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 LeonChaoX/qinyan-academic-skills --skill qinyan-nature-polishinggit clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-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/leonchaox/qinyan-academic-skills/qinyan-nature-polishing)<a href="https://agentmods.dev/skills/leonchaox/qinyan-academic-skills/qinyan-nature-polishing"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/qinyan-nature-polishing/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/leonchaox/qinyan-academic-skills/qinyan-nature-polishing"><img src="https://agentmods.dev/badge/skills/leonchaox/qinyan-academic-skills/qinyan-nature-polishing.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00133 | $0.01012 |
| Opus 5 | $0.00067 | $0.00506 |
| Sonnet 5 | $0.00027 | $0.00202 |
| Haiku 4.5 | $0.00013 | $0.00101 |
Grade A, and why
qinyan-nature-polishing 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 9d 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
沁言 Nature 学术润色
把润色分成“科学含义保护、段落逻辑修复、句子精修、最终核验”四层。不得用流畅度掩盖证据缺口。
工作边界
- 处理已有文本的翻译、重构、压缩与语言校准。
- 将从材料起草新章节交给
qinyan-nature-writing。 - 不新增实验、数据、统计、引用、机制或作者未表达的结论。
- 不把相关性改写为因果，不把趋势改写为显著，不把局部结果改写为普适结论。
执行流程
- 登记不可变事实。 提取数值、比较方向、样本、方法名、图表与引用位置，建立 fidelity ledger。
- 识别文本职责。 判断论文类型、章节、目标读者、目标期刊和字数限制。
- 诊断优先级。 按“论证断点 → 段落功能 → 句法与搭配 → 格式”处理，不从同义词替换开始。
- 重建段落。 让主题句定义本段任务，让证据句承担事实，让解释句受证据约束，让尾句自然推进。
- 精修句子。 优先明确主语与动作，减少空洞名词化、堆叠修饰和冗余元话语。
- 校准语气。 根据观察、关联、预测、干预和机制证据选择动词与限定语。
- 核对忠实度。 逐项检查数值、正负方向、比较对象、时态、引用归属和否定范围。
- 运行风格审计。 执行
python scripts/style_audit.py <file>，人工判断每条命中，不机械替换。
需要完整编辑协议时读取 references/editing-protocol.md。需要按章节处理时读取 references/section-style.md。
模式选择
clean：只返回可粘贴版本。annotated：返回润色稿、关键修改与科学风险。parallel：返回原文与改写的逐段对照。minimal：只修正错误和明显不自然表达，尽量保留作者声音。
默认使用 annotated；用户明确要求“只给结果”时使用 clean。
默认输出
润色设定
- 章节 / 目标读者 / 模式：
- 不可变事实：
润色稿
[revised text]
关键编辑说明
- [结构、语气、术语或压缩]
科学含义风险
- [原文存在歧义或证据不足之处]
AUTHOR_INPUT_NEEDED
- [必须由作者确认的事实]
质量门槛
- 保持全部数值、单位、比较方向、样本身份与引用意图。
- 保持术语和缩写在全文一致。
- 每段存在清楚的中心任务与信息推进。
- 避免套话、宣传式形容词、虚假精确性和机械的过渡词堆叠。
- 只有真实统计检验支持时才使用
significant/significantly。 - 不把作者谨慎表达擅自增强，也不为“更像 Nature”删除必要限制。
- 对无法仅靠语言修复的问题明确标记，不伪装修复完成。
资料路由
| 任务 | 读取 |
|---|---|
| 忠实度账本、四层编辑、语气校准、中译英 | references/editing-protocol.md |
| 标题、摘要、引言、结果、方法、讨论、结论 | references/section-style.md |
What ships with it
4 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.
- 9d ago First seen · 75 lines · 133 tokens per session scan A d15d72dc401d
qinyan-nature-polishing is a skill published in the GitHub repository LeonChaoX/qinyan-academic-skills (884 stars, last pushed 1mo ago), licensed MIT. It adds 133 tokens to every session and 1,012 once invoked, about $0.0007 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 2026-09-03.
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