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 wikigit 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/wiki)<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.
<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>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 5.5 | $0.00012 | $0.00176 |
| Sonnet 5.5 | $0.00006 | $0.00088 |
| Haiku 4.5 | $0.00003 | $0.00044 |
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 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
Wiki
Build and locally serve the course knowledge base.
When to Use
- User says
/wikior "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 < 3600are 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
/noteskill 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/).
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 · 59 lines · 29 tokens per session scan A b731169ed75b
wiki is a skill published in the GitHub repository WALKERKILLER/Look-Tongji-Notes (51 stars, last pushed 3d ago), licensed MIT. It adds 29 tokens to every session and 440 once invoked, about $0.0001 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.
Other skills, from other repositories
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continuous-learning
Pattern extraction, confidence-scored evaluation, skill creation, organization, versioning, and cross-project export pipeline.
goga-discover
Interview the user relentlessly about a decision until every branch of the design tree is resolved, then record the result as a short ADR.
land
Build a stepped deck an audience works through until one thing of it stays with them. Use when the user needs an audience to come away holding one thing.
grasp
Build a walkthrough the user works through until they can pass a quiz on it. Use when the user needs to understand something deeply and be quizzed on it.
toy
Build a world the human drives until how a thing behaves is intuitive. Use when the user needs to hold how something behaves and reading has not made it intuitive.