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 jasonkneen/lazar --skill create-tuigit clone --depth 1 https://github.com/jasonkneen/lazarWrote 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/jasonkneen/lazar/create-tui)<a href="https://agentmods.dev/skills/jasonkneen/lazar/create-tui"><img src="https://agentmods.dev/badge/skills/jasonkneen/lazar/create-tui/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/jasonkneen/lazar/create-tui"><img src="https://agentmods.dev/badge/skills/jasonkneen/lazar/create-tui.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 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 Rogue Agent · line 82 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 116 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.
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 | $0.00000 | $0.01796 |
| Opus 5.5 | $0.00000 | $0.00718 |
| Sonnet 5.5 | $0.00000 | $0.00359 |
| Haiku 4.5 | $0.00000 | $0.00180 |
Grade A, and why
create-tui 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 2mo 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
create-tui
Scaffold a terminal interface (TUI) that talks to lazar. The output is a small project under $LAZAR_HOME/workspace/<name>/. The TUI is a client — it spawns lazar -p --output-format stream-json as a subprocess and renders the JSONL events. Lazar itself is the agent; the TUI is just the mouth and ears.
This skill is for richer experiences than scripts/lazar-chat.sh (a 30-line shell loop with glow piping). If the user just wants to chat with markdown rendering, point them there first and skip this skill.
When to use
- The user asks for a "TUI", "chat interface", "interactive UI" for lazar.
- They want streaming, markdown, scrollback, keyboard shortcuts, or split panes.
- They mention bubble tea, textual, ink, blessed, ratatui, or any TUI framework.
Always ask first
Before generating anything, ask the user three things:
- Stack — see Stack Choice table below. Default is TypeScript + readline.
- Customization — input style, tool display, loader, banner.
- Project name — for the directory and any banner art.
Don't pre-commit to a stack. Different users have very different terminal preferences.
Stack choice
| Stack | When to pick | Notes |
|---|---|---|
| TypeScript + readline (default) | Cross-platform, no compile step, easiest to extend | Single src/cli.ts file, adapts to terminal theme. See references/typescript-readline.md. |
| Go + Bubble Tea + Glamour | User wants a polished split-pane TUI with markdown, viewport, textarea, image rendering | Heavier setup. Set GOMODCACHE=workspace/<name>/.gocache/mod (see _meta/log-rotation cousin). The user may already have one at workspace/lazartui/ — read it first. |
| Python + Textual | Python users, widget-based design | Use a venv at workspace/<name>/.venv/. Textual handles streaming widgets cleanly. |
| Other | User has a specific stack | Read references/stream-json-protocol.md and adapt. |
Lazar protocol — read this first
What ships with it
2 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.
- 2mo ago First seen · 120 lines · 0 tokens per session scan A aaebe44b2a5b
create-tui is a skill published in the GitHub repository jasonkneen/lazar (31 stars, last pushed 21d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,796 tokens. 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.
Other skills, from other repositories
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
component-fixtures
Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.