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 addgit 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/add)<a href="https://agentmods.dev/skills/walkerkiller/look-tongji-notes/add"><img src="https://agentmods.dev/badge/skills/walkerkiller/look-tongji-notes/add/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/add"><img src="https://agentmods.dev/badge/skills/walkerkiller/look-tongji-notes/add.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 | $0.00042 | $0.00398 |
| Opus 5.5 | $0.00017 | $0.00159 |
| Sonnet 5.5 | $0.00008 | $0.00080 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
add 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
Add Materials
Attach supplementary materials to a lecture session.
When to Use
- User says
/addor "add this material to the course". - After transcribing a lecture, adding additional PDFs/PPTs/docs.
- User wants materials indexed into the wiki without re-running transcription.
Workflow
- Import materials:
python "<SKILL_DIR>/../../scripts/look_tongji.py" add \
--course-id "<ID>" --sub-id "<ID>" \
--material "handout=/path/to/file.pdf"
- The CLI copies files into the session's
materials/<name>/directory. - MarkItDown auto-converts supported formats to Markdown.
- The course wiki index is updated automatically.
Supported Formats
- PDF (.pdf), PPTX (.pptx), DOCX (.docx) — via MarkItDown
- Images (.png, .jpg, .webp) — copied as-is
- Text/Code (.txt, .md, .py, .js) — copied as-is
Difference from /note --material
/add only imports materials + updates the index. It does NOT trigger transcription or slide download.
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.
- 1mo ago First seen · 47 lines · 42 tokens per session scan A 01c34a6c5f06
add is a skill published in the GitHub repository WALKERKILLER/Look-Tongji-Notes (51 stars, last pushed yesterday), licensed MIT. It adds 42 tokens to every session and 398 once invoked, about $0.0002 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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