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 lynx-community/skills --skill lynx-a2uigit clone --depth 1 https://github.com/lynx-community/skillsWrote 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/lynx-community/skills/lynx-a2ui)<a href="https://agentmods.dev/skills/lynx-community/skills/lynx-a2ui"><img src="https://agentmods.dev/badge/skills/lynx-community/skills/lynx-a2ui/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/lynx-community/skills/lynx-a2ui"><img src="https://agentmods.dev/badge/skills/lynx-community/skills/lynx-a2ui.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 | $0.00031 | $0.04343 |
| Opus 5 | $0.00015 | $0.02171 |
| Sonnet 5 | $0.00006 | $0.00869 |
| Haiku 4.5 | $0.00003 | $0.00434 |
Grade A, and why
lynx-a2ui 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.
How it starts
The opening of the file, as written. The whole thing — 611 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A2UI Generator
Use this skill when an agent must turn a natural-language request into A2UI protocol data for rendering. The output is data only: a JSON array of A2UI v0.9 messages.
Generation Workflow
- Fetch the latest catalog from the URL in the Catalog Source section.
- Read
catalogId, component schemas, function schemas, required fields, enum values, and examples if the fetched catalog provides them. - Build the UI from the protocol rules, catalog schema, hard rules, and example patterns embedded in this skill.
- Translate the user's intent into a data model and a flat component graph that validates against the latest fetched catalog.
- Emit only the final JSON array of A2UI messages.
This skill is self-contained for third-party agent platforms. Do not rely on repository-local files.
Protocol Reference
A2UI is a JSON-based streaming UI protocol. The agent describes an interface by emitting declarative JSON messages. The renderer instantiates only trusted components from the active catalog. There is no arbitrary code: never emit JavaScript, HTML, CSS, event handlers, scripts, or executable snippets.
Design principles:
- Prompt-first: follow the in-context schema and examples exactly.
- Safe like data, expressive like code: emit trusted component data only.
- Structure/data separation: component messages define a flat UI graph; data model messages populate or update values used by dynamic bindings.
- Progressive rendering: each valid message may be rendered as it arrives. Prefer a useful minimal UI first, then add data or refinements.
- Transport-agnostic: A2UI messages may travel over SSE, REST, WebSocket, A2A, AG UI, MCP, or another host transport.
Envelope semantics:
createSurfacecreates a surface. Once created, itssurfaceIdandcatalogIdare fixed. To change catalog or theme, delete and recreate the surface.updateDataModelsets values inside a surface's data model. It has shape{ "surfaceId": string, "path"?: string, "value"?: any }.pathdefaults to/, andvaluemay be any JSON value.updateComponentsadds or replaces component definitions for a surface. It may reference data paths, but those paths should already be populated by an earlierupdateDataModelmessage in the same response.deleteSurfaceremoves a surface.
What ships with it
1 file 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.
- 10d ago First seen · 611 lines · 31 tokens per session scan A 244f16ac7c67
lynx-a2ui is a skill published in the GitHub repository lynx-community/skills (25 stars, last pushed 7d ago), licensed Apache-2.0. It adds 31 tokens to every session and 4,343 once invoked, about $0.0002 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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