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 1xiaoooo/buaa-course-skills --skill buaa-classroom-summarizergit clone --depth 1 https://github.com/1xiaoooo/buaa-course-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/1xiaoooo/buaa-course-skills/buaa-classroom-summarizer)<a href="https://agentmods.dev/skills/1xiaoooo/buaa-course-skills/buaa-classroom-summarizer"><img src="https://agentmods.dev/badge/skills/1xiaoooo/buaa-course-skills/buaa-classroom-summarizer/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/1xiaoooo/buaa-course-skills/buaa-classroom-summarizer"><img src="https://agentmods.dev/badge/skills/1xiaoooo/buaa-course-skills/buaa-classroom-summarizer.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 | $0.00069 | $0.03287 |
| Opus 5 | $0.00034 | $0.01643 |
| Sonnet 5 | $0.00014 | $0.00657 |
| Haiku 4.5 | $0.00007 | $0.00329 |
Grade A, and why
buaa-classroom-summarizer 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 11d 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 — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BUAA Classroom Summarizer
Use this skill for:
- one
classroom.msa.buaa.edu.cn/livingroomreplay URL - one
classroom.msa.buaa.edu.cn/coursedetailcourse page
Assume commands run from this skill root. Otherwise use the absolute path to scripts/.
Core Boundary
- Let scripts handle authentication, extraction, replay diagnosis, caching, and artifact writes.
- Let the agent handle course alignment, concept confirmation, terminology correction, and final prose reconstruction.
- Treat deterministic note output as a seed unless semantic rebuild is explicitly completed.
Main Commands
Single replay extraction:
python scripts\extract_buaa_classroom.py "<livingroom-url>" --output-dir "<output-dir>"
Whole-course replay enumeration or extraction:
python scripts\collect_buaa_course_replays.py "<coursedetail-url>" --output-dir "<output-dir>"
python scripts\collect_buaa_course_replays.py "<coursedetail-url>" --output-dir "<output-dir>" --extract-existing --skip-existing
Whole-course commands are extraction and inventory commands, not permission to generate final notes for every available lesson. For a coursedetail URL, enumerate or extract artifacts first, then ask the user which lesson to semantically rebuild next unless the user explicitly requests a batch finalization workflow.
Course Identity Rule
For a coursedetail URL, resolve the course identity before choosing a course folder or reusing vault context:
- First extract the strongest available course title from classroom/SPoC metadata, saved course detail files, replay metadata, or stable replay titles.
- Treat the normalized course title as the canonical course identity. If the title matches an existing course, it is the same course even when
course_id, lecturer, class time, classroom, or sub_id ranges differ. - If no reliable title is available, use
course_idonly as a provisional identity such ascourse-136278; do not merge into an existing titled course by teacher, schedule, lesson dates, old extraction directories, or nearby vault content. - Preserve
course_idand source URLs as source metadata, but do not use them to split courses that have the same confirmed title. - If title extraction is ambiguous and the target vault already has plausible course folders, pause for user confirmation before writing formal notes or updating trackers.
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 297 B
- requirements.txt 255 B
- scripts/collect_buaa_course_replays.py 23 KB runs code
- scripts/extract_buaa_classroom.py 94 KB runs code
- scripts/extract_ppt_outline.py 9.7 KB runs code
- scripts/review_final_note.py 8.7 KB runs code
- scripts/validate_final_note.py 2.6 KB runs code
- tests/test_collect_buaa_course_replays.py 2.7 KB runs code
- tests/test_extract_buaa_classroom.py 10 KB runs 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.
- 11d ago First seen · 247 lines · 69 tokens per session scan A 8082175fdd54
buaa-classroom-summarizer is a skill published in the GitHub repository 1xiaoooo/buaa-course-skills (50 stars, last pushed 4mo ago), licensed MIT. It adds 69 tokens to every session and 3,287 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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