# Rom1504 Term Wrapper Skill

> Term Wrapper

- Skill: `tomevault-io/rom1504-term-wrapper-skill` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/rom1504-term-wrapper-skill`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/rom1504-term-wrapper-skill/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/rom1504-term-wrapper-skill

---


# Term Wrapper

Run any terminal application through the term-wrapper HTTP API or CLI commands. This enables programmatic control of TUI applications, automated CLI workflows, and interactive terminal sessions.

## ⚠️ IMPORTANT: Approach Priority

**ALWAYS use this priority order:**

1. **CLI Subcommands (FIRST CHOICE)** - Use `term-wrapper` commands
   - Simplest approach, works directly from bash
   - All examples below show CLI commands
   - **Use this unless it truly doesn't work**

2. **Python Client Library (SECOND CHOICE)** - Only if CLI fails or is insufficient
   - Use `from term_wrapper.cli import TerminalClient`
   - See "Alternative: Python Client Library" section below
   - Only use if CLI commands don't meet your needs

3. **Direct HTTP API (LAST RESORT)** - Only if both CLI and Python fail
   - Use curl with REST endpoints
   - See "Core API Operations (Low-Level HTTP)" section below
   - Most complex approach, avoid unless necessary

**Default to CLI commands. Only escalate to Python or HTTP if you encounter errors.**

## Recommended Approach: CLI Subcommands

**The easiest way to use term-wrapper is via CLI subcommands.** This requires no Python code and works directly from bash/shell scripts.

**Auto-Start**: The backend server starts automatically when you run any `term-wrapper` command. No need to manually start a server! The server picks an available port and saves it to `~/.term-wrapper/port`.

**Note**: In development environments using uv, prefix all commands with `uv run`, e.g., `uv run term-wrapper --help`. After pip install, use `term-wrapper` directly.

### Quick Example: Automate Claude Code

```bash
#!/bin/bash
# Create Claude session and make it create a file

# Create session
SESSION=$(term-wrapper create bash -c "cd /tmp && claude" | \
          python3 -c "import sys, json; print(json.load(sys.stdin)['session_id'])")

# Wait for and accept trust prompt
term-wrapper wait-text $SESSION "Do you trust" --timeout 10
term-wrapper send $SESSION "\r"

# Wait for main UI
term-wrapper wait-text $SESSION "Welcome" --timeout 10

# Submit request
term-wrapper send $SESSION "create hello.py\r"

# Wait a bit and check for approval UI
sleep 5
TEXT=$(term-wrapper get-text $SESSION)
if echo "$TEXT" | grep -qi "esc to cancel"; then
    sleep 2
    term-wrapper send $SESSION "\r"  # Approve
fi

# Cleanup
term-wrapper delete $SESSION
```

### Available CLI Subcommands

```bash
# Session Management
term-wrapper create [--rows N] [--cols N] COMMAND...
term-wrapper list
term-wrapper info SESSION_ID
term-wrapper delete SESSION_ID

# Input/Output
term-wrapper send SESSION_ID TEXT           # Supports \n, \r, \t, \x1b
term-wrapper get-text SESSION_ID            # Clean text (ANSI stripped)
term-wrapper get-output SESSION_ID          # Raw output with ANSI
term-wrapper get-screen SESSION_ID          # 2D screen buffer (JSON)

# Waiting Primitives
term-wrapper wait-text SESSION_ID TEXT [--timeout SECS]
term-wrapper wait-quiet SESSION_ID [--duration SECS]

# Interactive
term-wrapper attach SESSION_ID              # WebSocket interactive mode
term-wrapper web SESSION_ID                 # Open session in browser

# Server Management
term-wrapper stop                           # Stop the background server
```

**When to use CLI vs Python:**
- Use **CLI subcommands** for simple automation, bash scripts, one-off tasks
- Use **Python client** for complex logic, conditional flows, error handling

## Alternative: Python Client Library

For more complex interactions, use the Python client with high-level primitives:

```python
from term_wrapper.cli import TerminalClient

client = TerminalClient()
session_id = client.create_session(command=["bash"], rows=40, cols=120)

# High-level primitives
client.wait_for_text(session_id, "Welcome", timeout=10)
client.write_input(session_id, "ls -la\r")
text = client.get_text(session_id)  # Clean text
client.wait_for_quiet(session_id, duration=2)  # Wait for stability

client.delete_session(session_id)
client.close()
```

