Borrowing it
Nothing to install: this file belongs to compozy/kb. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/compozy/kb/main/.agents/skills/bubbletea/SKILL.mdgit clone --depth 1 https://github.com/compozy/kbWrote 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/compozy/kb/bubbletea)<a href="https://agentmods.dev/skills/compozy/kb/bubbletea"><img src="https://agentmods.dev/badge/skills/compozy/kb/bubbletea/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/compozy/kb/bubbletea"><img src="https://agentmods.dev/badge/skills/compozy/kb/bubbletea.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00046 | $0.00474 |
| Opus 5.5 | $0.00018 | $0.00190 |
| Sonnet 5.5 | $0.00009 | $0.00095 |
| Haiku 4.5 | $0.00005 | $0.00047 |
Grade A, and why
bubbletea 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 25d 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 — 33 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bubble Tea TUI Development
Work with the repository's installed Bubble Tea/Lip Gloss versions and existing model/update/view structure. Use current official docs for version-specific API changes; do not assume bundled examples match the consuming project's major version.
Implementation
- Reuse nearby components and state ownership. A small widget does not require a new project scaffold, YAML configuration, hot reload, mouse handling, or effects library.
- Before changing layout, inspect the relevant guidance in
references/golden-rules.md. Measure the actual frame/padding and clamp small-terminal dimensions; subtracting a fixed two cells is valid only for that exact border. - Use terminal-cell/ANSI-aware measurement and truncation. Do not slice strings by byte length or assume code points equal display width. Choose clipping, wrapping, or scrolling for the content's behavior; not all bordered text must truncate.
- Keep hit-testing consistent with the rendered layout and focus state. Proportional sizing is useful for flexible panes; fixed sizes are valid for intentional controls.
- Keep effectful work outside rendering and preserve the model/update lifecycle. Validate the changed interaction and relevant narrow/wide terminal sizes; add an owning test only when behavior lacks coverage.
References
| Concern | Read as needed |
|---|---|
| Border sizing, panel alignment | references/golden-rules.md |
| Existing widget patterns | references/components.md |
| Rendering failure | references/troubleshooting.md |
| Unicode/emoji alignment | references/emoji-width-fix.md |
Bundled templates are optional starting points for a new application. Adapt their API versions and layout assumptions; do not replace a working project structure or add dependencies it does not need. Install required dependencies through the repository's package workflow, not by hand-editing go.mod. Product behavior, terminal constraints, and project conventions take precedence over illustrative examples.
What ships with it
4 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.
- 25d ago First seen · 33 lines · 46 tokens per session scan A 7b62464bae78
bubbletea is a skill published in the GitHub repository compozy/kb (112 stars, last pushed 3d ago), licensed MIT. It adds 46 tokens to every session and 474 once invoked, about $0.0002 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 2026-09-26.
Other skills, from other repositories
golang-testing
Go testing best practices including table-driven tests, test helpers, benchmarking, race detection, coverage analysis, and integration testing patterns. Use when writing or improving Go tests.
golang-patterns
Go-specific design patterns and best practices including functional options, small interfaces, dependency injection, concurrency patterns, error handling, and package organization. Use when working with Go code to apply idiomatic Go patterns.
ax-go-agent-optimize
Use when writing Go code with github.com/ax-llm/ax/packages/go for agent optimization, verified agent-playbook evolution, evaluators, judges, optimizer artifacts, BootstrapFewShot, and GEPA.
golang-testing
Production-ready Golang tests — table-driven tests, testify suites and mocks, parallel tests, fuzzing, fixtures, goroutine leak detection with goleak, snapshot testing, code coverage, integration tests, idiomatic test naming. Use when writing or reviewing Go tests, choosing a testing approach, setting up Go test CI…
golang-samber-oops
Structured error handling in Golang with samber/oops — error builders, stack traces, error codes, error context, error wrapping, error attributes, user-facing vs developer messages, panic recovery, and logger integration. Apply when using or adopting samber/oops, or when the codebase already imports…
golang-uber-fx
Golang application framework using uber-go/fx — fx.New, fx.Provide, fx.Invoke, fx.Module, fx.Lifecycle hooks, fx.Annotate (name/group/As), fx.Decorate, fx.Supply, fx.Replace, fx.WithLogger, and signal-aware Run(). Apply when using or adopting uber-go/fx, when the codebase imports go.uber.org/fx, or when wiring…