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.
git clone --depth 1 https://github.com/redhat-community-ai-tools/UnifAIWrote 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/redhat-community-ai-tools/unifai/design)<a href="https://agentmods.dev/commands/redhat-community-ai-tools/unifai/design"><img src="https://agentmods.dev/badge/commands/redhat-community-ai-tools/unifai/design/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/commands/redhat-community-ai-tools/unifai/design"><img src="https://agentmods.dev/badge/commands/redhat-community-ai-tools/unifai/design.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 | $0.00000 | $0.00316 |
| Opus 5 | $0.00000 | $0.00158 |
| Sonnet 5 | $0.00000 | $0.00063 |
| Haiku 4.5 | $0.00000 | $0.00032 |
Grade A, and why
design 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.
What it actually says
following this command please follow these steps:
- if a jira case is available check if you have some way to connect to jira (either by mcp or any other way) - if not stop and notify the user that he needs to set jira integration.
- getting the information from jira you need to understand what is needed in this case and prepare a design to close it
MANDATORY: Use the template structure from '.cursor/files/ADR - Architecture Review Template.md' to create 2 files one in markdown format and the 2nd in html format, both must have the same content so make sure you get the formatting right
DOCUMENT STRUCTURE - MUST FOLLOW EXACTLY the structure in '.cursor/files/ADR - Architecture Review Template.md'
CRITICAL RULES: ✅ DO: Use TABLE format for ALL sections (as in template) ✅ DO: Keep Section 1 to 3 table rows only ✅ DO: Put Success Metrics in Section 1, not elsewhere ✅ DO: List specific file paths in Section 2 ✅ DO: Use exact section headers from template ✅ DO: Include diagrams in Section 3 ❌ DON'T: Add prose paragraphs outside the table structure ❌ DON'T: Expand Section 1 with details (save for Section 3) ❌ DON'T: Skip any template sections ❌ DON'T: Create your own section structure
CONTENT FOCUS:
- 95% on the NEW solution
- Current state: 1-2 lines maximum (only in Problem Statement if needed)
- No migration analysis unless explicitly requested
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 · 25 lines · 0 tokens per session scan A 81c5b6aeb468
design is a command published in the GitHub repository redhat-community-ai-tools/UnifAI (44 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 316 tokens. 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 commands, from other repositories
new-rag
Scaffold a new RAG (Retrieval-Augmented Generation) pipeline with best practices.
memory-store
Store an insight, decision, or pattern to memory.
dispatcher
Pick the next-best repo to work on across the portfolio — rank free repos, recommend one, claim its lease atomically, and route to the entry command.
cost-tracker
Track session costs, understand token spend, and get optimization tips.
mach12:gh-pr-read
Read a GitHub pull request's title, body, and all top-level PR conversation comments; optionally locate an HTML-marker comment.
requirement-review
A command that has several specialized agents review a requirements document and produce a revised version through a controlled workflow.