Look Tongji Notes

Trust Score 83/100

CLI-first skill to log into Tongji Look, transcribe lecture videos to SRT/TXT, download slide snapshots, and generate Markdown study notes and a timeline outlin

triggers:look-tongji:setuplook-tongji:listlook-tongji:transcribelook-tongji:slidelook-tongji:note

GitHub SKILL.md

What it does

Provides a CLI workflow for interacting with the Tongji Look platform: store IAM credentials locally, list courses, transcribe lecture videos to SRT and TXT, download slide snapshots, and produce student-ready Markdown study notes and a timeline outline derived from transcript + slides. The skill separates responsibilities: the bundled CLI handles authentication, downloading, and ASR; the agent reads the generated artifacts and writes the final Markdown notes and timeline.

When to use it

Use this skill when you need to convert a Tongji Look lecture into searchable transcripts, time-aligned outlines, and polished study notes—for example, after recording a lecture, when preparing revision materials, or when archiving course content. It is CLI-forward and intended for terminal-based automation or scripts.

What's included

Scripts: bundled Python CLI in scripts/ for setup, list, transcribe, slide download, and note workflows (has_scripts=true).
References: guidance files covering URL parsing, troubleshooting, and credential safety (has_references=true).
Instructions: explicit CLI commands and agent prompts for timeline normalization and Markdown note generation; clear artifact conventions for outputs saved to ./tongji-output/.

Compatible agents

Designed for agents that can run local CLIs and read file outputs (Claude Code, Copilot/Codex-style integrations, and assistant runtimes that support filesystem/script execution).

Audit Summary

A CLI-first skill for Tongji University's Look platform that logs in, lists courses, transcribes lectures to SRT/TXT, downloads slide snapshots, and generates Markdown study notes. Two scripts: a large main CLI (look_tongji.py) and a timeline formatting utility (timeline_tools.py). Neither ran successfully — the main script depends on an unbundled 'tongji_backend' package, and timeline_tools.py requires subcommand arguments. The SKILL.md is thorough with clear trigger phrases, output contracts, and reference docs. Security is solid: credentials stored in .env (gitignored), no exfiltration risks, no destructive commands.

Watch Out

Requires 'tongji_backend' Python package which is not bundled with the skill — needs separate install
Only useful for Tongji University students with Look platform access
SKILL.md is quite long (~200 lines) which may consume significant context

Missing Dependencies

tongji_backend

Notes

Well-structured niche skill for Chinese university lecture note generation. Clean security posture. Main dependency (tongji_backend) is external and not included, making out-of-the-box usage require setup. timeline_tools.py is a solid utility with good input validation. The parallel transcript+slide workflow in cmd_note is well-designed.

Information

Repository: look-tongji-notes
Stars: 10
Installs: 0

Trust Score

Overall83

Security95

Code Quality72

Architecture68

Usefulness55

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