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 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/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/thesysdev/openclaw-os/openui-app"><img src="https://agentmods.dev/badge/skills/thesysdev/openclaw-os/openui-app.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 7 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 875 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 876 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 6 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 86 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Excessive Agency · line 411 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
- medium Rogue Agent · line 849 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
- medium Rogue Agent · line 881 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00092 | $0.19794 |
| Opus 5.5 | $0.00037 | $0.07918 |
| Sonnet 5.5 | $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 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 — 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.
- 1mo 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 (329 stars, last pushed 5mo ago), licensed MIT. It adds 92 tokens to every session and 19,794 once invoked, about $0.0004 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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