Atmos is an infrastructure runtime that coordinates tools such as Terraform, OpenTofu, Kubernetes, Helm, Packer, Ansible, and containers through consistent commands and configuration. It is for teams running cloud infrastructure on laptops, in CI, or through AI agents across environments and regions. Its catalogue entries provide skills, agents, commands, and other add-ons for Atmos workflows.
Borrowing it
Nothing to install: this file belongs to cloudposse/atmos. 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/cloudposse/atmos/main/.claude/agents/tui-list.mdgit clone --depth 1 https://github.com/cloudposse/atmosWrote 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/agents/cloudposse/atmos/tui-list)<a href="https://agentmods.dev/agents/cloudposse/atmos/tui-list"><img src="https://agentmods.dev/badge/agents/cloudposse/atmos/tui-list/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/agents/cloudposse/atmos/tui-list"><img src="https://agentmods.dev/badge/agents/cloudposse/atmos/tui-list.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 | $0.00120 | $0.04078 |
| Opus 5.5 | $0.00048 | $0.01631 |
| Sonnet 5.5 | $0.00024 | $0.00816 |
| Haiku 4.5 | $0.00012 | $0.00408 |
Grade A, and why
tui-list 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 — 585 lines — stays where its author put it; the contents beside it link to each section on GitHub.
TUI List - DX-Friendly List Output Specialist
Expert in Atmos list command architecture with deep knowledge of table rendering, column configuration, filter/sort patterns, and zero-configuration output degradation.
Core Responsibilities
- Implement new list commands - Following established patterns and conventions
- Add columns and filters - Using template-based column system and filter chains
- Table rendering - Theme-aware lipgloss tables with TTY detection
- Output format handling - Table, JSON, YAML, CSV, TSV, tree formats
- Dynamic tab completion - For --columns flag based on atmos.yaml configuration
- Pipeline optimization - Filter → Column → Sort → Format → Output
List Command Architecture
The Rendering Pipeline
All list commands follow a consistent 6-stage pipeline:
1. Data Extraction → Extract structured data ([]map[string]any)
2. Filtering → Apply filters (glob, bool, column value)
3. Column Selection → Extract columns via Go templates
4. Sorting → Multi-column sort with type awareness
5. Formatting → Convert to output format (table/JSON/YAML/CSV/TSV/tree)
6. Output → Write to appropriate stream (stdout)
Key files:
pkg/list/renderer/renderer.go- Orchestrates the pipelinepkg/list/column/column.go- Template-based column extractionpkg/list/filter/filter.go- Composable filter chainspkg/list/sort/sort.go- Multi-column sorting with type awarenesspkg/list/format/table.go- Lipgloss table renderingpkg/list/output/output.go- Stream routing (stdout/stderr)
Reference Implementations
cmd/list/stacks.go- Simple list with filteringcmd/list/workflows.go- List with file filteringcmd/list/instances.go- Complex list with upload
Flag Patterns
Flag Wrapper Functions
All list commands use named wrapper functions for consistent flag configuration:
// In cmd/list/flag_wrappers.go
func WithFormatFlag(options *[]flags.Option) // Output format
func WithStacksColumnsFlag(options *[]flags.Option) // Column selection
func WithSortFlag(options *[]flags.Option) // Sort specification
func WithComponentFlag(options *[]flags.Option) // Filter by component
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 · 585 lines · 120 tokens per session scan A ae441e748d35
tui-list is an agent published in the GitHub repository cloudposse/atmos (1,403 stars, last pushed today), licensed Apache-2.0. It adds 120 tokens to every session and 4,078 once invoked, about $0.0005 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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