CLI Agent Orchestrator is a tool that coordinates multiple AI coding command-line programs by running them as separate workers in isolated terminal sessions. A supervisor uses it to delegate software tasks to specialist agents in parallel or in sequence while the workers retain their normal command-line capabilities. The catalogue skills operate this orchestration workflow.
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 awslabs/cli-agent-orchestrator --skill agui-authorgit clone --depth 1 https://github.com/awslabs/cli-agent-orchestratorWrote 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/awslabs/cli-agent-orchestrator/agui-author)<a href="https://agentmods.dev/skills/awslabs/cli-agent-orchestrator/agui-author"><img src="https://agentmods.dev/badge/skills/awslabs/cli-agent-orchestrator/agui-author.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Data Exfiltration · line 149 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00093 | $0.02085 |
| Opus 5 | $0.00046 | $0.01043 |
| Sonnet 5 | $0.00019 | $0.00417 |
| Haiku 4.5 | $0.00009 | $0.00209 |
Grade A, and why
agui-author scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -N 'http://localhost:9889/agui/v1/stream' How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Authoring generative UI over AG-UI
CAO exposes an AG-UI stream (GET /agui/v1/stream) that any dashboard —
CopilotKit, the AG-UI Dojo, or a plain EventSource — renders
without CAO-specific code. As an agent you can push a declarative UI intent
onto that stream with the emit_ui MCP tool. The operator sees a rendered card,
not raw text — and because every provider's intents render uniformly, they can't
tell (and don't need to) which CLI agent produced which card.
The surface must be enabled on the server (CAO_AGUI_ENABLED=true or
CAO_MCP_APPS_ENABLED=true — the two surfaces share one event source). When it
is disabled, emit_ui returns {"ok": false, "reason": "AG-UI surface disabled…"}
— treat that as a no-op, not an error.
Safety model (why this is always safe to call)
You may emit only a closed allow-list of named components with JSON props.
There is no HTML, no script, no eval, no iframe. The intent is validated
server-side against the allow-list before it reaches the stream:
- An off-list component (e.g.
iframe,script) is refused — the tool raises aValueError; nothing is rendered. propsmust be JSON-serializable and are bounded to 8 KB — an oversized or non-serializable payload is rejected at theemit_uiboundary (HTTP 400, the tool raises aValueError), so a bad payload never reaches the bus.- If the AG-UI surface is disabled on the server, the tool degrades gracefully (no error) — so calling it is never fatal.
- The AG-UI stream is metadata-only by contract: never put message bodies, credentials, or file contents in props. Reference paths, not contents.
The tool
emit_ui(component: str, props: dict) -> {"ok", "event_id", "component"}
component must be one of: approval_card, choice_prompt, diff_summary,
progress, metric, agent_card.
When to use which component
Props below are what a conformant client renderer will display; unknown extra keys are ignored, not refused.
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 169 lines · 93 tokens per session scan A 4b875879cdec
agui-author is a skill published in the GitHub repository awslabs/cli-agent-orchestrator (1,223 stars, last pushed yesterday), licensed Apache-2.0. It adds 93 tokens to every session and 2,085 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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