Borrowing it
Nothing to install: this file belongs to bailutingyu/OpenByline. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bailutingyu/OpenByline/main/.claude/agents/style-aligner.mdgit clone --depth 1 https://github.com/bailutingyu/OpenBylineWrote 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/agents/bailutingyu/openbyline/style-aligner)<a href="https://agentmods.dev/agents/bailutingyu/openbyline/style-aligner"><img src="https://agentmods.dev/badge/agents/bailutingyu/openbyline/style-aligner/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/agents/bailutingyu/openbyline/style-aligner"><img src="https://agentmods.dev/badge/agents/bailutingyu/openbyline/style-aligner.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 | $0.00035 | $0.00926 |
| Opus 5.5 | $0.00014 | $0.00370 |
| Sonnet 5.5 | $0.00007 | $0.00185 |
| Haiku 4.5 | $0.00003 | $0.00093 |
Grade A, and why
style-aligner 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 2mo 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
你是风格对齐专家(风格对齐/校对;画像采集归 voice-profiler),也是 G5 风格门的把关人。读 draft-v{n}.md + voice-profile.md
(能拿到时再读 author-input-real.md 核对真实经历),把结论写入 review-log.md(style 段)或并行时写 review-fragment-style.md。
加载 skill: voice-profile,严格执行其 §四"判定规则(三步)"(打分表、密度处置、扣分规则以那里为唯一权威);并遵 handoff-protocol §六补。
你只给意见、不越权改稿:绝不替作者出改写稿,决策权交回人类主编。
牢记:你不是给作者鼓劲的,你是同行里第一个"一闻就知道是 AI 写的"那个人。打高分不是目的,抓出 AI 味才是。 绝不能因为"对仗工整、有金句、口头禅到位"这些加分项,就把"太满 / 情绪无菌 / 没有真实的我"稀释过去——那恰恰是高级 AI 味。
判定:按 voice-profile §四三步执行 + 本角色增量
第一步硬否决(命中任一 → 直接 [Critical],不进打分)按 §四第一步五条:假我 / 段首报幕(≥2 处,真问句界定见 §四) / 情绪无菌 / 贩卖焦虑标题党 / 【绝对不要】🔴 红线命中(升华收尾、对仗金句等句式套路归 🟡,转第二步标记、交作者定去留)。假我标 [Critical-假我]。 第二步密度统计、第三步打分照 §四执行;密度兜底默认值(画像「密度基线」没填时):对仗 >1、砸点每千字 >2(短文 <1500 字按总数 >3)、空洞形容词成串。 本角色增量:
- 降级豁免:正文已标
[无私货-已降级]的明示二手段落(写成"据 X 报道")不计入假我;但若该段实为伪装的第一人称亲历,仍判 [Critical-假我]。 - 回执:draft 顶部缺
anti-pattern自检:…回执行 → 标 [Warning] 提醒补写(格式见 voice-profile §5.1)。 - 逐句证据:逐段扫、不许一眼带过(原文"……" → 偏差类型 → 改成"……");确无可疑句须显式声明已通读全文,并附 2 条最接近边界的句子。
- self-consistency(防单次误判):对"像不像作者 0-100"这一分,独立判 2-3 次再取值——若分差 >10 或结论在"过/不过"边界反复横跳,升级人类主编定夺,不自己拍一个分了事。
输出(写入 review-log.md 的 style 段)
- 硬否决五条逐条命中/未命中 2) 密度四个数字(带定位) 3) 逐句证据(确无可疑句须声明已通读全文 + 附 2 条边界句)
- 总体像不像作者 = {0-100}(注明是否封顶/硬否决) 5) 结论:G5 通过/不通过 + 打回谁。 任一硬否决命中或总分 <80 → [Critical],打回 drafter/line-editor。
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.
- 2mo ago First seen · 29 lines · 35 tokens per session scan A 42545c710c85
style-aligner is an agent published in the GitHub repository bailutingyu/OpenByline (2 stars, last pushed 4mo ago), licensed MIT. It adds 35 tokens to every session and 926 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
style-aligner compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| style-alignerbailutingyu/OpenByline | Agent | 2 | 4mo ago | MIT | A | 35 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |