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 wpsnote/wpsnote-skills --skill lecture-focus-extractorgit clone --depth 1 https://github.com/wpsnote/wpsnote-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/wpsnote/wpsnote-skills/lecture-focus-extractor)<a href="https://agentmods.dev/skills/wpsnote/wpsnote-skills/lecture-focus-extractor"><img src="https://agentmods.dev/badge/skills/wpsnote/wpsnote-skills/lecture-focus-extractor/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/wpsnote/wpsnote-skills/lecture-focus-extractor"><img src="https://agentmods.dev/badge/skills/wpsnote/wpsnote-skills/lecture-focus-extractor.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 | $0.00068 | $0.00461 |
| Opus 5.5 | $0.00027 | $0.00184 |
| Sonnet 5.5 | $0.00014 | $0.00092 |
| Haiku 4.5 | $0.00007 | $0.00046 |
Grade A, and why
lecture-focus-extractor 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
WPS Lecture Focus Extractor 2.0
Follow the shared workflow in ../wps-learning-workflow.md.
Inputs
- 一篇较长的课堂笔记、逐字稿或学习记录
- 可选的主题、课程名或考试范围
- 可选的复习目标，例如考前速看、补课、查重点
Output
A structured WPS-ready 重点提炼页，把必须复习的内容和背景性内容清楚分开。
What this skill should produce
目标不是做一篇普通摘要，而是提炼“最值得复习的部分”。
建议包含这些部分：
must rememberdefinitions / formulas / principlesteacher emphasislikely forget pointsone-minute recap10-minute review list
WPS-first rules
- 重点优先用短条目表达，不要写成长段总结。
- 最后一部分最好能直接拿去做考前速看。
- 如果原笔记已经有清晰结构，不要为了压缩而把层次全部打平。
Quality rules
- 更优先保留重复出现、被强调、容易混淆、容易忘记的内容。
- 能体现规则的例子，比纯定义更值得留下。
- 如果某一部分只是背景补充，要明确告诉用户“了解即可”。
Do not use when
- 用户需要的是一篇完整的结构化主笔记
- 原始内容本身已经很短、很聚焦
- 用户真正想直接生成闪卡，而不是先提炼重点
Recommended next skill
Usually recommend:
notes-to-flashcardsclass-note-builder
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 · 58 lines · 68 tokens per session scan A 6d405254ec05
lecture-focus-extractor is a skill published in the GitHub repository wpsnote/wpsnote-skills (183 stars, last pushed yesterday), licensed MIT. It adds 68 tokens to every session and 461 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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