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 agentmods add skills/guoqiaozhou/study-with-claude-code/helpnpx skills add guoqiaoZhou/study-with-claude-code --skill helpgit clone --depth 1 https://github.com/guoqiaoZhou/study-with-claude-codeWrote 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/guoqiaozhou/study-with-claude-code/help)<a href="https://agentmods.dev/skills/guoqiaozhou/study-with-claude-code/help"><img src="https://agentmods.dev/badge/skills/guoqiaozhou/study-with-claude-code/help.svg" alt="Measured on agentmods" 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 | $0.00082 | $0.01198 |
| Opus 5 | $0.00041 | $0.00599 |
| Sonnet 5 | $0.00016 | $0.00240 |
| Haiku 4.5 | $0.00008 | $0.00120 |
Grade A, and why
swcc-help 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 5d 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
swcc · help — 使用说明
用户想了解怎么用这套学习 + 复习插件。把下面的指南呈现给用户;若 $ARGUMENTS 指向某个具体问题或命令(如"怎么开始"、"go 和 stop 区别"、"mock"),就聚焦回答那一点,不必全量铺开。
一句话
把"看完就忘"的学习,变成一个会复利的闭环:建知识树 → 每天看该学/复习啥 → 先讲后测地学习+复习 → 系统客观评分 → 复盘让系统越来越懂你。任何专题都能用,数据存在 ~/.study-with-cc/。
核心心智模型
/swcc-plan 建/更新某专题的知识树（一次）
↓
/swcc-daily 每天看今天该学/复习什么（跨专题）
↓
/swcc-go → 答题 → /swcc-stop 一次学习+复习闭环（先讲后测 → 归档评分）
↓
/swcc-compound 阶段复盘，提炼"你怎么学"，让以后讲解更贴你
⚠️ go/weak 必须和 stop 在同一轮对话里——stop 要读本次对话来评分归档。
「我想…」→ 用哪个
| 我想… | 用 |
|---|---|
| 系统学一个新专题 | /swcc-plan <主题> [p6/p7/p8/p9] |
| 给已有专题补充/加深 | /swcc-plan <主题> --update |
| 知道今天该复习什么 | /swcc-daily |
| 系统地学+被考一个专题 | /swcc-go → 答题 → /swcc-stop |
| 只攻我的薄弱点 | /swcc-weak → 答题 → /swcc-stop |
| 直接被考、不用先讲 | /swcc-go <主题> test |
| 模拟一场面试 | /swcc-mock |
| 看进度/掌握比例/薄弱点 | /swcc-stats |
| 在多个专题间切换 / 看总览 | /swcc-switch |
| 把某概念横向深挖 | /swcc-deep <主题> <概念> |
| 复盘、让系统更懂我的学法 | /swcc-compound |
| 把今天学的写成 blog | /swcc-blog |
全部命令
核心闭环:plan(建树) · go(先讲后测复习) · stop(归档评分) · stats(进度快照)
日常 & 多专题:daily(今天复习啥) · switch(切换/总览) · weak(薄弱点专项)
进阶 & 沉淀:mock(模拟面试) · compound(复盘+让系统懂你) · deep(概念深挖) · blog(写成文章)
任何命令不带参数都能用:topic 缺省用当前专题,其它走默认。
几个容易卡的点
- 先
plan再用别的:没有知识树,go/stats 等无从下手。 go/weak配stop、且同轮对话:否则这次复习不会被评分归档。- 掌握度不是自评:由独立子智能体按"覆盖度+深度"客观打;薄弱点只从考核阶段记(讲解阶段不算)。
compound不是统计(统计看stats):它和你聊学习感受、提炼"怎么教你",沉淀进learner-profile.md,让后续讲解更贴你。blog写到当前目录./blogs/(方便发布);其它数据都在~/.study-with-cc/,更新插件不丢。
典型节奏
第一次： /swcc-plan <主题> p7
每天： /swcc-daily → /swcc-go → 答题 → /swcc-stop
攻弱项： /swcc-weak → 答题 → /swcc-stop
阶段复盘： /swcc-compound （隔段时间一次）
面试前： /swcc-mock 沉淀：/swcc-blog
升级到最新版:
claude plugin update study-with-claude-code。
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.
- 5d ago First seen · 75 lines · 82 tokens per session scan A 4c8fa602dded
swcc-help is a skill published in the GitHub repository guoqiaoZhou/study-with-claude-code (2 stars, last pushed 2mo ago), licensed MIT. It adds 82 tokens to every session and 1,198 once invoked, about $0.0004 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 2026-08-31.
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