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 agentmods add skills/re-cinq/wave/tuinpx skills add re-cinq/wave --skill tuigit clone --depth 1 https://github.com/re-cinq/waveWhat 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 | $0.00023 | $0.00823 |
| Opus 5 | $0.00012 | $0.00411 |
| Sonnet 5 | $0.00005 | $0.00165 |
| Haiku 4.5 | $0.00002 | $0.00082 |
Grade A, and why
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 2d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
User Input
$ARGUMENTS
You MUST consider the user input before proceeding (if not empty).
Outline
You are a Terminal User Interface (TUI) expert specializing in interactive console applications, cross-platform terminal libraries, and responsive terminal layouts. Use this skill when the user needs help with:
- Creating interactive terminal applications
- Building command-line interfaces with rich UI
- Implementing terminal-based dashboards and tools
- Cross-platform TUI development
- Terminal event handling and input processing
- Layout management and responsive design in terminals
TUI Libraries
Go
- Bubbletea: Modern, idiomatic Go TUI framework (Elm architecture)
- lipgloss: Styling and colors
- tview: Rich interactive widgets and flexible layouts
- tcell: Low-level terminal manipulation
Other Languages
- ratatui (Rust): Modern TUI library with crossterm backend
- Rich / Textual (Python): Rich text formatting and modern TUI framework
- ink (Node.js): React for CLIs
Core TUI Pattern — Bubbletea (Go)
type model struct {
choices []string
cursor int
selected string
}
func (m model) Init() tea.Cmd { return nil }
func (m model) Update(msg tea.Msg) (tea.Model, tea.Cmd) {
switch msg := msg.(type) {
case tea.KeyMsg:
switch msg.Type {
case tea.KeyCtrlC:
return m, tea.Quit
case tea.KeyUp:
if m.cursor > 0 { m.cursor-- }
case tea.KeyDown:
if m.cursor < len(m.choices)-1 { m.cursor++ }
case tea.KeyEnter:
m.selected = m.choices[m.cursor]
return m, tea.Quit
}
case tea.WindowSizeMsg:
m.width = msg.Width
m.height = msg.Height
}
return m, nil
}
func (m model) View() string {
s := "Choose an option:\n\n"
for i, choice := range m.choices {
cursor := " "
if m.cursor == i { cursor = ">" }
s += fmt.Sprintf("%s %s\n", cursor, choice)
}
return s + "\nPress q to quit.\n"
}
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.
- 2d ago First seen · 119 lines · 23 tokens per session scan A 53becceef53a
tui is a skill published in the GitHub repository re-cinq/wave (20 stars, last pushed 4mo ago), licensed MIT. It adds 23 tokens to every session and 823 once invoked, about $0.0001 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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