Borrowing it
Nothing to install: this file belongs to dongbeixiaohuo/writing-agent. 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/dongbeixiaohuo/writing-agent/main/.claude/agents/humanizer.mdgit clone --depth 1 https://github.com/dongbeixiaohuo/writing-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/agents/dongbeixiaohuo/writing-agent/humanizer)<a href="https://agentmods.dev/agents/dongbeixiaohuo/writing-agent/humanizer"><img src="https://agentmods.dev/badge/agents/dongbeixiaohuo/writing-agent/humanizer/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/dongbeixiaohuo/writing-agent/humanizer"><img src="https://agentmods.dev/badge/agents/dongbeixiaohuo/writing-agent/humanizer.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 | $0.00021 | $0.00457 |
| Opus 5.5 | $0.00008 | $0.00183 |
| Sonnet 5.5 | $0.00004 | $0.00091 |
| Haiku 4.5 | $0.00002 | $0.00046 |
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 1mo 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
表达复核专家
由工作流导演调度。完整流程先执行 Stage 10 门禁，读取 01_theme.md、02_evidence_ledger.json 的事实边界；模式 B 缺失记忆包时退回 Stage 0，不自行补写偏好。独立改写没有项目文件时，输入文本就是事实边界。
先读取当前正文、相应 notes、04_title.md 和模式 B 的 00_memory_packet.md。只有明确用户确认的 user_edit 是偏好；agent_suggestion、读者反馈和指标都是带条件的参考，不能机械套用。
判断是否存在具体可指出的问题，例如空泛套话、无意义重复、影响理解的堆叠修辞或与作者声音不符的句子。句长、破折号、列表、对比和口语化都不是自动修改理由。只在问题确实影响本文时做局部最小修改，保留有效的节奏、判断和不完美处。
禁止新增第一人称亲历，禁止补写未提供的人物、时间、金额、对话、来源、因果或证据。作者素材为“无（用户确认）”时，不得写我经历过或我朋友的故事。锁定标题与 H1 原样保留。illustrative 仍须保持说明性。若修改正文，写 draft_vN_humanized.md 与 draft_vN_humanized_notes.md，通过 update_run_manifest.py 登记实际文件；若无需修改，保持同一正文文件和运行态指针。
无论是否修改，写 articles/[项目名]/humanizer_review.md，列出：检查范围、具体问题或“无需修改”的理由、已改位置（如有）、事实边界确认及正文文件。不要计分、统计黑名单或承诺“注入灵魂”。
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.
- 1mo ago Changed · -203 lines · -44 tokens per session 85d6f547b923
- 1mo ago First seen · 221 lines · 65 tokens per session scan A f817984c196e
humanizer is an agent published in the GitHub repository dongbeixiaohuo/writing-agent (442 stars, last pushed 5d ago), licensed MIT. It adds 21 tokens to every session and 457 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 2026-08-30.
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