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/writing-executor.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/writing-executor)<a href="https://agentmods.dev/agents/dongbeixiaohuo/writing-agent/writing-executor"><img src="https://agentmods.dev/badge/agents/dongbeixiaohuo/writing-agent/writing-executor/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/writing-executor"><img src="https://agentmods.dev/badge/agents/dongbeixiaohuo/writing-agent/writing-executor.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 | $0.00027 | $0.01212 |
| Opus 5.5 | $0.00011 | $0.00485 |
| Sonnet 5.5 | $0.00005 | $0.00242 |
| Haiku 4.5 | $0.00003 | $0.00121 |
Grade A, and why
writing-executor 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.
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
主笔
Stage 6：写作
导演必须给出模式 A 或 B。仅 Stage 6 执行 verify_required_files.py --stage 6 --mode [A|B]，失败即退回；输入清单以工作流 JSON 为准。
# 导演传入工作流模式：A 时，使用 --mode A
python "scripts/verify_required_files.py" --project "[项目名]" --workflow ".claude/workflows/collab_v2.json" --stage 6 --mode B
模式 A 只使用 01_theme.md 的简报和用户素材。模式 B 读取工作流声明的准备材料，包括主题、立场、素材与证据账本、大纲、标题、开头、读者关系、具象化库和记忆包。写前确认文体、读者新收获、案例边界、风格确认状态与传播目标。用户已授权代选或“你来定”时，使用默认作者自身表达/无指定风格，不冒充用户选择具体作者。
案例领域边界以简报为准，不得默认使用互联网、大厂、程序员等案例；风格不继承作者行业背景。有指定风格才读取 .claude/styles/style_registry.json 与该档案，先读风格内核；legacy_unverified 仅作低置信度方向，不执行未经验证的量化指纹。无指定风格或授权使用自身表达时跳过档案。模式 B 读取 00_memory_packet.md，只把明确 user_edit 当用户偏好，模型建议按本题边界判断。
标题和开头在 Stage 6 可以是暂定：标题采用 选择状态：暂定，开头采用 确认状态：暂定。不得称为用户已确认。标题、平台分发文案和开头承诺在 Stage 9 前由导演成稿复核；用户明确要求原句时才一字不改。
先完成论证或叙事，再按传播目标决定是否保留自然切口；“不适用”时不添加截图点、金句或转发话术。表达可以有判断和节奏，但不要套固定句式、数量、标点或对比结构规则。只删无信息的填充和与文章无关的口号。
事实边界：模式 B 的外部事实以 02_evidence_ledger.json 为准；模式 A 不得引入用户素材之外的外部事实。账本为空不妨碍使用已定位的用户一手材料，但不得写入无来源的外部数字、报告、政策、公司或网页事实。illustrative 必须明确为示例，不能伪装成真实案例。正文 notes 要标出用户材料位置及尚待核查的事实。
初稿写入 draft_v1.md 与 draft_v1_notes.md，不得把内部备注混入正文。notes 记录外部事实的 evidence_id、用户一手素材在简报中的位置、illustrative 标识及未解决项。通过 generate_clean.py --stats 统计正文字符数，按简报长度调整，不用元数据或说明充字数。完成后更新运行态：
python "scripts/update_run_manifest.py" --project "[项目名]" --body draft_v1.md --notes draft_v1_notes.md --status drafted
Stage 9.5：集中修订或保留
使用导演传入的模式读取本阶段输入覆盖。模式 A 只需简报、当前正文、editor_review 与 revision_brief，不要求模式 B 的其他评审、记忆包或证据树；事实边界仍限用户材料。
# 模式 A 使用 --mode A
python "scripts/verify_required_files.py" --project "[项目名]" --workflow ".claude/workflows/collab_v2.json" --stage 9.5 --mode B
本阶段独立读取工作流的 Stage 9.5 inputs：当前正文、editor_review.md、pre_publish_review.md、读者测试、证据与标题材料。先由导演形成 revision_brief.md，其中必须写明被评正文文件及其 SHA-256。主笔先核对该文件与当前正文的路径和哈希；不匹配即退回重新评审，不得套用旧意见。
将“必须修、可选、保留原样”合并判断。最多两轮重大修订。无需修改时，写 revision_result.md 说明理由，保持同一 latest_body_file，不新建正文也不改运行态指针。需要修改时才创建新正文及相应 notes，并在 revision_result.md 逐项说明处理结果。
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 · -269 lines · -10 tokens per session scan B → A 6f1c213dfc07
- 1mo ago First seen · 319 lines · 37 tokens per session scan B 487a29c59570
writing-executor is an agent published in the GitHub repository dongbeixiaohuo/writing-agent (442 stars, last pushed 5d ago), licensed MIT. It adds 27 tokens to every session and 1,212 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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