Agent skill

Vellum Terminal Sessions

by vellum-ai in vellum-ai/vellum-assistant

Manage persistent tmux terminal sessions: create, read, write to, list, and close named shell sessions.

MITAuto-check passed

Install Vellum Terminal Sessions

skills CLI
$ npx skills add vellum-ai/vellum-assistant --skill vellum-terminal-sessions -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install vellum-ai/vellum-assistant vellum-terminal-sessions --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vellum-terminal-sessions .claude/skills/vellum-terminal-sessions && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
vellum-terminal-sessions
GitHub stars
1.4k
Token cost
~704 tokens
SKILL.md length
144 words
Files
6 (incl. scripts, references)
Skills in repo
108
Repo updated
First seen
Licence
MIT

At a glance

Manage persistent tmux terminal sessions: create, read, write to, list, and close named shell sessions.

  • SKILL.md covers Overview, Prerequisites and Workflow: Orchestrating…
  • Runs Shell scripts from its folder

What it does

Vellum Terminal Sessions is an agent skill from vellum-ai/vellum-assistant. Manage persistent tmux terminal sessions: create, read, write to, list, and close named shell sessions. For Claude Code or Codex, use the ACP skill instead.

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/host-sessions.md`, `references/sandbox-sessions.md` and `references/tmux-best-practices.md`). Compatibility notes: Sandbox mode works without any host dependencies. Host mode requires tmux installed on the user's machine. Works on macOS and Linux.

It works with tmux. The repository describes itself as: An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time. The licence is MIT.

Example prompts

  • “/vellum-terminal-sessions”

Requirements

  • A Bash shell
  • Compatibility (from SKILL.md): Sandbox mode works without any host dependencies. Host mode requires tmux installed on the user's machine. Works on macOS and Linux.

What it can do on your machine

Read from SKILL.md and the folder at commit 33cc983. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Shell), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Sandbox mode works without any host dependencies. Host mode requires tmux installed on the user's machine. Works on macOS and Linux.

    From compatibility in the SKILL.md frontmatter.

Context cost

Vellum Terminal Sessions loads about 704 tokens when it runs, and up to ~3.3k if it reads all its reference files. Until then it costs about 45 tokens; SKILL.md has 144 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~45
When it runs · the whole SKILL.md, loaded when a task matches
~704
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from vellum-ai/vellum-assistant at commit 33cc983, republished under its MIT licence (© vellum-ai). 144 words, ~704 tokens.

Download SKILL.mdSave it as .claude/skills/vellum-terminal-sessions/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
vellum-terminal-sessions
description
Manage persistent tmux terminal sessions: create, read, write to, list, and close named shell sessions. For Claude Code or Codex, use the ACP skill instead.
compatibility
Sandbox mode works without any host dependencies. Host mode requires tmux installed on the user's machine. Works on macOS and Linux.
metadata.emoji
🖥️
metadata.author
vellum-ai
metadata.version
0.2

Overview

This skill manages persistent terminal sessions via tmux. Two modes:

Sandbox ModeHost Mode
Where tmux runsIn the assistant's sandboxOn the user's host machine
How user connectsvellum terminal attach <session-name>User opens their own terminal
Assistant accessDirect (bash tool)Via host_bash
Best forLong-running builds, servers, always-on tasksWork needing host access (e.g. SwiftUI builds, host-local services)

Default: Use Sandbox Mode unless the task specifically requires host access. Details: sandbox-sessions.md · host-sessions.md · tmux-best-practices.md

Prerequisites

Sandbox Mode: No setup needed — tmux is available in the sandbox.

Host Mode: Requires tmux on the host — see host-sessions.md.

Workflow: Orchestrating Multiple Sessions

  • List all sessions: tmux list-sessions to get names and current commands
  • Read each: tmux capture-pane -t NAME -p -S -50 (30-50 lines is usually enough)
  • Summarize before acting: "Build done, tests at 73%, deploy waiting for confirmation"
  • Act on the user's instructions

© vellum-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/vellum-terminal-sessions of vellum-ai/vellum-assistant.

  • SKILL.md
  • references/host-sessions.md
  • references/sandbox-sessions.md
  • references/tmux-best-practices.md
  • scripts/setup-auto-tmux.sh
  • scripts/tt

Open the folder on GitHubat commit 33cc983

Compare with similar skills

Vellum Terminal Sessions next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Vellum Terminal Sessions compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Vellum Terminal Sessions this skillvellum-ai/vellum-assistant1.4k—~704Automated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.9k14 repos~656Automated safety check: PassApache-2.0
CodeGraph Agent Evalcolbymchenry/codegraph74k—~950Automated safety check: PassMIT
Tmuxtrpc-group/trpc-agent-go1.9k23 repos~868Automated safety check: PassApache-2.0
CodexBar Live QAsteipete/CodexBar22k—~1.2kAutomated safety check: PassMIT
Tmuxopenclaw/openclaw392k1 repos~640Automated safety check: PassMIT

Similar skills

  • 1password

    trpc-group/trpc-agent-go

    Set up and use 1Password CLI (op). An agent skill from trpc-group/trpc-agent-go.

    1.9k GitHub starsUsed in 14 repos~656 tokens
    AI & LLM EngineeringAuto-check passed
  • CodeGraph Agent Eval

    colbymchenry/codegraph

    Benchmarks how much CodeGraph helps a coding agent on a real repository, comparing runs with and without it for a chosen local or published version.

