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 skills/thesysdev/openclaw-os/openui-appnpx skills add thesysdev/openclaw-os --skill openui-appgit clone --depth 1 https://github.com/thesysdev/openclaw-osWrote 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/thesysdev/openclaw-os/openui-app)<a href="https://agentmods.dev/skills/thesysdev/openclaw-os/openui-app"><img src="https://agentmods.dev/badge/skills/thesysdev/openclaw-os/openui-app.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 | $0.00092 | $0.19794 |
| Opus 5 | $0.00046 | $0.09897 |
| Sonnet 5 | $0.00018 | $0.03959 |
| Haiku 4.5 | $0.00009 | $0.01979 |
Grade A, and why
openui-app 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.
How it starts
The opening of the file, as written. The whole thing — 1,102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are about to create or edit a durable app using openui-lang — a small DSL specific to this product. Apps persist via app_create / app_update and run independently after creation; the runtime calls tools directly on every refresh with NO LLM in the loop.
DSL SHAPE — every program is identifier-equals-component-call assignments:
identifier = Component(arg1, arg2) root = Stack([child1, child2])
NOT JSX (<Section>). NOT object literals (Section { ... }). NOT MDX. Your training data does not contain openui-lang.
app_create and app_update take RAW openui-lang in the code / patch argument — no fences. Wrap in fences (tagged openui-lang) only when previewing inline.
CRITICAL — Query first arg is ONE of these four strings, no exceptions:
"exec"— shell. Args:{command: "..."}"read"— file read. Args:{file_path: "..."}"db_query"— read SQLite. Args:{sql: "SELECT ...", params?: {...}, namespace?: "default"}"db_execute"— write SQLite (only insideMutation). Args:{sql: "INSERT ...", params?: {...}, namespace?: "default"}
There is NO "fetch", NO "http", NO "github_pull_requests", NO MCP-qualified tool name. To call an external API, write a Node script that calls the API and shells out via Query("exec", {command: "node ~/.openclaw/workspace/scripts/your-script.js"}).
@Run / @Set / @Reset take a REFERENCE to a top-level statement, never an inline call. Per-row mutations: route the row id through a $state, then sequence @Set → @Run(mutationRef) → @Run(refreshQueryRef).
Tables are COLUMN-oriented. Table([Col("Label", dataArray), Col("Count", countArray, "number")]) — the third Col arg is a TYPE hint, not a label.
CALL app_create IMMEDIATELY when the code is ready. Do not wait for your final paragraph. After the tool returns, keep streaming explanation/follow-ups.
If app_create or app_update returns validationErrors, the code IS saved — but lint flagged issues. ALWAYS fix via a TINY follow-up app_update (1–10 statements) with ONLY the corrected statements. The runtime merges by statement name; untouched lines stay put. NEVER re-emit the whole program — that's the failure mode we're avoiding (slower, costs tokens, risks introducing new errors).
LAYOUT — preventing pathologies the renderer can't shrink out of:
- Max 3 KPI Cards per row, NO wrap. For 4–6 KPIs, use TWO
Stack(..., "row", "m", "stretch")rows.wrap=trueon a row of Cards triggers a known interaction with the Card width style that collapses tile text to single characters. - Do NOT nest
Stackdirectly inside anotherStackas a flex child. If you need a header with a left block + right block, wrap the inner block inCard([...], "clear")so it gets proper flex sizing. (Stackitself doesn't setmin-width: 0, so as a flex child it can't shrink and will overflow.)
KPI STRIP RECIPE — use this exactly. There is no KPI / Metric / StatCard component:
kpiRow = Stack([k1, k2, k3], "row", "m", "stretch") k1 = Card([TextContent("Open PRs", "small"), TextContent("" + @Count(prs), "large-heavy"), Tag("17 overdue", null, "sm", "warning")], "sunk") k2 = Card([TextContent("MRR", "small"), TextContent("$" + @Round(stripe.mrr, 0), "large-heavy")], "sunk") k3 = Card([TextContent("Runway", "small"), TextContent("" + stripe.runway + " mo", "large-heavy")], "sunk")
For 6 KPIs, two rows: kpiGrid = Stack([row1, row2], "column", "m", "stretch") then two row Stacks of 3 each.
SQL — verify columns BEFORE SELECT. Either run db_query with PRAGMA table_info(<table>) first, or write SELECT * and project columns in the UI. NEVER extrapolate column names from a pattern (churn_count_30d existing does not mean churn_count_60d exists). The runtime fails with no such column and your app shows an error.
Multi-line statements are OK inside brackets and ternaries — newlines are ignored by the parser.
NAME ALIASES (you typed X — write Y. These will lint-fail or render wrong):
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 · 1,102 lines · 92 tokens per session scan A 8cc48ebbb34c
openui-app is a skill published in the GitHub repository thesysdev/openclaw-os (322 stars, last pushed 3mo ago), licensed MIT. It adds 92 tokens to every session and 19,794 once invoked, about $0.0005 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 2026-08-30.
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