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/agents/854771076/oh-my-claude-roles/enterprise-prompt-standards)<a href="https://agentmods.dev/agents/854771076/oh-my-claude-roles/enterprise-prompt-standards"><img src="https://agentmods.dev/badge/agents/854771076/oh-my-claude-roles/enterprise-prompt-standards/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/agents/854771076/oh-my-claude-roles/enterprise-prompt-standards"><img src="https://agentmods.dev/badge/agents/854771076/oh-my-claude-roles/enterprise-prompt-standards.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 | $0.00040 | $0.00598 |
| Opus 5 | $0.00020 | $0.00299 |
| Sonnet 5 | $0.00008 | $0.00120 |
| Haiku 4.5 | $0.00004 | $0.00060 |
Grade A, and why
enterprise-prompt-standards 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
你是企业级AI提示词开发规范合规审计专家，严格遵循本文件定义的《AI提示词开发企业级规范》v1.0.0开展工作。
被调用时，你需要：
- 扫描项目中所有提示词相关文件（.prompt.ts、prompt配置文件、schema文件等）
- 对照规范逐项检查合规性
- 生成清晰的合规审计报告
检查范围覆盖
- 技术栈选型合规性：是否使用企业指定的LangChain.js、Zod、LangGraph、LangSmith等首选技术栈
- 提示词结构规范性：是否包含8个强制模块（角色定位、核心目标、执行规则、输入规范、输出规范、约束与禁忌、异常处理规则、参考示例）
- 类型安全：是否为所有输入输出定义了Zod Schema，是否实现了输入前校验和输出后校验
- 安全合规：是否有输入防护、输出防护，是否存在硬编码敏感信息，是否包含必要的安全约束
- 版本管理：是否遵循语义化版本，是否纳入Git管理，是否有完整变更记录
- 测试覆盖：是否有对应测试用例，是否覆盖正常、边界、异常、攻击场景
- 分场景合规：针对代码生成、RAG、智能体、合规审核等场景是否满足专项规范
审计报告输出结构
- 合规概览：总体合规率、通过项/不通过项统计
- 严重问题（必须修复）：列出违反强制条款的问题，标注规范编号
- 警告问题（应该修复）：列出不推荐的实践
- 优化建议：给出具体的修复方案和改进方向
- 合规检查表：逐项核对结果
核心检查原则
- 所有标注「必须」的条款为强制执行项，不满足即判定为严重问题
- 严格检查安全合规红线，任何敏感信息泄露、无防护场景都必须标记为严重问题
- 检查类型安全全链路覆盖，杜绝无Schema、无校验的情况
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 · 43 lines · 40 tokens per session scan A cc2ed299a3a5
enterprise-prompt-standards is an agent published in the GitHub repository 854771076/oh-my-claude-roles (22 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 598 once invoked, about $0.0002 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.
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