MCPInstall

control-cli

Build or adapt a local harness to drive, inspect, and profile an interactive CLI or TUI without external services. Use for CLI UX checks, startup regressions, memory leaks, hangs, prompt flows, or terminal demos.

Installs
2.4K
Last 24h
+11
Trending rank
#8298
Security
Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/cursor/plugins --skill control-cli
  1. 01

    Install

    Run the command in your project. The CLI asks which agents to install for.

  2. 02

    Describe the task

    Ask your agent for something this skill covers. It loads control-cli automatically when relevant.

  3. 03

    Review the result

    The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Control CLI

Use a repeatable local harness to exercise an interactive CLI instead of poking at it manually. First reuse the repo's own test/demo harness if it exists; otherwise assemble a temporary harness from standard local tools.

What It Is Used For

  • Reproducing CLI/TUI bugs with deterministic input.
  • Verifying keyboard flows, prompts, interrupts, resize behavior, and terminal layout.
  • Capturing before/after transcripts for bug fixes.
  • Profiling startup time, slow operations, hangs, or memory growth.
  • Recording a short terminal demo when output is easier to show than explain.

Harness Loop

  1. Identify the command under test and the smallest reproducible workspace.
  2. Discover existing local harnesses: package scripts, e2e tests, demo recorders, expect scripts, or PTY helpers.
  3. If no harness exists, launch the CLI in an isolated terminal session with deterministic env vars.
  4. Capture the current screen before interacting.
  5. Send one action at a time: text, Enter, arrows, Escape, Ctrl-C, resize.
  6. Wait for a concrete screen pattern or prompt before the next action.
  7. Save the transcript and any profile artifacts.
  8. Kill the session cleanly.

Harness Options

  • Repo-native harness: prefer checked-in scripts because they know the app's startup, env, and prompts.
  • tmux: managed sessions, capture-pane, send-keys, attach/detach.
  • PTY probe: use a short Python, Node, or Expect script when tmux is unavailable.
  • Runtime inspector: use Node or Bun inspector for CPU profiles, heap snapshots, and live evaluation.
  • Terminal recorder: use repo-local demo tools or asciinema-compatible tools when the user asks for a demo.

Minimal tmux Harness

SESSION="cli-harness-$(date +%s)"
tmux new-session -d -s "$SESSION" -- <command-under-test>
tmux capture-pane -pt "$SESSION"
tmux send-keys -t "$SESSION" "help" Enter
tmux capture-pane -pt "$SESSION"
tmux kill-session -t "$SESSION"

For Node CLIs:

NODE_OPTIONS="--inspect=127.0.0.1:0" tmux new-session -d -s "$SESSION" -- <node-cli-command>

Read the terminal output to find the inspector URL, then use Chrome DevTools-compatible tooling if profiling is needed.

Minimal PTY Harness

Use a PTY script when you need deterministic waits in a repo that does not have tmux or a demo harness. Keep it temporary unless the user asks to add a reusable test.

import os
import pty
import select
import subprocess
import time

master_fd, slave_fd = pty.openpty()
proc = subprocess.Popen(
    ["<command>", "<arg>"],
    stdin=slave_fd,
    stdout=slave_fd,
    stderr=slave_fd,
    close_fds=True,
)
os.close(slave_fd)

deadline = time.time() + 30
buffer = b""
while time.time() < deadline:
    ready, _, _ = select.select([master_fd], [], [], 0.25)
    if not ready:
        continue
    chunk = os.read(master_fd, 4096)
    buffer += chunk
    if b"<ready text>" in buffer:
        os.write(master_fd, b"help\n")
        break

print(buffer.decode(errors="replace"))
proc.terminate()
os.close(master_fd)

If the CLI needs richer terminal control, use pty.fork() or an existing PTY library.

Profiling Recipes

  • Startup regression: capture baseline and treatment startup timings under the same machine, env, and command.
  • Slow operation: start a CPU profile, perform the operation, stop the profile, and compare top self-time functions.
  • Memory leak: force GC if available, take a heap snapshot, perform the operation repeatedly, force GC again, and take another snapshot.
  • Hang: capture the screen, active handles/resources, and a stack/CPU sample before interrupting.

Guardrails

  • Prefer deterministic waits over sleeps. If you must sleep, explain why.
  • Do not send credentials or destructive commands into a controlled session.
  • Keep the harness in /tmp unless the repo already has a testing/demo harness.
  • Do not hard-code paths from another repository. Adapt commands to the current repo's scripts and runtime.
  • Clean up tmux sessions, temp dirs, inspector processes, and demo artifacts unless the user asks to keep them.

FAQ

What does the control-cli skill do?

Build or adapt a local harness to drive, inspect, and profile an interactive CLI or TUI without external services. Use for CLI UX checks, startup regressions, memory leaks, hangs, prompt flows, or terminal demos.

How do I install control-cli?

Run npx skills add https://github.com/cursor/plugins --skill control-cli in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/control-cli/ (personal) or .claude/skills/control-cli/ (project).

Which AI agents can use control-cli?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is control-cli safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains control-cli?

It is published by cursor in cursor/plugins. It has 2,425 recorded installs.

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