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 agentmods add skills/malue-ai/dazee-small/humanizernpx skills add malue-ai/dazee-small --skill humanizergit clone --depth 1 https://github.com/malue-ai/dazee-smallWrote 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/malue-ai/dazee-small/humanizer)<a href="https://agentmods.dev/skills/malue-ai/dazee-small/humanizer"><img src="https://agentmods.dev/badge/skills/malue-ai/dazee-small/humanizer.svg" alt="Measured on agentmods" 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 | $0.00030 | $0.00603 |
| Opus 5 | $0.00015 | $0.00302 |
| Sonnet 5 | $0.00006 | $0.00121 |
| Haiku 4.5 | $0.00003 | $0.00060 |
Grade A, and why
humanizer 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 5d 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 smart-search — 179 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.
What it actually says
去 AI 味润色
帮助用户去除 AI 生成文本的痕迹，让内容读起来更像真人写的。
使用场景
- 用户说「帮我去掉 AI 味」「让这段话更自然」「润色一下，别让人看出是 AI 写的」
- 用户用 AI 写了文章/邮件/报告，需要发出去前做最后润色
- 用户觉得某段文字「太像 AI 了」，想改得更有人味
执行方式
直接使用 LLM 能力完成，无需额外工具。
核心原则
- 打破 AI 套路：避免「首先…其次…最后…」「总而言之」「值得注意的是」等典型 AI 句式
- 增加不完美感：适当使用口语化表达、不规则句式、个人化语气词
- 注入真实感：加入具体的细节、个人视角、情感色彩
- 保持自然节奏：长短句交替，避免每段都是三句话的工整结构
常见 AI 痕迹及处理
| AI 痕迹 | 处理方式 |
|---|---|
| 「首先…其次…最后…」 | 改为自然过渡，不编号 |
| 「值得注意的是」「需要强调的是」 | 删除或换成口语化表达 |
| 「在当今社会」「随着…的发展」 | 直接切入主题 |
| 每段长度一致、结构对称 | 打破对称，长短段混搭 |
| 过度使用连接词 | 减少连接词，用短句直接衔接 |
| 列举总是三个要点 | 可以是两个、四个、或不列举 |
风格等级
- 轻度去 AI 味：保持结构，只替换典型 AI 用语
- 中度去 AI 味（默认）：调整句式结构，增加口语化表达
- 重度去 AI 味：大幅重写，注入强烈个人风格
输出规范
- 默认执行「中度去 AI 味」
- 展示修改前后对比（用删除线标注关键改动）
- 如果用户有记忆中的写作风格偏好，按偏好风格润色
- 保持原文核心信息不变，只调整表达方式
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.
- 5d ago First seen · 56 lines · 30 tokens per session scan A 6b1b75ff0f63
humanizer is a skill published in the GitHub repository malue-ai/dazee-small (36 stars, last pushed 5mo ago), licensed MIT. It adds 30 tokens to every session and 603 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 83% identical to smart-search, differing in 179 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…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
imagegen
Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output…