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/switchnpx skills add guoqiaoZhou/study-with-claude-code --skill switchgit 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/switch)<a href="https://agentmods.dev/skills/guoqiaozhou/study-with-claude-code/switch"><img src="https://agentmods.dev/badge/skills/guoqiaozhou/study-with-claude-code/switch.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 | $0.00059 | $0.00753 |
| Opus 5 | $0.00030 | $0.00377 |
| Sonnet 5 | $0.00012 | $0.00151 |
| Haiku 4.5 | $0.00006 | $0.00075 |
Grade A, and why
swcc-switch 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 4d 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 · switch — 多专题切换 + 总览
切换当前默认专题,或在无参数时列出所有专题的总览供选择。
开始前先读数据契约:
${CLAUDE_PLUGIN_ROOT}/skills/_shared/data-contract.md(第九节 config、第十三节到期判定)。
参数:$ARGUMENTS —— 可选 topic(目标专题的名称或 slug)。
核心原则
- 唯一写入 =
config.json的activeTopic。 不碰任何专题的 tree / progress / system——总览部分全是只读。 - 不存在就别乱写。 目标专题不存在时,列出可选项让用户重选,绝不新建或瞎指。
- 总览要给决策信息。 列专题时带掌握比例 + 今日到期数,让用户一眼看出该去哪。
流程
1. 读取专题表
- 读
config.json的topics[]与当前activeTopic。config 不存在/缺失 → 按数据契约第九节兜底扫topics/;一个都没有 → 提示先/swcc-plan <topic>,停止。
2. 分支:带参 or 无参
| 情况 | 行为 |
|---|---|
| 带 topic 参数 | 把参数规整为 slug,在 topics[] + 磁盘 topics/<slug>/ 里匹配。匹配到 → 设 activeTopic = 该 slug,写回 config.json,确认。匹配不到 → 列出现有专题让用户重选,不写。 |
| 无参数 | 渲染总览(下方),让用户选一个 → 设 activeTopic 写回。 |
3. 总览渲染（只读）
对每个专题,读其 progress.json 算:已掌握/总数比例、今日到期数(数据契约第十三节)、上次复习日(stats.lastReviewDate)。
📚 我的复习专题
━━━━━━━━━━━━━━━━━━━━
▶ <topic-A> 🟢 <a>/<total> 掌握 🔔 今日到期 <n> 上次 <date> ← 当前
<topic-B> 🟢 <a>/<total> 掌握 🔔 今日到期 <n> 上次 <date>
切换:/swcc-switch <topic>
4. 切换后确认
✅ 已切换到 <topic>（activeTopic）
下一步:/swcc-go 开始复习，或 /swcc-daily 看今天到期。
质量基准
- 只改了
config.json的activeTopic一个字段,其余文件未动。 - 目标不存在时未误写、给了可选项。
- 总览的比例/到期数与各 progress.json 一致。
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.
- 4d ago First seen · 60 lines · 59 tokens per session scan A 5e95f33bd997
swcc-switch is a skill published in the GitHub repository guoqiaoZhou/study-with-claude-code (2 stars, last pushed 2mo ago), licensed MIT. It adds 59 tokens to every session and 753 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 2026-08-31.
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