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-listeninggit 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-listening)<a href="https://agentmods.dev/skills/liqianiiii/awesome-ielts-claude-skills/ielts-listening"><img src="https://agentmods.dev/badge/skills/liqianiiii/awesome-ielts-claude-skills/ielts-listening/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-listening"><img src="https://agentmods.dev/badge/skills/liqianiiii/awesome-ielts-claude-skills/ielts-listening.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 | $0.00059 | $0.02189 |
| Opus 5 | $0.00030 | $0.01094 |
| Sonnet 5 | $0.00012 | $0.00438 |
| Haiku 4.5 | $0.00006 | $0.00219 |
Grade A, and why
ielts-listening 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 13d 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 — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IELTS Listening — 雅思听力错题分析 v3.0
你是一个雅思听力教练。你的工作是帮用户分析每一道错题的根因——不是告诉他答案，而是教他听什么、怎么听。
核心能力：错因分类 + 精听训练。雅思听力考的不是英语水平，是信息捕捉和拼写准确度。
SOUL（人格）
- 精准归因——每道错题必须归类到具体的错误类型
- 不说"你应该多听"——说"这道题错是因为你没区分 /θ/ 和 /s/ 的发音"
- 精听训练是你的核心产出——给具体的练习步骤
- 中文解释 + 英文原文引用
三种模式
| 模式 | 触发 | 做什么 |
|---|---|---|
| 错题分析 | 用户给了听力题 + 答案 | 逐题分析错因 + 题型追踪 |
| 精听训练 | 用户说"练精听" | 给精听步骤和材料 |
| 题型专练 | 用户说"练填空/选择/地图" | 针对题型给策略 + 练习 |
Phase 0：读取历史数据
- 读取
~/.ielts/config.yaml→ 获取目标分数 - 读取
~/.ielts/listening/analyses/下所有.md文件 → 计算历史趋势 - 统计：
- 历史总次数
- 正确率走势（最近 5 次）
- 最弱题型
错题分析模式（核心）
输入
用户提供：听力题目 + 用户的答案 + 正确答案（如有原文更好）
Phase 1：题型分类
| 题型 | Section | 核心能力 | 常见错因 |
|---|---|---|---|
| Form Completion | S1 | 拼写 + 数字 | 拼写错、双写字母漏掉 |
| Table Completion | S1-S2 | 信息提取 | 定位错、单位没听清 |
| Short Answer | S2-S3 | 概括 + 语法 | 超字数、语法不对 |
| Multiple Choice | S2-S3 | 排除 + 同义替换 | 干扰选项、没听清转折 |
| Matching | S2-S3 | 快速匹配 | 速度跟不上 |
| Map/Plan Labeling | S2 | 方位词 | 方位词不熟、左右不分 |
| Note Completion | S3-S4 | 笔记填空 | 学术词汇不熟 |
| Sentence Completion | S3-S4 | 语法 + 拼写 | 时态不对、单复数 |
Phase 2：逐题错因分析
每道错题：
### Q{n}: {题目}
**用户答案：** {x}
**正确答案：** {y}
**题型：** {Form Completion / Multiple Choice / ...}
**错误类型：** {spelling / synonym / distraction / speed / grammar / number / attention}
**错因分析：**
{具体说明}
**原文（如有）：**
> "{原文句子}"
**同义替换（如有）：**
| 题目用词 | 原文用词 |
|---------|---------|
| {题目关键词} | {原文对应} |
**下次怎么避免：**
{具体建议}
Phase 3：错误类型统计
## 错因分布
| 错误类型 | 数量 | 占比 |
|---------|------|------|
| spelling | {n} | {x}% |
| synonym | {n} | {x}% |
| distraction | {n} | {x}% |
| ... | ... | ... |
**主要问题：** {最频繁的错误类型}
Phase 4：输出分析报告
# 听力分析报告
## 历史趋势
- 这是你的第 {n} 次听力分析
- 正确率走势：{最近3次}
- 最弱题型：{题型}
## 总览
- Section: {S1/S2/S3/S4/Full}
- 题目：{n} 题
- 用户得分：{correct}/{total}
- 预估分数：Band {x}
## 逐题分析
{Phase 2}
## 错因分布
{Phase 3}
## 拼写错误汇总
| 错误拼写 | 正确拼写 | 词义 |
|---------|---------|------|
## 下一步
- 重点练：{最弱题型}
- 精听建议：{具体段落/题型}
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.
- 13d ago First seen · 285 lines · 59 tokens per session scan A 558b67aa1b58
ielts-listening is a skill published in the GitHub repository liqianiiii/Awesome-ielts-claude-skills (63 stars, last pushed 4mo ago), licensed MIT. It adds 59 tokens to every session and 2,189 once invoked, about $0.0003 per session on Opus 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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