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 LouisLau-art/multi-agent-skills-catalog --skill uow-assignmentgit clone --depth 1 https://github.com/LouisLau-art/multi-agent-skills-catalogWrote 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/louislau-art/multi-agent-skills-catalog/uow-assignment)<a href="https://agentmods.dev/skills/louislau-art/multi-agent-skills-catalog/uow-assignment"><img src="https://agentmods.dev/badge/skills/louislau-art/multi-agent-skills-catalog/uow-assignment/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/louislau-art/multi-agent-skills-catalog/uow-assignment"><img src="https://agentmods.dev/badge/skills/louislau-art/multi-agent-skills-catalog/uow-assignment.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 | $0.00033 | $0.00228 |
| Opus 5.5 | $0.00013 | $0.00091 |
| Sonnet 5.5 | $0.00007 | $0.00046 |
| Haiku 4.5 | $0.00003 | $0.00023 |
Grade A, and why
uow-assignment 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
UOW Assignment Helper
Generates standardized answer templates for University of Wollongong assignments, extracting questions from PDFs and setting up proper document structure.
When to use
- User asks for help with a UOW assignment
- Starting work on a new assignment from PDF
- Need to extract questions and create answer template
Quick start
# Extract questions from assignment PDF and create template
/uow-assignment <assignment.pdf>
Features
- Auto-extracts questions from assignment PDFs
- Generates answer templates with student ID header
- Supports LaTeX (for CSIT940, etc.) and Markdown formats
- Creates proper directory structure
Output format
Creates a directory with:
answers.mdoranswers.tex- answer template with extracted questionsCHECKLIST.md- assignment requirements checklistsubmission/- directory for final submission files
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 · 37 lines · 33 tokens per session scan A bde23bf74c95
uow-assignment is a skill published in the GitHub repository LouisLau-art/multi-agent-skills-catalog (2 stars, last pushed yesterday), licensed MIT. It adds 33 tokens to every session and 228 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 2026-08-31.
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