    74k GitHub stars~950 tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Tmux

    trpc-group/trpc-agent-go

    Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.

    1.9k GitHub starsUsed in 23 repos~868 tokens
    Data & AnalyticsAuto-check passed
  • CodexBar Live QA

    steipete/CodexBar

    Runs live QA for the CodexBar app: provider usage matrix checks through its packaged CLI, config validation and menu checks, with 1Password-backed credentials handled safely.

    22k GitHub stars~1.2k tokensUpdated today
    Testing & QAAuto-check passed
  • Tmux

    openclaw/openclaw

    Control tmux sessions/panes for interactive CLIs: list, capture output, send keys, paste text, monitor prompts.

    392k GitHub starsUsed in 1 repo~640 tokens
    Auto-check passed
  • Reproduces a feature from Codex or Claude Code in Qwen Code by running the reference agent under capture, reading the traces, then implementing matching behavior.

    28k GitHub stars~1.5k tokensUpdated today
    DevelopmentAuto-check passed

More from vellum-ai/vellum-assistant

All 108 skills in this repo
  • Vellum GitHub App Setup

    vellum-ai/vellum-assistant

    Create and configure a GitHub App so the assistant can push commits, open PRs, and comment under its own bot identity.

    1.4k GitHub stars~3.1k tokensUpdated 2 days ago
    Auto-check passed
  • Discord App Setup

    vellum-ai/vellum-assistant

    Connect a Discord bot to the assistant via the Discord Gateway with guided application creation and intent configuration

    1.4k GitHub stars~4.2k tokensUpdated 2 days ago
    Auto-check passed
  • Sentry App Setup

    vellum-ai/vellum-assistant

    Create and configure a Sentry internal integration so the assistant can manage issues, alerts, and releases under its own identity

    1.4k GitHub stars~1.3k tokensUpdated 2 days ago
    Auto-check passed
  • Memory Corpus Ingest

    vellum-ai/vellum-assistant

    Ingest a large dataset into memory as a skimmed map. An agent skill from vellum-ai/vellum-assistant.

    1.4k GitHub stars~3k tokensUpdated 2 days ago
    Auto-check: notes
  • Plugin Builder

    vellum-ai/vellum-assistant

    A skill your agent uses when the user wants to build, scaffold, ship, or edit a Vellum plugin that bundles multiple surfaces (hooks, tools, skills, and more) into one installable package.

    1.4k GitHub stars~3.1k tokensUpdated 2 days ago
    Auto-check passed
  • Slack App Setup

    vellum-ai/vellum-assistant

    Connect a Slack app to the Vellum Assistant via Socket Mode.

    1.4k GitHub stars~2.5k tokensUpdated 2 days ago
    Auto-check: warnings

Works with

Questions about Vellum Terminal Sessions

What does Vellum Terminal Sessions do?

Manage persistent tmux terminal sessions: create, read, write to, list, and close named shell sessions. Vellum Terminal Sessions is an agent skill from vellum-ai/vellum-assistant. Manage persistent tmux terminal sessions: create, read, write to, list, and close named shell sessions.

How do I install Vellum Terminal Sessions in Claude Code?

Run `npx skills add vellum-ai/vellum-assistant --skill vellum-terminal-sessions -a claude-code`. Or copy the skill folder (skills/vellum-terminal-sessions in vellum-ai/vellum-assistant) into .claude/skills/vellum-terminal-sessions in your project. Claude Code loads it when a task matches its description.

How do I install Vellum Terminal Sessions in Codex?

Run `npx skills add vellum-ai/vellum-assistant --skill vellum-terminal-sessions -a codex`. Or copy the skill folder (skills/vellum-terminal-sessions in vellum-ai/vellum-assistant) into .agents/skills/vellum-terminal-sessions in your project. Codex loads it when a task matches its description.

Can I use Vellum Terminal Sessions in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vellum-ai/vellum-assistant --skill vellum-terminal-sessions -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vellum-terminal-sessions, .gemini/skills/vellum-terminal-sessions, .github/skills/vellum-terminal-sessions and .opencode/skills/vellum-terminal-sessions in your project.

What does Vellum Terminal Sessions need to run?

Going by SKILL.md and its folder, Vellum Terminal Sessions needs a shell for the scripts in its folder. Our summary lists: A Bash shell. Compatibility (from SKILL.md): Sandbox mode works without any host dependencies. Host mode requires tmux installed on the user's machine. Works on macOS and Linux..

Does Vellum Terminal Sessions access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Vellum Terminal Sessions safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Vellum Terminal Sessions use?

Vellum Terminal Sessions is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Vellum Terminal Sessions use?

About 704 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.

What are the alternatives to Vellum Terminal Sessions?

Skills that share tags, products or a category with Vellum Terminal Sessions: 1password (trpc-group/trpc-agent-go, 1.9k stars), CodeGraph Agent Eval (colbymchenry/codegraph, 74k stars), Tmux (trpc-group/trpc-agent-go, 1.9k stars) and CodexBar Live QA (steipete/CodexBar, 22k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Vellum Terminal Sessions?

vellum-ai (a GitHub organization) maintains it in vellum-ai/vellum-assistant, which has 1,408 GitHub stars. The repository holds 108 skills in this directory. The repository was last updated on October 9, 2026.

Source: vellum-ai/vellum-assistant on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.