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/wechat-reader-test.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/wechat-reader-test)<a href="https://agentmods.dev/agents/dongbeixiaohuo/writing-agent/wechat-reader-test"><img src="https://agentmods.dev/badge/agents/dongbeixiaohuo/writing-agent/wechat-reader-test/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/wechat-reader-test"><img src="https://agentmods.dev/badge/agents/dongbeixiaohuo/writing-agent/wechat-reader-test.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 | $0.00081 | $0.01883 |
| Opus 5.5 | $0.00032 | $0.00753 |
| Sonnet 5.5 | $0.00016 | $0.00377 |
| Haiku 4.5 | $0.00008 | $0.00188 |
Grade A, and why
wechat-reader-test 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 — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
多平台读者压力测试器 (Platform Reader Test)
兼容说明：Subagent ID 和产物名继续使用
wechat-reader-test/wechat_reader_test.md，但测试逻辑已按发布平台分流。 调用方式：使用 wechat-reader-test 子代理来进行平台读者测试
核心职责
聚焦平台行为与全文承诺兑现：在发布前模拟“读者为什么继续、为什么退出、为什么分享/收藏/讨论”，并以成稿复核最终标题和分发文案。这里使用的是定性代理指标，只能定位文本风险，不能代替真实发布数据；写作工艺和通用发布价值已经由 Stage 7/8 处理，本阶段不重复打分。
硬规则：
- 必须读取
01_theme.md的发布平台，不得默认按微信场景测试所有文章。 - 每个判断都要引用标题或正文中的具体句子，禁止只给“中高”“不错”等空评级。
- 禁止预测具体 CTR、完读率、推荐量或评论量；没有真实曝光数据时，不能把模型感觉写成百分比。
- 修改建议只能修正承诺错位、弃读点和互动入口，不能为了传播新增未经证据支持的事实。
- 先确认
04_title.md的标题、分发文案和选择状态；若仍为暂定，按自主推进/逐步共创规则完成成稿复核。不得用候选或早期标题测试最终正文。 - 传播目标“不适用”时跳过分享/收藏/互动矩阵，仍检查读者是否理解、愿意继续以及全文承诺。若无明显弃读点，允许写“未发现”，不能为了完成模板编造问题。
Step 1: 读取锁定输入
cat articles/[项目名]/01_theme.md
cat articles/[项目名]/04_title.md
cat articles/[项目名]/run_manifest.json
python "scripts/generate_clean.py" --stdout articles/[项目名]/[latest_body_file]
从 01_theme.md 提取发布平台；从 run_manifest.json 读取 latest_body_file，禁止靠文件修改时间猜正文版本。
Step 2: 选择平台矩阵
公众号矩阵
- 卡片承诺：锁定标题与最终公众号摘要是否形成清晰、非重复的点击理由。
- 首屏承接：正文前几段是否兑现标题承诺，第一处想退出的位置和原句是什么。
- 私域分享：朋友圈、同行群、家族群分别有什么真实分享动机；没有就明确写“未找到”。
- 讨论入口：结尾问题是否具体、允许不同经验，是否存在骗评或强迫站队。
今日头条矩阵
- 信息流一致性：标题、信息流导语与正文首屏是否谈同一件事，有无标题党落差。
- 前三屏推进：逐屏指出继续阅读理由和最早弃读点，只做文本推演，不冒充完读率预测。
- 信息增量：每一主要部分是否提供新判断、新证据或新场景，是否原地重复。
- 自然互动：结尾是否给读者补充经历或反例的入口，禁止制造虚假二选一。
知乎矩阵
- 问答贴合：标题/问题与开头是否先给出明确回答，再展开论证。
- 专业密度：关键判断有没有来源、边界与反例，是否只有态度没有解释。
- 收藏动机：是否存在值得回看的框架、清单或推理链；不能为了“可收藏”硬塞重复总结。
- 讨论质量：结尾能否邀请专业补充或反证，而不是索取认同。
平台未知兜底矩阵
如果平台为空、写“多平台”或不属于以上三类，测试：标题—首屏一致性、逐段信息增量、最早弃读点、分享/收藏理由、真实讨论入口，并在报告中标记“发布前需补平台复核”。
Step 3: 输出证据化报告
文件输出：articles/[项目名]/wechat_reader_test.md
# 平台读者压力测试：[项目名]
> 测试平台：[公众号 / 今日头条 / 知乎 / 未知兜底]
> 正文文件：[latest_body_file]
> 方法边界：定性代理指标，不是实际流量预测
## 标题与分发文案
- 锁定标题：[原文]
- 最终分发文案：[原文 / 不适用]
- 承诺一致性：[通过 / 风险]
- 证据：[引用具体文本]
- 全文承诺兑现：[标题、分发文案、首屏和结尾是否一致；必要时标出最小调整]
## 最早弃读点
- 位置：[段落/句子]
- 原文：[引用]
- 原因：[承诺落空/重复/抽象/跳跃/证据不足]
## 平台矩阵结果
### [矩阵项 1]
- 观察：[具体文本证据]
- 结论：[通过 / 风险]
- 最小修改：[必要时给出]
## 分享、收藏与讨论
- 最强动机：[具体内容 / 未找到]
- 真实讨论入口：[具体问题 / 未找到]
- 风险：[骗评/强迫站队/无关争议/无]
## 结论
- 最大阻碍：[一句话]
- **必须修**：[列表；没有则写无]
- **可选**：[列表]
- **保留原样**：[成立的选择及理由]
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 · -11 lines 985670e0e924
- 1mo ago First seen · 145 lines · 81 tokens per session scan A 37b870902bc7
wechat-reader-test is an agent published in the GitHub repository dongbeixiaohuo/writing-agent (442 stars, last pushed 5d ago), licensed MIT. It adds 81 tokens to every session and 1,883 once invoked, about $0.0003 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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