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 WALKERKILLER/Look-Tongji-Notes --skill cheatsheetgit 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/skills/walkerkiller/look-tongji-notes/cheatsheet)<a href="https://agentmods.dev/skills/walkerkiller/look-tongji-notes/cheatsheet"><img src="https://agentmods.dev/badge/skills/walkerkiller/look-tongji-notes/cheatsheet/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/walkerkiller/look-tongji-notes/cheatsheet"><img src="https://agentmods.dev/badge/skills/walkerkiller/look-tongji-notes/cheatsheet.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 | $0.00046 | $0.00388 |
| Opus 5 | $0.00023 | $0.00194 |
| Sonnet 5 | $0.00009 | $0.00078 |
| Haiku 4.5 | $0.00005 | $0.00039 |
Grade A, and why
cheatsheet 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 10d 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
Cheatsheet
Generate exam cheat sheets from course lecture notes.
When to Use
- User says
/cheatsheetor asks for an exam cheat sheet. - After lecture notes have been written for relevant sessions.
Workflow
- Check environment:
python "<SKILL_DIR>/../../scripts/look_tongji.py" cheatsheet --format html
- The agent reads course notes and produces content organized into sections.
- Two output paths:
Path A — LaTeX (XeLaTeX available)
Uses <SKILL_DIR>/../../.mock-wiki/CheatingSheetTemplate/CheatingSheet.tex.
- 4 columns, 5pt body, A4 paper
- Compile:
xelatex -interaction=nonstopmode cheatsheet.tex
Path B — HTML (no XeLaTeX)
Self-contained HTML with CSS print layout.
- Same 4-column, 5pt typography
- Print to A4 PDF from browser
Prompt Template
Read <SKILL_DIR>/../../.mock-wiki/CheatingSheetTemplate/README.md for the generation prompt and typographic specification.
Where <SKILL_DIR> Points
<SKILL_DIR> is the directory containing this SKILL.md. Shared scripts (look_tongji.py, timeline_tools.py, tongji_backend/) and references live two levels up in the repository root (<SKILL_DIR>/../../scripts/ and <SKILL_DIR>/../../references/).
What ships with it
1 file 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.
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.
- 10d ago First seen · 47 lines · 46 tokens per session scan A e4f1491f3b3c
cheatsheet is a skill published in the GitHub repository WALKERKILLER/Look-Tongji-Notes (41 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 388 once invoked, about $0.0002 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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