Borrowing it
Nothing to install: this file belongs to WALKERKILLER/Look-Tongji-Notes. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/WALKERKILLER/Look-Tongji-Notes/main/AGENTS.mdgit clone --depth 1 https://github.com/WALKERKILLER/Look-Tongji-NotesWrote 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/instructions/walkerkiller/look-tongji-notes/agents-md)<a href="https://agentmods.dev/instructions/walkerkiller/look-tongji-notes/agents-md"><img src="https://agentmods.dev/badge/instructions/walkerkiller/look-tongji-notes/agents-md.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 5.1 | $0.01299 | $0.01299 |
| Opus 5 | $0.00649 | $0.00649 |
| Sonnet 5 | $0.00260 | $0.00260 |
| Haiku 4.5 | $0.00130 | $0.00130 |
Grade A, and why
Look-Tongji-Notes AGENTS.md 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 8d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Look-Tongji-Notes
Purpose
Root of the Look Tongji Notes skill repository. Provides a multi-agent skill + CLI for processing lectures from Tongji Look (look.tongji.edu.cn): IAM SSO login, course listing, lecture transcription (SRT/TXT via BcutASR), slide snapshot download, supplementary material import, timeline outline generation, Markdown study-note writing, and static course knowledge-base site generation via the vendored llm-wiki library. Packaged as both a standalone CLI and an installable skill for Claude Code, Codex CLI, Cursor, Gemini CLI, OpenClaw, OpenCode, Hermes Agent, and GitHub Copilot.
Key Files
| File | Description |
|---|---|
LICENSE |
MIT license |
README.md |
English project overview, install/usage instructions, compliance notes |
README_ZH.md |
Chinese project overview with multi-agent skill structure documentation |
SKILL.md |
Agent skill definition with CLI workflow commands, prompt templates, output conventions |
requirements.txt |
Python dependencies (requests, playwright, python-dotenv, markdown, markitdown) |
Subdirectories
| Directory | Purpose |
|---|---|
agents/ |
OpenAI/Codex agent interface descriptor (openai.yaml) |
.agents/plugins/ |
Generic agents marketplace manifest (marketplace.json) for Copilot and other platforms |
.claude-plugin/ |
Claude Code platform manifest (plugin.json + marketplace.json) |
.codex-plugin/ |
Codex CLI platform manifest (plugin.json) |
.cursor-plugin/ |
Cursor platform manifest (plugin.json + marketplace.json) |
.gemini-plugin/ |
Gemini CLI platform manifest (plugin.json) |
.openclaw-plugin/ |
OpenClaw platform manifest (plugin.json) |
.opencode-plugin/ |
OpenCode platform manifest (plugin.json) |
.hermes-agent-plugin/ |
Hermes Agent platform manifest (plugin.json) |
images/ |
Branding assets (logo SVG) and usage guide screenshots |
llmwiki/ |
Vendored llm-wiki Python package for building static knowledge-base sites from session data |
references/ |
Security, troubleshooting, and URL-format reference documentation for agent consumption |
scripts/ |
CLI entry point (look_tongji.py) and backend modules for auth, API client, transcription, slide download, and workspace management |
skills/ |
9 atomic per-command skill files (skills/<name>/SKILL.md) with manifest.yaml each, for multi-agent platforms |
CheatingSheetTemplate/ |
LaTeX template + fonts for cheat sheet generation (also referenced via .mock-wiki/CheatingSheetTemplate/) |
.trash/ |
Preserved legacy files (recoverable); non-runtime directory |
.omc/ |
OMC workflow metadata (plans, state, logs); non-runtime directory |
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.
- 8d ago First seen · 80 lines · 1,299 tokens per session scan A e2b95521610d
Look-Tongji-Notes AGENTS.md is an instructions file published in the GitHub repository WALKERKILLER/Look-Tongji-Notes (41 stars, last pushed 2mo ago), licensed MIT. It adds 1,299 tokens to every session, about $0.0065 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.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.