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 cafe3310/public-agent-skills --skill content-tone-adjustergit clone --depth 1 https://github.com/cafe3310/public-agent-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/cafe3310/public-agent-skills/content-tone-adjuster)<a href="https://agentmods.dev/skills/cafe3310/public-agent-skills/content-tone-adjuster"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/content-tone-adjuster/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/cafe3310/public-agent-skills/content-tone-adjuster"><img src="https://agentmods.dev/badge/skills/cafe3310/public-agent-skills/content-tone-adjuster.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 | $0.00033 | $0.00639 |
| Opus 5 | $0.00016 | $0.00319 |
| Sonnet 5 | $0.00007 | $0.00128 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade A, and why
content-tone-adjuster 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 11d 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
内容语气调整 (Content Tone Adjuster)
描述
此技能旨在帮助 Agent 对既有文本或文档进行深度的风格和语气调整。
当前，它集成了三种常用的文本调整方向：
- 去 AI 腔调 (Remove AI Artifacts): 侧重于消除 AI 生成文本中的套路化表达、过度奉承、长难句和刻板的机器感，让行文更像人类自然写的散文或博客。
- 平实务实化 (Grounded Writing): 侧重于去除职场“大词”、“黑话”与宏大叙事，将浮夸修辞转化为低调、务实、平实的操作性语言，适用于工作汇报或 OKR。
- 极简直白风 (Talk Normal): 侧重于极度精简、直接断言、不绕弯子、拒绝正反对比句式和总结性套话，适合快速问答、技术解答或核心观点输出。
工作流
当用户激活或使用此技能时，请严格按照以下步骤执行：
第一步：询问调整意向
直接询问用户：“您希望执行哪种类型的调整？请选择或直接输入您的要求：\n1. 去 AI 腔调 (消除 AI 机器感与刻板表达)\n2. 平实务实化 (去除职场大词与宏大叙事)\n3. 极简直白风 (直言断定，不加废话与套路铺垫)”
注意：在此处必须等待用户回复。在用户做出选择之前，不要进行任何文本处理。
第二步：加载对应系统提示词
根据用户的选择，使用文件读取工具加载对应的规则提示词：
- 如果用户选择“1”或“去 AI 腔调”，请读取文件：
skills/content-tone-adjuster/remove-ai-artifacts/prompt.md - 如果用户选择“2”或“平实务实化”，请读取文件：
skills/content-tone-adjuster/grounded-writer/prompt.md - 如果用户选择“3”或“极简直白风”，请读取文件：
skills/content-tone-adjuster/talk-normal/prompt.md
第三步：执行调整
读取完对应的提示词后，遵循该提示词内部定义的“执行流程”和“基本建议/改写原则”，与用户配合完成后续的改写工作。 注意，改写的时候用编辑工具，不要大范围完整重写，除非用户要求。
What ships with it
3 files 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.
- 11d ago First seen · 43 lines · 33 tokens per session scan A 257b96cca4c7
content-tone-adjuster is a skill published in the GitHub repository cafe3310/public-agent-skills (253 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 33 tokens to every session and 639 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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