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.
npx skills add hezkvectory/hermes-edu-skills --skill adult-workplace-writinggit clone --depth 1 https://github.com/hezkvectory/hermes-edu-skillsWrote 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/hezkvectory/hermes-edu-skills/adult-workplace-writing)<a href="https://agentmods.dev/skills/hezkvectory/hermes-edu-skills/adult-workplace-writing"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/adult-workplace-writing/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/hezkvectory/hermes-edu-skills/adult-workplace-writing"><img src="https://agentmods.dev/badge/skills/hezkvectory/hermes-edu-skills/adult-workplace-writing.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 | $0.00061 | $0.01277 |
| Opus 5 | $0.00030 | $0.00639 |
| Sonnet 5 | $0.00012 | $0.00255 |
| Haiku 4.5 | $0.00006 | $0.00128 |
Grade A, and why
adult-workplace-writing 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 13d 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.
This is a copy
83% identical to adult-vocational-certificate — 100 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
职场写作 Skill
把职场写作从漂亮话变成目标明确、对象清楚、行动可落地的沟通文本。核心不是再推荐一堆资料,而是让用户今天能完成一个可检查的小成果。
这个 Skill 解决什么问题 / Problem
把职场写作从漂亮话变成目标明确、对象清楚、行动可落地的沟通文本。核心不是再推荐一堆资料,而是让用户今天能完成一个可检查的小成果。
最适合 / Best For
- 工作汇报、通知、邮件、方案和复盘
- 需要调整语气和结构
- 想让对方更快理解并行动
- 独立 Hermes Agent 用户搭建职场写作助手
不适合 / Not For
- 伪造事实、夸大业绩或误导承诺
- 违法、欺骗或不当职场沟通
- 只追求辞藻不解决目标
使用前请准备 / Inputs
- 沟通对象
- 写作目的
- 原始材料或初稿
- 希望对方采取的行动
- 语气/字数/渠道要求
推荐工作流 / Recommended Workflow
- 先确认读者和行动目标。
- 把材料分成背景、重点、证据和请求。
- 输出可发送版本。
- 提示语气、风险和后续跟进。
输出格式 / Output Format
- 沟通目标
- 结构建议
- 可发送版本
- 语气调整
- 风险提醒
- 跟进动作
质量检查 / Quality Checks
- 不能编造事实
- 行动项要明确
- 语气匹配对象
- 结论和请求要前置
没有平台工具时 / Standalone Fallback
- 材料太少时先追问关键事实。
- 无法确定对象时给正式/温和/简洁三个版本。
示例提示 / Example Prompts
- 帮我把这段工作汇报改得更清楚、有重点。
- 我要给客户发延期说明,帮我写得诚恳但不失专业。
适用场景 / When To Use
当学习者、家长、老师、学校或教育应用开发者需要处理以下场景时,可以使用这个 Skill。
最适合的场景:
- 职业技能
适用角色:
- 学习者
调用信号 / Invocation Signals
意图:
adult_workplace_writingcareer_learning职业技能
示例表达:
- 开始职场写作 Skill
- 帮我做职业技能
- 根据当前上下文执行职场写作 Skill
公开 Skill 契约 / Public Skill Contract
- Workflow:
adult_workplace_writing.run - Category:
career-learning - Stages:
adult - Subjects:
职业教育 - Abilities:
写作,表达 - Quality Tier:
curated - Standalone Support:
needs_user_input - Public Release:
recommended - Requires Tools:
context.load,entitlement.check,workflow.create,memory.write - Requires Data:
沟通对象,写作目的,原始材料或初稿,希望对方采取的行动,语气/字数/渠道要求 - Export Mode:
installable - Release Channel:
recommended
成熟度备注:
- 已按精品 Skill 标准补充边界、输入、工作流、输出格式和示例。
参数化使用 / Parameters
这个 Skill 不再把年级、册别、单元、知识点和难度拆成大量独立 Skill。请在调用时通过参数或自然语言补充这些信息。
- Grades:
成人学习 - Semesters:
模块 - Scenarios:
职业技能 - Difficulties:
基础,标准,提高 - Parameterized Dimensions:
grade,semester,unit,lesson,knowledgePointCodes,scenario,difficulty
独立 Hermes 使用方式 / Standalone Hermes Usage
这个 Skill 可以通过 Hermes 的 skills.external_dirs 作为外部 Skill 加载。
如果你有自己的工具、记忆、课程数据或 workflow runner,可以把它们与本 Skill 组合使用。如果没有外部工具,也可以直接使用上面的说明来引导对话,生成有用的学习或教学反馈。
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.
- 13d ago First seen · 144 lines · 61 tokens per session scan A 18cb5f0f5340
adult-workplace-writing is a skill published in the GitHub repository hezkvectory/hermes-edu-skills (94 stars, last pushed 3mo ago), licensed MIT. It adds 61 tokens to every session and 1,277 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to adult-vocational-certificate, differing in 100 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…