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 dimetron/pi-go --skill bubbletea-testinggit clone --depth 1 https://github.com/dimetron/pi-goWrote 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/dimetron/pi-go/bubbletea-testing)<a href="https://agentmods.dev/skills/dimetron/pi-go/bubbletea-testing"><img src="https://agentmods.dev/badge/skills/dimetron/pi-go/bubbletea-testing/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/dimetron/pi-go/bubbletea-testing"><img src="https://agentmods.dev/badge/skills/dimetron/pi-go/bubbletea-testing.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 | $0.00139 | $0.03679 |
| Opus 5.5 | $0.00056 | $0.01472 |
| Sonnet 5.5 | $0.00028 | $0.00736 |
| Haiku 4.5 | $0.00014 | $0.00368 |
Grade A, and why
bubbletea-testing 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.
How it starts
The opening of the file, as written. The whole thing — 501 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bubble Tea Testing
Write robust, CI-friendly tests for Bubble Tea TUI applications using a three-layer strategy: direct model unit tests, golden file view snapshots, and full-program integration tests via teatest.
Architecture overview
Bubble Tea's Elm Architecture (Init, Update, View) makes TUI apps inherently testable. Update(msg) -> (model, cmd) is a pure function of state and message — no terminal, program, or event loop needed for most tests.
Three-layer strategy:
| Layer | Coverage | Speed | Tool |
|---|---|---|---|
| 1. Direct model tests | State transitions, commands, view content | ~ms | Standard testing |
| 2. Golden file snapshots | Visual regression on View() output |
~ms | golden.RequireEqual |
| 3. Full integration | End-to-end user flows | ~seconds | teatest.NewTestModel |
Target ratio: 80% Layer 1 / 15% Layer 2 / 5% Layer 3.
Layer 1: Direct model unit tests
Constructing test messages
Build tea.Msg values directly — they are plain Go structs:
// v1
qKey := tea.KeyMsg{Type: tea.KeyRunes, Runes: []rune("q")}
enter := tea.KeyMsg{Type: tea.KeyEnter}
ctrlC := tea.KeyMsg{Type: tea.KeyCtrlC}
down := tea.KeyMsg{Type: tea.KeyDown}
resize := tea.WindowSizeMsg{Width: 80, Height: 24}
// v2 renames
qKey := tea.KeyPressMsg{Type: tea.KeyRunes, Runes: []rune("q")}
click := tea.MouseClickMsg{X: 10, Y: 5, Button: tea.MouseButtonLeft}
Table-driven Update tests
The standard pattern — each case specifies initial state, message, and expected outcome:
func TestUpdate(t *testing.T) {
tests := []struct {
name string
initial model
msg tea.Msg
wantCursor int
wantQuit bool
}{
{
name: "down moves cursor",
initial: model{cursor: 0, choices: []string{"a", "b", "c"}},
msg: tea.KeyMsg{Type: tea.KeyDown},
wantCursor: 1,
},
{
name: "cursor stops at bottom",
initial: model{cursor: 2, choices: []string{"a", "b", "c"}},
msg: tea.KeyMsg{Type: tea.KeyDown},
wantCursor: 2,
},
{
name: "q triggers quit",
initial: model{},
msg: tea.KeyMsg{Type: tea.KeyRunes, Runes: []rune("q")},
wantQuit: true,
},
}
for _, tt := range tests {
t.Run(tt.name, func(t *testing.T) {
updated, cmd := tt.initial.Update(tt.msg)
m := updated.(model)
if m.cursor != tt.wantCursor {
t.Errorf("cursor = %d, want %d", m.cursor, tt.wantCursor)
}
if tt.wantQuit {
if cmd == nil {
t.Fatal("expected quit command")
}
if _, ok := cmd().(tea.QuitMsg); !ok {
t.Error("quit command did not return QuitMsg")
}
}
})
}
}
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 First seen · 501 lines · 139 tokens per session scan A b2020f5cf807
bubbletea-testing is a skill published in the GitHub repository dimetron/pi-go (212 stars, last pushed today), licensed MIT. It adds 139 tokens to every session and 3,679 once invoked, about $0.0006 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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