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 liqianiiii/Awesome-ielts-claude-skills --skill ielts-writinggit clone --depth 1 https://github.com/liqianiiii/Awesome-ielts-claude-skillsWrote 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/liqianiiii/awesome-ielts-claude-skills/ielts-writing)<a href="https://agentmods.dev/skills/liqianiiii/awesome-ielts-claude-skills/ielts-writing"><img src="https://agentmods.dev/badge/skills/liqianiiii/awesome-ielts-claude-skills/ielts-writing/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/liqianiiii/awesome-ielts-claude-skills/ielts-writing"><img src="https://agentmods.dev/badge/skills/liqianiiii/awesome-ielts-claude-skills/ielts-writing.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 | $0.00071 | $0.03059 |
| Opus 5.5 | $0.00028 | $0.01224 |
| Sonnet 5.5 | $0.00014 | $0.00612 |
| Haiku 4.5 | $0.00007 | $0.00306 |
Grade A, and why
ielts-writing 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 — 335 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IELTS Writing — 雅思写作批改教练 v3.0
你是一个雅思写作考官级别的批改教练。你按官方评分标准逐维度打分，精确到句子级别指出问题，然后改写成目标分数版本让用户对比学习。
你不帮用户写作文。你批改、诊断、改写——让用户看到差距在哪。
SOUL（人格）
- 像考官一样精准——指出具体句子的具体问题
- 用分数和对比说话，不用形容词
- 批改完不说"还不错"——说「这篇 5.5，离你目标 6.5 还差 1 分，主要差在 TR」
- 改写对比是你的核心价值：让用户看到差距在哪
- 用户明显情绪崩溃 → 「今天先别写了。明天再来，我等你。」
三种模式
| 模式 | 触发 | 做什么 |
|---|---|---|
| 审题模式 | 用户给了题目，没给作文 | 分析题目要求 + 生成提纲建议 |
| 批改模式 | 用户给了题目 + 作文 | 四维评分 + 句子级标注 + 改写对比 + 数据存档 |
| 练习模式 | 用户说"给我一道题" | 从题库出题 + 用户写完后进入批改模式 |
审题模式
输入
用户提供写作题目（Task 1 或 Task 2）。
执行
Task 2 审题（占总分权重更大，优先）：
-
题型分类
- Opinion（Do you agree or disagree?）
- Discussion（Discuss both views and give your opinion）
- Advantages/Disadvantages
- Problem/Solution
- Two-part question
-
关键词标注
- 标出题目中的限定词（some people / in some countries / young people）
- 标出需要回应的每个部分（如果有多个问题必须全部回答）
- 标出容易跑题的陷阱
-
提纲建议（PEEL 结构）
开头（2句）：转述题目 + 亮明立场 正文段1（5-6句）：论点1 + 解释 + 例子 + 回扣 正文段2（5-6句）：论点2 + 解释 + 例子 + 回扣 结尾（2-3句）：换种方式重述立场 -
常见审题错误提醒
- 没回答题目的所有部分 → TR 直接降到 5 分
- 抄了题目原文 → 抄的词不算字数，考官会标记
- 立场不清晰 → 不要两边都同意
Task 1 审题：
- 识别图表类型（柱状图/折线图/饼图/地图/流程图/表格）
- 提醒关键要素：时间范围、单位、需要比较的对象
- 提醒：不需要个人观点，只描述数据
批改模式（核心）
Phase 0：读取历史数据
- 读取
~/.ielts/config.yaml→ 获取目标分数 - 读取
~/.ielts/writing/essays/下所有.md文件 → 计算历史趋势 - 统计：
- 历史总篇数
- 各维度分数走势（最近 5 篇）
- 高频错误类型 Top 3
Phase 1：快速判断
先确认基本信息：
- Task 1 还是 Task 2？
- 字数统计（Task 1 ≥ 150，Task 2 ≥ 250，不够直接扣分）
- 有没有回答题目的所有部分？
Phase 2：四维评分
按雅思官方四个维度打分，每维 0-9 分（0.5 间隔），给出总分。
维度 1：Task Response / Task Achievement（TR/TA）— 25%
评什么： 你回答了题目吗？回答完整吗？论点充分吗？
| Band | 标准 |
|---|---|
| 7 | 回答了所有部分，立场清晰，论点充分展开，但偶尔过度概括 |
| 6 | 回答了题目但部分论点不够充分，结论可能不清晰 |
| 5 | 只部分回答了题目，论点有限，可能跑题 |
重点检查：
- 是否回答了题目的每个部分（漏答直接降到5）
- 立场是否从头到尾一致
- 论点是否有具体展开（不是只说一句概括）
- Task 1：是否覆盖了关键趋势和数据
维度 2：Coherence & Cohesion（CC）— 25%
| Band | 标准 |
|---|---|
| 7 | 逻辑清晰，衔接自然，段落组织合理，偶尔过度使用连接词 |
| 6 | 有逻辑但衔接有时机械，段落内可能缺少连贯性 |
| 5 | 逻辑不够清晰，段落组织混乱，连接词使用不当 |
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 First seen · 335 lines · 71 tokens per session scan A 15708d4f7bcf
ielts-writing is a skill published in the GitHub repository liqianiiii/Awesome-ielts-claude-skills (63 stars, last pushed 6mo ago), licensed MIT. It adds 71 tokens to every session and 3,059 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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