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 open-octo/octo-agent --skill line-polishgit clone --depth 1 https://github.com/open-octo/octo-agentWrote 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/open-octo/octo-agent/line-polish)<a href="https://agentmods.dev/skills/open-octo/octo-agent/line-polish"><img src="https://agentmods.dev/badge/skills/open-octo/octo-agent/line-polish/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/open-octo/octo-agent/line-polish"><img src="https://agentmods.dev/badge/skills/open-octo/octo-agent/line-polish.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 | $0.00112 | $0.01212 |
| Opus 5 | $0.00056 | $0.00606 |
| Sonnet 5 | $0.00022 | $0.00242 |
| Haiku 4.5 | $0.00011 | $0.00121 |
Grade A, and why
line-polish 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
Skill: line-polish
段落润色是在稿子结构已经站得住脚之后做的事——改善文字的移动方式，同时 保留作者的语气。这不是"帮你写得更好看"，是帮你去掉阻碍阅读的东西， 留下你自己的声音。
怎么读
按读者阅读的速度读，不是扫描找错误。段落润色关心的是文字本身的质感： 节奏、推进感、清晰度、语气。听哪里读着卡壳、哪里突然变得平淡、哪里说得 太多、哪里丢掉了作者原本的表达方式。
先摸清这个作者的语气，再动手。 读够多的材料，知道"这个作者的文字" 听起来是什么样——句子的习惯节奏、用词范围、情绪基调。一次把作者语气磨成 "正确但没有个性的通用好文字"的润色，是失败的润色。
找规律，不要逐句罗列。 一份罗列了五十个具体句子问题的润色意见教不会 作者什么。找出三四个反复出现的模式，命名它们，给代表性例子，让作者自己 把这个认识套用到全文。
检查维度
- 语气：这段文字属不属于这个作者、这篇文章的语域和项目风格？还是已经 漂移成了"正确但没有个性"的通用文字？
- 节奏：句子长短、段落切分、标点、停顿是不是随着内容的重要性/情绪 强度在变化？还是不管发生什么都是同一个速度？
- 清晰度：读者能不能不靠额外解释就跟上动作、指代关系、逻辑推进？ 含糊不等于深刻。
- 质感：细节是具体而精选的，还是泛泛而堆砌的？一个精准的例子胜过 三个凑合的例子。
- 潜台词/留白：（如果是对话/引用体写作）说出来的内容是不是承载了 比字面更多的信息？有没有该留白却说破的地方？
- 冗余：这是AI生成文本里最常见的表层问题——文字已经通过描写/ 论证做到了某种效果，后面又来一句话把这个效果解释一遍。比如一段话已经 通过具体的场景描写让读者感受到紧张，结果结尾又加一句"这让人感到十分 紧张"。检查有没有这种"做完了再解释一遍自己做了什么"的模式。
输出格式
对每个发现的模式：命名它，说明这个模式让读者付出了什么代价，给两三个 带具体位置的代表性例子，说明改进的方向。用"视角更清晰""意象更干净" "节奏更有力""少一点解释""指代更明确"这类具体说法，说清楚文字能获得 什么，而不只是指出哪里不对。
保留有意为之的粗粝感、含糊、留白、重复或破碎的节奏——如果这些是为了 服务语气或效果。拿不准是刻意选择还是失误的时候，说出来问，不要直接改。
边界
- 不解决结构问题。如果一段读起来卡，是因为它在整篇文章里就不该出现在
这个位置，润色文字解决不了——回到
structural-diagnosis。 - 不磨平作者的语气。目标是让这段文字更好地成为它自己，不是变成"标准 好文字"。
- 不逐句列问题清单。找模式，给代表性例子，让作者自己应用到全文，而不是 把每一句都改一遍——那样作者学不到规律，下次还是同样的问题。
What ships with it
2 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.
- 8d ago First seen · 73 lines · 112 tokens per session scan A 27490d91267a
line-polish is a skill published in the GitHub repository open-octo/octo-agent (99 stars, last pushed today), licensed MIT. It adds 112 tokens to every session and 1,212 once invoked, about $0.0006 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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