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 redhat-community-ai-tools/UnifAI --skill uigit 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/skills/redhat-community-ai-tools/unifai/ui)<a href="https://agentmods.dev/skills/redhat-community-ai-tools/unifai/ui"><img src="https://agentmods.dev/badge/skills/redhat-community-ai-tools/unifai/ui/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/redhat-community-ai-tools/unifai/ui"><img src="https://agentmods.dev/badge/skills/redhat-community-ai-tools/unifai/ui.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.02577 |
| Opus 5.5 | $0.00013 | $0.01031 |
| Sonnet 5.5 | $0.00007 | $0.00515 |
| Haiku 4.5 | $0.00003 | $0.00258 |
Grade A, and why
ui-knowledge 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.
How it starts
The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.
UI Knowledge System
React 18 SPA (~280 TS/TSX files) with Nginx reverse proxy. Feature-oriented layout (NOT hexagonal).
Component Routing
| Path prefix | Module | Files | Description |
|---|---|---|---|
api/ |
API Layer | ~19 | Typed API modules, one per backend target service |
components/agentic-ai/ |
Agentic AI | ~51 | Graph builder, chat, templates, inventory |
components/ui/ |
shadcn/ui | ~51 | Radix-based UI primitives (Button, Dialog, Select, etc.) |
components/shared/ |
Shared | ~22 | FieldRenderer, ShareWorkflow, common widgets |
hooks/ |
Custom Hooks | ~23 | Domain hooks (sessions, graphs, workspace, etc.) |
contexts/ |
React Contexts | 7 files / 8 contexts | Auth, Theme, View, Shared, Notification, AgenticAI, Streaming, Project |
http/ |
HTTP Clients | 4 | Axios instances for each backend service |
features/ |
Feature Modules | ~22 | Slack, docs, configuration slices |
pages/ |
Pages | ~12 | Route-level page components |
types/ |
Types | ~8 | Shared TypeScript types (graph, session, workspace, templates) |
HTTP Clients (4 backends)
| Client | File | Base URL | Target |
|---|---|---|---|
queryClient |
http/queryClient.ts |
/api1 |
RAG |
axiosAgentConfig |
http/axiosAgentConfig.ts |
/api2 |
MAS |
authClient |
http/authClient.ts |
/api3 |
Identity |
backendClient |
http/backendClient.ts |
/api4 |
Platform |
Context Provider Tree
QueryClientProvider → ThemeProvider → AuthProvider → SharedProvider
→ ViewProvider → ProjectProvider → NotificationProvider → routes
Route-scoped: AgenticAIProvider (agentic routes)
StreamingDataProvider (chat/execution views)
| Context | Hook | Key Responsibility |
|---|---|---|
AuthContext |
useAuth |
Session, login/logout, token refresh, X-Authenticated-User |
ViewContext |
useView |
Private vs team workspace, selected team, user groups |
ThemeContext |
useTheme |
Dark/light toggle, primary color CSS vars |
AgenticAIContext |
useAgenticAI |
Resource UUID↔name maps, validation caches (~760 LOC) |
StreamingDataContext |
useStreamingData |
In-memory node stream map for live graph/chat |
NotificationContext |
useNotifications |
Share invites (received/sent), accept/decline |
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 · 222 lines · 33 tokens per session scan A 03739c565ed9
ui-knowledge is a skill published in the GitHub repository redhat-community-ai-tools/UnifAI (45 stars, last pushed yesterday), licensed Apache-2.0. It adds 33 tokens to every session and 2,577 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.
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