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Hermes 导入技能

将本地 Hermes 操作员工作流转换为经过净化的 ECC 技能和发布包工件。在准备将 Hermes 工作流公开用于 ECC 重用,且不泄露私有工作空间状态、凭据或本地路径时使用。

Hermes 导入技能 是什么?

此技能主要用于将本地 Hermes 操作员工作流转换为可以在 ECC(可重用工作流层)中安全发布和重用的标准化技能。Hermes 是操作员 shell,而 ECC 是可重用工作流层。该技能的核心任务是将 Hermes 中重复出现的稳定模式迁移到 ECC,同时确保不泄露任何私有状态。它适用于那些已经多次重复、需要变成公共技能的本地工作流。使用此技能时,必须遵循严格的导入规则,例如将本地路径转换为仓库相对路径、用角色标签替换真实账户名称、仅按提供商名称描述凭据需求。此外,技能还包括一个详细的净化检查清单,涵盖绝对路径、API 密钥、令牌、个人邮箱、客户名称等敏感信息。转换模式分为六个步骤:识别可重复的操作循环、剥离私有输入输出、重写路径、创建“何时使用”部分、添加具体输出要求、在提 PR 前运行机密和本地路径扫描。技能还提供了发布交接和静默时段操作的示例,以说明如何将本地提示转换为 ECC 安全版本。该技能最终输出候选 ECC 技能名称、净化的工作流摘要、必需的公共输入、已移除的私有输入、剩余风险以及需要创建或更新的文件列表。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/hermes-imports

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打开一个已预加载此 Agent Skill 的新对话。

文档

Hermes 导入技能 是做什么的?

当要将一个重复的 Hermes 工作流转变为可在 ECC 中安全发布的内容时,请使用此技能。

Hermes 是操作员 shell。ECC 是可重用工作流层。导入功能应将 Hermes 中的稳定模式迁移到 ECC,同时不移动任何私有状态。

何时使用

  • Hermes 工作流已重复足够多次,需要变成可重用的。
  • 一个本地操作员提示应该变成一个公开的 ECC 技能。
  • 需要一个经过净化的交接文档的发布、内容、研究或工程工作流。
  • 工作流中提到了本地路径、凭据、个人数据集或私有账户名称,在发布前必须移除。

导入规则

  • 将本地路径转换为仓库相对路径或占位符。
  • 将真实账户名称替换为角色标签,例如 operator、default profile 或 workspace owner。
  • 仅按提供商名称描述凭据要求。
  • 保持示例简洁且可操作。
  • 不要发布原始的工作区导出、令牌、OAuth 文件、健康数据、CRM 数据或财务数据。
  • 如果工作流必须依赖私有状态才能理解,请将其保留在本地。

净化检查清单

在提交导入的工作流之前,请检查是否存在以下内容:

  • 绝对路径,例如 /Users/...
  • ~/.hermes 路径,除非文档明确说明是本地设置
  • API 密钥、令牌、cookies、OAuth 文件或 bearer 字符串
  • 电话号码、私人电子邮件地址和个人联系人信息
  • 客户名称、家族名称或尚未公开的账户名称
  • 收入、健康或 CRM 详情
  • 包含来自私有系统的工具输出的原始日志

转换模式

  1. 识别可重复的操作循环。
  2. 剥离私有输入和输出。
  3. 将本地路径重写为仓库相对路径示例。
  4. 将一次性指令转换为 何时使用 部分和一个简短流程。
  5. 添加具体的输出要求。
  6. 在打开 PR 之前运行一次机密和本地路径扫描。

示例:发布交接

本地 Hermes 提示:

读取我的本地工作区文件并最终确定发布文案。

ECC 安全版本:

使用 `docs/releases/<version>/` 下的公共发布包。
返回一条 X 帖子、一条 LinkedIn 帖子、一份录制检查清单以及缺失的资产列表。

示例:静默时段操作员作业

本地 Hermes 作业:

夜间运行我的私人收件箱、财务和内容检查。

ECC 安全版本:

描述调度策略、静默时段窗口、升级规则以及检查类别。不包括私有数据源或凭据。

输出合同

返回:

  • 候选的 ECC 技能名称
  • 净化的工作流摘要
  • 必需的公共输入
  • 已移除的私有输入
  • 剩余风险
  • 应创建或更新的文件

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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