A local tool that builds and serves a course knowledge base as a website. It can show lecture videos, learning resources, transcripts, and Markdown study notes.

It is for rebuilding the course wiki, serving it on a local web address, previewing written notes, and checking session duration and note formatting.

It gives you a local preview of course material and flags sessions shorter than an hour for possible re-transcription. It also checks that notes contain knowledge content rather than task instructions.

wiki — Skill for Claude Code by WALKERKILLER

Install

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.

Any agent

npx skills add WALKERKILLER/Look-Tongji-Notes --skill wiki

Clone the repo

git clone --depth 1 https://github.com/WALKERKILLER/Look-Tongji-Notes

Made for: Claude Code.

Or install look-tongji-notes, the plugin that ships this one along with the rest of its 11 skills.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/walkerkiller/look-tongji-notes/wiki/github.svg)](https://agentmods.dev/skills/walkerkiller/look-tongji-notes/wiki)

Your own site

<a href="https://agentmods.dev/skills/walkerkiller/look-tongji-notes/wiki"><img src="https://agentmods.dev/badge/skills/walkerkiller/look-tongji-notes/wiki/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/walkerkiller/look-tongji-notes/wiki"><img src="https://agentmods.dev/badge/skills/walkerkiller/look-tongji-notes/wiki.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 440 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00029	$0.00440
Opus 5	$0.00015	$0.00220
Sonnet 5	$0.00006	$0.00088
Haiku 4.5	$0.00003	$0.00044

Measured 10d ago against content hash b731169ed75b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

wiki 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.

skills/wiki/SKILL.md · 59 lines

What it actually says

Wiki

Build and locally serve the course knowledge base.

When to Use

User says /wiki or "open the course wiki" or "serve the wiki".
After writing notes, to preview the generated site.

Workflow

Serve (build + start HTTP server):

python "<SKILL_DIR>/../../scripts/look_tongji.py" serve --port 8765

Build only (no server):

python "<SKILL_DIR>/../../scripts/look_tongji.py" build

Page Structure

Each session page follows this layout (top to bottom):

Lecture Video (top) — embedded player area when video metadata is available, or a direct video link
Resources (middle) — supplementary materials, slide download links, and transcript download links
Note (bottom) — pure Markdown study content without task-oriented meta-descriptions

Duration Check

Sessions with duration_seconds < 3600 are flagged with a warning indicator in the wiki UI.
The agent should suggest re-transcription for short sessions.

Note Cleanliness

Notes must be pure knowledge content without task-oriented meta-descriptions.
See /note skill for the full list of forbidden phrases.

Validation

The generated site uses the vendored llm-wiki frontend.
UI chrome (language toggle, navigation) is handled by the frontend; content is from workspace data.

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/).

Files

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.

manifest.yaml 180 B

Changes

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 · 59 lines · 29 tokens per session scan A b731169ed75b

Subscribe to this mod's changes

wiki is a skill published in the GitHub repository WALKERKILLER/Look-Tongji-Notes (41 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 440 once invoked, about $0.0001 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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