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 agentmods add commands/jsydorowicz21/universal-ai-infrustructure/tmgit clone --depth 1 https://github.com/jSydorowicz21/Universal-AI-InfrustructureWrote 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/commands/jsydorowicz21/universal-ai-infrustructure/tm)<a href="https://agentmods.dev/commands/jsydorowicz21/universal-ai-infrustructure/tm"><img src="https://agentmods.dev/badge/commands/jsydorowicz21/universal-ai-infrustructure/tm.svg" alt="Measured on agentmods" 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 | $0.00041 | $0.00147 |
| Opus 5 | $0.00020 | $0.00073 |
| Sonnet 5 | $0.00008 | $0.00029 |
| Haiku 4.5 | $0.00004 | $0.00015 |
Grade A, and why
tm 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 4d 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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 4d ago First seen · 18 lines · 41 tokens per session scan A f15639017189
tm is a command published in the GitHub repository jSydorowicz21/Universal-AI-Infrustructure (2 stars, last pushed 5d ago), with no licence file. It adds 41 tokens to every session and 147 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 2026-08-31.
Other commands, from other repositories
start-10-1
Command "start-10-1" from minicoohei/ai-agent-camp, covering 🎓 lesson 10-1: clasp基本・gasプロジェクト管理, 📍 このセッションでやること, 🎯 準備チェック, 🚀 step 1: claspのインストールと apps script api の確認 and 🚀 step 2: google認証.
start-0-8
AIが自動実行: uv run python tools/setupprogress.py show を実行して現在のセットアップ進捗を表示する。.
start-1
Claude Code 를 처음 쓰는 PM 이 "설치 → 도구 지도 이해 → CLAUDE.md 로 맥락 주기" 까지 직접 손으로 해보며 익히도록, 한 번에 한 단계씩 끌고 간다.
debrief
Post-engagement lessons learned analysis and debrief report.
explain
Read a BPMN 2.0 .bpmn file and explain it in plain language.
swift-exercise-pattern
Новое упражнение по паттернам проектирования или принципам SOLID.