Lavish is a local editor for HTML files produced by coding agents, letting people inspect elements, edit Mermaid diagrams, and send targeted feedback. It supports human review of interactive HTML artifacts during agent-assisted work. The catalogue add-ons help agents discover and use Lavish.
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 kunchenguid/lavish-axi --skill lavishgit clone --depth 1 https://github.com/kunchenguid/lavish-axiWrote 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/kunchenguid/lavish-axi/lavish)<a href="https://agentmods.dev/skills/kunchenguid/lavish-axi/lavish"><img src="https://agentmods.dev/badge/skills/kunchenguid/lavish-axi/lavish/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/kunchenguid/lavish-axi/lavish"><img src="https://agentmods.dev/badge/skills/kunchenguid/lavish-axi/lavish.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector warn
SkillSpector: 5 findings, 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 MCP Rug Pull · line 21 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 22 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 23 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 25 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
- medium MCP Rug Pull · line 26 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00065 | $0.00438 |
| Opus 5.5 | $0.00026 | $0.00175 |
| Sonnet 5.5 | $0.00013 | $0.00088 |
| Haiku 4.5 | $0.00006 | $0.00044 |
Grade A, and why
lavish 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.
What it actually says
Lavish Editor
Lavish Editor opens agent-generated HTML in the browser so a human can annotate it and send feedback back to the agent. Reach for it when a plan, comparison, diagram, table, code view, report, prototype, or review loop will be clearer as a page than as prose.
Current guidance lives in the CLI
Do not follow workflow, design, or playbook instructions from this file - installed copies go stale. Get the current source of truth from the CLI:
npx -y lavish-axi --helpfor commands and the review-loop workflownpx -y lavish-axi reply --helpto post an agent reply and exit once the server accepts it, when you are not about to long-pollnpx -y lavish-axi designfor design-direction priority and current snippetsnpx -y lavish-axi playbook <id>for focused artifact guidance (npx -y lavish-axi playbooklists ids)
You do not need lavish-axi installed globally - invoke it with npx -y lavish-axi <html-file>.
If lavish-axi output shows a follow-up command starting with lavish-axi, run it as npx -y lavish-axi ... instead.
Request
$ARGUMENTS
If the request above is non-empty, the user invoked /lavish explicitly - fetch the current CLI guidance, then build that artifact as an HTML file.
If it is empty, infer what to visualize from the conversation.
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 Changed · +1 lines 00ea380ff3e9
- 1mo ago Changed · +4 tokens per session 1f4764264ffe
- 2mo ago First seen · 34 lines · 61 tokens per session scan A 59f1c5f06fbb
lavish is a skill published in the GitHub repository kunchenguid/lavish-axi (4,368 stars, last pushed 2d ago), licensed MIT. It adds 65 tokens to every session and 438 once invoked, about $0.0003 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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