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-diagnosisgit 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-diagnosis)<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.
<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>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 | $0.00063 | $0.02206 |
| Opus 5 | $0.00032 | $0.01103 |
| Sonnet 5 | $0.00013 | $0.00441 |
| Haiku 4.5 | $0.00006 | $0.00221 |
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.
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:
config.yaml→ 目标分数、考试日期、当前水平writing/essays/*.md→ 所有作文存档reading/analyses/*.md→ 所有阅读分析listening/analyses/*.md→ 所有听力分析speaking/stories/*.md→ 所有口语素材vocabulary/word-bank.md→ 词库状态vocabulary/synonym-master.md→ 同义替换累计量errors/error-book.md→ 高频错误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):
- 差距最大的科目优先
- 趋势下降的科目需要干预
- 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}
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 · 267 lines · 63 tokens per session scan A 76c95181cd09
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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