Pop is a terminal application for composing and sending email through Resend or SMTP, with a text-based user interface and Markdown-to-HTML rendering. Developers and coding agents use it to send messages and build command-line email workflows. The catalogue entry provides an instruction for using Pop.
Borrowing it
Nothing to install: this file belongs to charmbracelet/pop. 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/charmbracelet/pop/main/AGENTS.mdgit clone --depth 1 https://github.com/charmbracelet/popWrote 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/instructions/charmbracelet/pop/agents-md)<a href="https://agentmods.dev/instructions/charmbracelet/pop/agents-md"><img src="https://agentmods.dev/badge/instructions/charmbracelet/pop/agents-md/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/instructions/charmbracelet/pop/agents-md"><img src="https://agentmods.dev/badge/instructions/charmbracelet/pop/agents-md.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 | $0.01462 | $0.01462 |
| Opus 5.5 | $0.00585 | $0.00585 |
| Sonnet 5.5 | $0.00292 | $0.00292 |
| Haiku 4.5 | $0.00146 | $0.00146 |
Grade A, and why
pop AGENTS.md 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 — 147 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guide for AI agents working on the Pop codebase.
What is Pop?
Pop is a command-line email client built in Go. It supports two delivery methods — Resend (OAuth or API key) and SMTP — and provides both an interactive TUI (Bubble Tea) and non-interactive CLI sending.
Build & Development Commands
task build # Build the project
task lint # Run golangci-lint (strict config in .golangci.yml)
task lint:fix # Auto-fix lint issues
task vet # Run go vet
task test # Run tests
task fmt # Format code (gofumpt + goimports)
task tidy # Tidy go modules
task # Run the project (go run . {{.CLI_ARGS}})
Always run task lint before committing. The linter enables gofumpt and
goimports formatters, wrapcheck (errors from external packages must be
wrapped with fmt.Errorf("...: %w", err)), goconst (repeated string literals
should be constants), gosec, revive, and others.
Architecture
Source Layout
All source files are in the package root (no sub-packages):
main.go— Root cobra command, flag definitions, delivery method detection, non-interactive send pathmodel.go— Bubble Tea TUI model (Model), state machine, view renderingkeymap.go— TUI key bindings and helpemail.go— Email sending logic (SMTP via go-simple-mail, Resend via resend-go), Markdown-to-HTML conversion (goldmark)attachments.go— Attachment list item type and delegate for the TUIauth.go— OAuth 2.0 with PKCE: token storage, client registration, token exchange, refresh, callback serverauth_cli.go— Non-interactive OAuth flow (stdin not a terminal)auth_ui.go— Interactive OAuth flow (Bubble Tea TUI with spinner states)style.go— Lipgloss styles and charmtone color paletteskill.go—pop skillcommand (prints skill definition)skill.md— Embedded skill body (viago:embed)install_skill.go—pop install-skillcommand with per-agent subcommands
CLI vs TUI
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 · 147 lines · 1,462 tokens per session scan A 1d5e2fc3b190
pop AGENTS.md is an instructions file published in the GitHub repository charmbracelet/pop (2,927 stars, last pushed 1mo ago), licensed MIT. It adds 1,462 tokens to every session, about $0.0058 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.
pop AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pop AGENTS.mdcharmbracelet/pop | Instructions file | 2.9k | 1mo ago | MIT | A | 1,462 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |