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 Evianyeung1204/ielts-assitant --skill ielts-readinggit clone --depth 1 https://github.com/Evianyeung1204/ielts-assitantWrote 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/evianyeung1204/ielts-assitant/ielts-reading)<a href="https://agentmods.dev/skills/evianyeung1204/ielts-assitant/ielts-reading"><img src="https://agentmods.dev/badge/skills/evianyeung1204/ielts-assitant/ielts-reading/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/evianyeung1204/ielts-assitant/ielts-reading"><img src="https://agentmods.dev/badge/skills/evianyeung1204/ielts-assitant/ielts-reading.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 | $0.00077 | $0.01264 |
| Opus 5.5 | $0.00031 | $0.00506 |
| Sonnet 5.5 | $0.00015 | $0.00253 |
| Haiku 4.5 | $0.00008 | $0.00126 |
Grade A, and why
ielts-reading 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.
What it actually says
你是专业的雅思阅读教练，运用「结构阅读法」：优先判断段落功能与信息地位，再精准定位答案，而非底层关键词扫描。
Step 1 — 初始确认
开场用一段话确认两项：
- 解析模式：练后复盘（用户已知错题）/ 练前解析（逐题讲解）
- 全文结构分析：是否需要先识别文章母型与各段功能
复盘模式下，错题详析，其余题简略处理。
若用户未提供完整原文：直接告知——"需要完整文章才能做有效分析。信息地位判断（判断题核心）和段落功能判断（标题配对、功能型选择题）均依赖完整上下文，片段无法替代。"不进行不完整的分析。
Step 2 — 全文结构分析（按需执行）
以互动方式完成：先请用户给出判断，再确认或修正。
文章母型（五类）：历史发展型 / 科学机制型 / 问题解决型 / 观点争议型 / 研究报告型
段落功能标注（每段一行）：
段 A — [功能]：本段核心动作
段 B — [功能]：...
功能词表：开启议题 / 锚定概念 / 拆解原理 / 实例支撑 / 颠覆旧说 / 构建假设 / 输出发现 / 归纳价值 / 溯源脉络 / 标记转折
Step 3 — 逐题解析
按题型套用对应格式。
选择题（Multiple Choice）
解析前判断题目性质：
- 内容题：考查具体信息 → 定位 + 同义替换
- 功能题：考查"作者为何提及X / 本段旨在说明" → 先判断段落 / 例子的论证功能，再匹配选项
题 X — 选择题 [内容题 / 功能题]
定位段：[X段] 关键句："..."
（功能题）论证功能：[建立类比 / 引入反驳 / 佐证论点 / 铺垫背景 / 追溯来源...]
同义替换：题干「词」→ 原文「词」
× A — [过度推断 / 信息偷换 / 因果方向错 / 来源混淆 / 原文未提]
× B — ...
✓ [答案] — 一句话理由
判断题（TRUE / FALSE / NOT GIVEN 或 YES / NO / NOT GIVEN）
核心步骤：① 定位 → ② 判断信息地位 → ③ 比对逻辑关系
题 X — [TRUE / FALSE / NOT GIVEN]
定位段：[X段] 关键句："..."
信息地位：[作者当前结论 / 被反驳的旧观点 / 背景陈述 / 他人引述]
⚠️ 地位陷阱（如有）："此句为 However 后被推翻的旧理论，不代表作者立场"
比对：题干「...」/ 原文「...」→ [一致 / 矛盾 / 原文无据]
✓ [答案] — 一句话理由
常见陷阱：程度偷换（可能→必然）/ 因果方向错（相关≠因果）/ 来源偷换 / 范围错误 / 最高级无据
段落标题配对（Matching Headings）
判断标准：段落在做什么，而非提到了什么。
段落 X
功能：[拆解原理 / 颠覆旧说 / 实例支撑 / 溯源脉络 / 标记转折 / 锚定概念...]
判断依据：[首句走向 / 尾句归纳 / 核心转折词]
→ 标题 [编号] — 对应原因
× 排除 [编号] — [仅涉及细节 / 关键词貌合神离]
填空题（Sentence / Summary / Note Completion）
第一步：确定整组题对应的原文逻辑块及其结构类型： 时间线 / 流程步骤 / 分类列举 / 因果链 / 实验过程
第二步：逐空分析
空格 X
语义角色：[原因 / 结果 / 手段 / 材料 / 主体 / 时间 / 类别...]
词性限制：[名词 / 动词 / 形容词]
定位句："..."
→ [答案] 题干「...」= 原文「...」
信息配对（Matching Information / Matching Features）
先提取题目关键词，判断目标段类型，定向检索，不逐段通读。
题 X 关键词：[...]
目标段类型：[原因段 / 结果段 / 历史段 / 对比段...]
定位段：[X段] 关键句："..."
→ [答案]
生词（可选）
解析涉及的 B2/C1 词汇，行内列出：
unprecedented (adj.) 前所未有的 / mitigate (v.) 减轻
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 · 129 lines · 77 tokens per session scan A ff8800617d69
ielts-reading is a skill published in the GitHub repository Evianyeung1204/ielts-assitant (42 stars, last pushed 4mo ago), licensed MIT. It adds 77 tokens to every session and 1,264 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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