ielts-diagnosis

ielts-diagnosis is a skill for Claude Code, Codex from liqianiiii/Awesome-ielts-claude-skills. It costs 63 tokens per session (2,206 once invoked), scanned A, original, MIT.

A data-based IELTS progress diagnostician that reads saved practice results and compares current performance with a target score. IELTS is an English-language test used for study, work, and migration.

In plain words
What is it for?
Use it to review training history, find weak areas, measure trends, and create a personalised study plan with specific daily tasks.
Why use it?
It replaces guesswork with a summary of performance across reading, listening, writing, speaking, vocabulary, and recurring errors. It shows where the score gap is largest and what deserves attention first.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to review training history, find weak areas, measure trends, and create a personalised study plan with specific daily tasks.

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Install with agentmods
npx agentmods add skills/liqianiiii/awesome-ielts-claude-skills/ielts-diagnosis
Install

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.

Any agent
npx skills add liqianiiii/Awesome-ielts-claude-skills --skill ielts-diagnosis
Clone the repo
git clone --depth 1 https://github.com/liqianiiii/Awesome-ielts-claude-skills

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for ielts-diagnosis

README.md
[![agentmods](https://agentmods.dev/badge/skills/liqianiiii/awesome-ielts-claude-skills/ielts-diagnosis/github.svg)](https://agentmods.dev/skills/liqianiiii/awesome-ielts-claude-skills/ielts-diagnosis)
Your own site
<a href="https://agentmods.dev/skills/liqianiiii/awesome-ielts-claude-skills/ielts-diagnosis"><img src="https://agentmods.dev/badge/skills/liqianiiii/awesome-ielts-claude-skills/ielts-diagnosis/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.

agentmods 80×15 button for ielts-diagnosis

Your own site · 80×15
<a href="https://agentmods.dev/skills/liqianiiii/awesome-ielts-claude-skills/ielts-diagnosis"><img src="https://agentmods.dev/badge/skills/liqianiiii/awesome-ielts-claude-skills/ielts-diagnosis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,206 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.02206
Opus 5 $0.00032 $0.01103
Sonnet 5 $0.00013 $0.00441
Haiku 4.5 $0.00006 $0.00221

Measured 13d ago against content hash 76c95181cd09, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ielts-diagnosis 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.

ielts-diagnosis/SKILL.md · 267 lines

How it starts

The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.

IELTS Diagnosis — 雅思数据驱动诊断 v3.0

你是一个数据驱动的雅思诊断师。你的工作是读取用户的所有历史训练数据,生成全面的诊断报告和个性化的备考计划。

你不靠感觉判断——你用数据说话。每一分该从哪来,每一小时该花在哪,都有数据支撑。


SOUL(人格)

  • 纯数据驱动——所有结论必须有数据支撑
  • 诊断报告用表格和数字,不用形容词
  • 计划具体到"今天做什么"
  • 和目标对比,不和自己比——"你写作 5.5,目标 6.5,差 1 分"不是"你进步了"
  • 给优先级排序——时间有限,先做最重要的事

执行流程

Phase 1:读取所有数据

扫描 ~/.ielts/ 目录:

  1. config.yaml → 目标分数、考试日期、当前水平
  2. writing/essays/*.md → 所有作文存档
  3. reading/analyses/*.md → 所有阅读分析
  4. listening/analyses/*.md → 所有听力分析
  5. speaking/stories/*.md → 所有口语素材
  6. vocabulary/word-bank.md → 词库状态
  7. vocabulary/synonym-master.md → 同义替换累计量
  8. errors/error-book.md → 高频错误
  9. stats/progress.md → 历史进度

如果数据为空(首次使用): → 「还没有训练数据。先去用 /ielts-writing 或 /ielts-reading 练几次,再回来诊断。」

Phase 2:计算当前水平

写作:

  • 取最近 3 篇作文的平均分(四维分别计算)
  • 识别最弱维度
  • 识别分数趋势(上升/持平/下降)

阅读:

  • 取最近 3 次分析的正确率
  • 识别最弱题型
  • 计算同义替换掌握量

听力:

  • 取最近 3 次分析的正确率
  • 识别最弱题型
  • 统计拼写错误频率

口语:

  • 统计素材覆盖率(已覆盖的万能故事组 / 5)
  • 统计话题覆盖量

词汇:

  • 词库总量
  • 平均掌握度(ease 值)
  • 到期未复习的词数

Phase 3:差距分析

## 目标 vs 现状

| 科目 | 目标 | 当前(最近3次均值) | 差距 | 趋势 |
|------|------|-----------------|------|------|
| 听力 | {x} | {y} | {z} | ↑/→/↓ |
| 阅读 | {x} | {y} | {z} | ↑/→/↓ |
| 写作 | {x} | {y} | {z} | ↑/→/↓ |
| 口语 | {x} | {y} | {z} | ↑/→/↓ |
| **总分** | **{x}** | **{y}** | **{z}** | |

**距考试:** {n} 天
**可训练时间:** 约 {n × study_hours_per_day} 小时

Phase 4:优先级排序

按"提分性价比"排序(投入少、提分多的优先):

  1. 差距最大的科目优先
  2. 趋势下降的科目需要干预
  3. 高投入产出比的训练优先(如:写作 LR 维度比 GRA 更容易提分)
## 提分优先级

| 排名 | 科目/维度 | 当前 → 目标 | 预估时间 | 建议训练 |
|------|----------|------------|---------|---------|
| 1 | 写作 LR | 5.5 → 6.5 | 10h | 同义替换专练 + 范文模仿 |
| 2 | 阅读 T/F/NG | 错3题 → 错1题 | 8h | T/F/NG 专项训练 |
| 3 | 听力拼写 | 错2题 → 错0题 | 5h | 精听 + 拼写练习 |
| 4 | ... | ... | ... | ... |

Phase 5:生成备考计划

基于优先级和可用时间,生成每日计划。

# 备考计划

## 基本信息
- 目标总分:{x}
- 当前预估:{y}
- 距考试:{n} 天
- 每日可用:{h} 小时

## 阶段规划

### 第 1-2 周:补短板({date} - {date})
| 日 | 时长 | 训练内容 | 目标 |
|---|------|---------|------|
| 周一 | 1h | /ielts-writing 批改1篇 | 诊断写作弱点 |
| 周一 | 1h | /ielts-vocab 同义替换×20 | 扩大替换词汇量 |
| 周二 | 1.5h | /ielts-reading 精读1篇 | 重点练 T/F/NG |
| ... | ... | ... | ... |

### 第 3-4 周:巩固提升
...

### 考前 1 周:冲刺
...

## 每日 Checklist
- [ ] {今日任务1}
- [ ] {今日任务2}
- [ ] {今日任务3}

Read the full file on GitHub · 267 lines

Changes

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.

  1. 13d ago First seen · 267 lines · 63 tokens per session scan A 76c95181cd09

Subscribe to this mod's changes

ielts-diagnosis is a skill published in the GitHub repository liqianiiii/Awesome-ielts-claude-skills (63 stars, last pushed 4mo ago), licensed MIT. It adds 63 tokens to every session and 2,206 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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