## Core API Operations (Low-Level HTTP)

### 1. Check Server Health
```bash
curl -s http://localhost:8000/health
```
Returns: `{"status":"healthy"}` if running

### 2. Create Terminal Session
```bash
curl -X POST http://localhost:8000/sessions \
  -H "Content-Type: application/json" \
  -d '{
    "command": ["COMMAND", "arg1", "arg2"],
    "rows": 40,
    "cols": 150,
    "env": {
      "TERM": "xterm-256color",
      "COLORTERM": "truecolor"
    }
  }'
```
Returns: `{"session_id": "uuid-here"}`

### 3. Get Terminal Output
```bash
curl http://localhost:8000/sessions/{session_id}/output
```
Returns: `{"output": "terminal output with ANSI codes"}`

### 4. Send Input to Terminal
```bash
curl -X POST http://localhost:8000/sessions/{session_id}/input \
  -H "Content-Type: application/json" \
  -d '{"data": "text or escape sequence"}'
```

Common escape sequences:
- Arrow keys: `\x1b[A` (up), `\x1b[B` (down), `\x1b[C` (right), `\x1b[D` (left)
- Enter: `\n`
- Escape: `\x1b`
- Function keys: `\x1bOP` (F1), `\x1bOQ` (F2), etc.

### 5. Delete Session (Cleanup)
```bash
curl -X DELETE http://localhost:8000/sessions/{session_id}
```

## Complete Workflow Example

### Example 1: Get Top 5 Memory Processes with htop

**Problem**: htop uses complex ANSI escape sequences and cursor positioning.
**Solution**: Use the CLI with `get-screen` to get parsed 2D screen buffer, then parse it.

```bash
#!/bin/bash
# Get top memory processes from htop using CLI

# Create htop session sorted by memory
SESSION=$(term-wrapper create --rows 40 --cols 150 htop -C --sort-key=PERCENT_MEM | \
          python3 -c "import sys, json; print(json.load(sys.stdin)['session_id'])")

# Wait for htop to render
sleep 2.5

# Get parsed screen buffer (clean 2D text array, no ANSI codes)
term-wrapper get-screen $SESSION

# The output is JSON with 'lines' array - parse it to extract process info
# Look for the header line containing "PID" and "MEM%", then parse subsequent lines

# Cleanup when done
term-wrapper delete $SESSION
```

### Example 2: Create and Edit File with vim

**Use case**: Create a Python file with vim, then edit it to add more code.

```bash
#!/bin/bash
# Create and edit a Python file with vim using CLI

# Step 1: Create /tmp/thepi.py with vim
SESSION=$(term-wrapper create vim /tmp/thepi.py | \
          python3 -c "import sys, json; print(json.load(sys.stdin)['session_id'])")
sleep 1

# Enter insert mode and write code
term-wrapper send $SESSION "i"
sleep 0.3

# Type the code (note: \n for newlines)
term-wrapper send $SESSION "import math\\n\\n# Compute pi\\npi = math.pi\\nprint(f\\\"Pi = {pi}\\\")\\n"
sleep 0.5

# Exit insert mode (ESC), save and quit
term-wrapper send $SESSION "\x1b"
sleep 0.3
term-wrapper send $SESSION ":wq\r"
sleep 0.5
term-wrapper delete $SESSION

# Step 2: Edit the file to add exp(1)
SESSION=$(term-wrapper create vim /tmp/thepi.py | \
          python3 -c "import sys, json; print(json.load(sys.stdin)['session_id'])")
sleep 1

# Go to end of file (G), open new line (o)
term-wrapper send $SESSION "G"
sleep 0.3
term-wrapper send $SESSION "o"
sleep 0.3

# Add exp(1) code
term-wrapper send $SESSION "\\n# Compute e (Euler's number)\\ne = math.exp(1)\\nprint(f\\\"e = {e}\\\")\\n"
sleep 0.5

# Exit insert mode, save and quit
term-wrapper send $SESSION "\x1b"
sleep 0.3
term-wrapper send $SESSION ":wq\r"
sleep 0.5
term-wrapper delete $SESSION

# Result: /tmp/thepi.py now computes both pi and e
cat /tmp/thepi.py
```

### Example 3: Interactive Claude CLI

**Use case**: Use Claude CLI interactively through term-wrapper to write and execute code.

This is the same example shown at the top of this document. See "Quick Example: Automate Claude Code" above for the complete CLI implementation.

