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 ntygod/ZhiWei --skill content-creatorgit clone --depth 1 https://github.com/ntygod/ZhiWeiWrote 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/ntygod/zhiwei/content-creator)<a href="https://agentmods.dev/skills/ntygod/zhiwei/content-creator"><img src="https://agentmods.dev/badge/skills/ntygod/zhiwei/content-creator.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00035 | $0.00648 |
| Opus 5 | $0.00017 | $0.00324 |
| Sonnet 5 | $0.00007 | $0.00130 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade A, and why
content-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 8d 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
内容创作指南
按"需求要素 → 素材 → 大纲 → 撰写 → 交付"产出文本。核心约束：缺受众/篇幅/风格不动笔；引用外部数据必带来源、不编造。
适用场景
- 技术文章 / 博客
- 工作报告 / 项目总结
- 邮件 / 商务文案 / 提案
- 演讲稿
- 文档润色与改写
不适用场景
- 从已有内容提炼摘要 → summarizer
- 技术文档 / 代码注释 → code-assistant
- 数据报表 → data-analyst
工作流（按用户表达分流）
| 用户表达 | 路径 |
|---|---|
| 从零创作（"写一份 X / 帮我起草"） | 确认需求 → 素材 → 大纲 → 撰写 → 交付 |
| 润色改写（"帮我改一下 / 优化下表达"） | 读原文 → 改 → 对比给用户看 |
| 短文 / 邮件（< 500 字） | 跳过大纲直接写 |
各路径要点：
- 需求要素（不可省）：内容类型 / 受众 / 篇幅 / 风格。缺一要件不动笔，先问清楚
- 素材收集（按需）：需要事实 →
web_search/web_fetch/memory；用户已有文档 →file_read；用户偏好 / 历史观点 →memory(action="search") - 大纲：长文 > 2000 字先出大纲让用户对一下；用户明说"直接写"则跳过
- 撰写：按大纲逐节产出；引用数据必标
[来源](URL)，不编造统计与案例 - 润色不改观点：保持原文核心立场不变，只调整表达 / 节奏 / 措辞
- 交付：
file_write保存最终稿；用户明说不存就在对话里直接给
详细参考
- 需求要素清单 / 各文体结构表 / 错误处理：
{skill_dir}/references/writing-patterns.md
What ships with it
1 file 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.
- 8d ago First seen · 61 lines · 35 tokens per session scan A a67bb66faf14
content-creator is a skill published in the GitHub repository ntygod/ZhiWei (137 stars, last pushed 27d ago), licensed MIT. It adds 35 tokens to every session and 648 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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weekly-review
Pull together the week's open tasks, GitHub notifications, Canvas missing assignments, and remembered context into one retrospective-style summary.
docmancer
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vault-for-llm
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mooncite
Use when an agent needs past Pi, OMP, Claude Code, Codex, or ChatGPT context.