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 TashanGKD/tashan-writing-system --skill article-review-trackergit clone --depth 1 https://github.com/TashanGKD/tashan-writing-systemWrote 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/tashangkd/tashan-writing-system/article-review-tracker)<a href="https://agentmods.dev/skills/tashangkd/tashan-writing-system/article-review-tracker"><img src="https://agentmods.dev/badge/skills/tashangkd/tashan-writing-system/article-review-tracker/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/tashangkd/tashan-writing-system/article-review-tracker"><img src="https://agentmods.dev/badge/skills/tashangkd/tashan-writing-system/article-review-tracker.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 | $0.00049 | $0.01267 |
| Opus 5 | $0.00024 | $0.00633 |
| Sonnet 5 | $0.00010 | $0.00253 |
| Haiku 4.5 | $0.00005 | $0.00127 |
Grade A, and why
article-review-tracker 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 11d 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.
This is a copy
100% identical to article-review-tracker — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
文章审稿意见追踪（article-review-tracker）
定位：wechat-article-writer 的配套 Skill，专门处理文章写完后的编辑反馈。 与 issue-tracker 的区别：issue-tracker 追踪产品/技术问题；本 Skill 追踪文章编辑反馈。
关系类型：extends wechat-article-writer
激活后立即执行
Step 1 确认当前文章：读取对话上下文中最近的文章文件路径 → 若上下文无法确认，询问用户：「请告诉我文章文件路径或名称」
Step 2 解析用户的审稿意见（支持以下格式）： - 一句话口语化反馈（「这段AI腔太重」） - 多条列表（「1. 标题太平庸 2. 第三段冗长」） - 引用原文后评论
Step 3 结构化写入意见文件（追加式，不覆盖已有内容）： 路径：[文章同目录]/审稿意见_[文章名].md
若文件不存在 → 创建并写入表头：
`| ID | 位置/章节 | 意见描述 | 严重程度 | 状态 | 修改方案 |`
`|---|---|---|---|---|---|`
每条意见追加一行：
`| R001 | [位置] | [意见描述] | P0/P1/P2 | 🔲 待处理 | （待定） |`
ID 格式：R + 三位数序号（R001、R002…），按文件内已有最大序号递增
Step 4 逐条呈现意见摘要，为每条提出修改方案，询问用户确认： 「以下意见已记录，请确认修改方案： - R001 [P0] [位置]：[意见] → 建议：[修改方案] - R002 [P1] [位置]：[意见] → 建议：[修改方案] 是否按此方案修改？」
Step 5 用户确认后，执行文章正文修改： - 修改对应段落/标题/表达 - 更新意见文件中该条状态为 ✅ 已解决，填写实际修改方案
Step 6 所有意见处理完后，输出「审稿完成摘要」：
✅ 审稿完成 共处理 N 条意见：P0×N / P1×N / P2×N 已解决：N 条 / 已存档：N 条 / 遗留：N 条 意见文件：[文件路径]
意见状态值
| 状态 | 含义 |
|---|---|
| 🔲 待处理 | 已记录，尚未修改 |
| 🔄 修改中 | 正在讨论修改方案 |
| ✅ 已解决 | 已修改文章正文 |
| ⛔ 已存档 | 不修改，附存档理由 |
严重程度定义
| 级别 | 定义 | 处理策略 |
|---|---|---|
| P0 | 影响文章核心质量：逻辑错误 / AI腔严重 / 标题有问题 / 事实错误 | 必须修改，不可存档 |
| P1 | 改了明显更好：表达生硬 / 段落冗长 / 例子不当 / 结构不清 | 建议修改，存档需说明理由 |
| P2 | 细节打磨：标点 / 措辞 / 格式 / 轻微冗余 | 可选，用户决定 |
与关联 Skill 的协作关系
| Skill | 关系 |
|---|---|
| wechat-article-writer | 上游：文章写完后触发本 Skill |
| article-proofreading | 平行：article-proofreading 是 AI 主动审稿；本 Skill 是用户反馈追踪 |
| issue-tracker | 区分：issue-tracker 追踪产品/技术 bug；本 Skill 追踪文章编辑反馈 |
意见文件格式示例
# 审稿意见 — [文章名]
创建时间：YYYY-MM-DD
最后更新：YYYY-MM-DD
| ID | 位置/章节 | 意见描述 | 严重程度 | 状态 | 修改方案 |
|---|---|---|---|---|---|
| R001 | 标题 | 标题太平庸，缺乏吸引力 | P0 | ✅ 已解决 | 改为「XXX：YYY」强调核心洞见 |
| R002 | 第三段 | AI腔太重，「值得关注」「不可忽视」等套话密集 | P0 | ✅ 已解决 | 删除套话，改为具体描述 |
| R003 | 结语 | 结语虎头蛇尾 | P1 | 🔲 待处理 | （待定） |
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.
- 11d ago First seen · 114 lines · 49 tokens per session scan A 889869acfa1a
article-review-tracker is a skill published in the GitHub repository TashanGKD/tashan-writing-system (2 stars, last pushed 5mo ago), licensed MIT. It adds 49 tokens to every session and 1,267 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to article-review-tracker, differing in 0 lines, and is treated as a copy.
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