting guidance, and is calibrated to the specified dimensions and style options.