**Key Requirements for Interactive Mode:**

1. **Use output polling** - Use `wait-text` or `wait-quiet` CLI commands instead of fixed sleeps.
2. **Wait for UI stability** - After detecting UI elements with `wait-text`, add 1-3 second sleep before sending input.
3. **Handle multiple prompts** - Trust prompt → Request submission → Code approval.
4. **Poll for completion** - Use `wait-quiet` to detect when output stabilizes, or check filesystem.

**Why Interactive Mode Works:**

Term-wrapper's PTY implementation provides:
- `isTTY: true` for all streams
- Working `setRawMode()` function
- Proper terminal attributes for Ink's `useInput` hook

The raw mode support added to `terminal.py` enables Ink-based applications like Claude Code to receive keyboard input properly.

**Full Example:** See `examples/claude_interactive.py` for a complete, production-ready Python implementation, or use the CLI commands shown in "Quick Example: Automate Claude Code" above for shell scripts.

## Parsing Output

### ANSI Escape Sequence Removal

Terminal output contains ANSI escape codes for colors, cursor movement, etc. Strip them before parsing:

```python
import re

def strip_ansi(text):
    ansi_pattern = re.compile(r'\x1b[@-_][0-?]*[ -/]*[@-~]')
    return ansi_pattern.sub('', text)
```

### Best Practices for Output Parsing

1. **Use simpler commands when possible**: `ps`, `ls`, `grep` are easier to parse than `htop`, `top`
2. **Format output explicitly**: Use command flags like `--no-colors`, `--format`, etc.
3. **Wrap in bash**: Use `bash -c "command | head -n 10"` to limit output
4. **Add sleep**: For quick commands, add `; sleep 2` to keep session alive while fetching output

## Starting the Server

If server isn't running:

```bash
cd /path/to/term_wrapper
nohup uv run python main.py > /tmp/term-wrapper.log 2>&1 &
sleep 3
curl -s http://localhost:8000/health  # Verify it started
```

## Common Patterns

### Pattern 1: Run Command and Parse Output
For non-interactive commands that exit immediately:
```python
# Wrap in bash with sleep to keep session alive
command = ["bash", "-c", "your_command; sleep 3"]
```

### Pattern 2: Interactive Application Control
For TUI apps that stay running:
1. Create session with the TUI app
2. Wait for initialization (1-2 seconds)
3. Send keyboard commands as needed
4. Fetch output periodically
5. Send 'q' or exit command
6. Delete session

### Pattern 3: File Editing
For vim/nano:
1. Create session with editor and filename
2. Send mode changes (i for insert in vim)
3. Send text content
4. Send save/quit sequence
5. Verify file was written
6. Delete session

## Error Handling

- **Session not found**: Session may have exited. Check `GET /sessions/{id}` for `alive: false`
- **Empty output**: Command may not have run yet. Wait longer or check session status
- **Garbled output**: ANSI codes not stripped. Use the strip_ansi function
- **Server not running**: Start with `uv run python main.py` in project directory

## Summary

This skill enables full programmatic control of any terminal application through CLI commands or HTTP APIs. Key points:

- **Prefer CLI subcommands** for simplicity and shell scripting
- Use `get-screen` for complex TUI apps to get clean parsed text
- Use `wait-text` and `wait-quiet` instead of fixed sleeps
- Always cleanup sessions with `delete` when done
- CLI handles escape sequences: `\n`, `\r`, `\t`, `\x1b`

The term-wrapper API bridges the gap between modern HTTP/REST interfaces and traditional terminal applications, making them accessible to AI assistants and automation tools.

---
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<!-- tomevault:4.0:skill_md:2026-04-11 -->