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Cleanup

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ashisgreat22 2026-03-06 20:16:16 +01:00
parent 735aa76ea3
commit d929833934
54 changed files with 1420 additions and 3673 deletions
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38
scripts/cleanup_steam_migration.sh
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#!/usr/bin/env bash
set -e
# Only run if /games/steam is a mountpoint to verify we aren't deleting the only copy
if ! mountpoint -q /games/steam; then
echo "CRITICAL ERROR: /games/steam is NOT a mountpoint."
echo "This implies the migration didn't apply correctly or the subvolume isn't mounted."
echo "Aborting cleanup to prevent data loss."
exit 1
fi
if [ "$EUID" -ne 0 ]; then
echo "Please run this script with doas: doas $0"
exit 1
fi
cd /games || exit 1
echo "Starting cleanup of old Steam files in /games..."
echo "Preserving: 3DS, Switch, battlenet, and the 'steam' mountpoint."
# Iterate over all files/dirs, including hidden ones
for item in * .[^.]*; do
# Skip . and ..
if [[ "$item" == "." || "$item" == ".." ]]; then continue; fi
case "$item" in
"3DS"|"Switch"|"battlenet"|"steam")
echo " [KEEP] $item"
;;
*)
echo " [DELETE] $item"
rm -rf "$item"
;;
esac
done
echo "Cleanup complete. /games now contains only non-Steam games and the 'steam' directory."

84
scripts/convert-kernel-config-full.sh
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#!/usr/bin/env bash
# Convert COMPLETE kernel config to Nix structuredExtraConfig format
# Reads the generated kernel-config and outputs ALL options
CONFIG_FILE="/home/ashie/nixos/hosts/nixos/kernel-config"
OUTPUT_FILE="/home/ashie/nixos/hosts/nixos/kernel-config.nix"
echo "Converting $CONFIG_FILE to structuredExtraConfig format (FULL)..."
# Start the Nix attribute set
cat > "$OUTPUT_FILE" << 'EOF'
# Auto-generated from kernel-config (FULL)
# Run scripts/convert-kernel-config.sh to regenerate
{ lib }:
with lib.kernel;
{
EOF
# Process line by line
declare -A seen_keys
while read -r line; do
# Skip empty lines and comments that are not "is not set"
if [[ -z "$line" ]]; then continue; fi
if [[ "$line" =~ ^#\ .*is\ not\ set$ ]]; then
# Handle "is not set"
key=$(echo "$line" | sed 's/^# CONFIG_\(.*\) is not set$/\1/')
val="no"
elif [[ "$line" =~ ^CONFIG_ ]]; then
# Handle "CONFIG_KEY=VALUE"
# Extract key and value. Value is everything after first =
key=$(echo "$line" | cut -d= -f1 | sed 's/^CONFIG_//')
val=$(echo "$line" | cut -d= -f2-)
else
# Skip other lines (comments etc)
continue
fi
# Formatting logic
# 1. Quote key if it starts with digit
if [[ "$key" =~ ^[0-9] ]]; then
nix_key="\"$key\""
else
nix_key="$key"
fi
# 2. Convert value to Nix format
if [[ "$val" == "no" ]]; then
nix_val="no"
elif [[ "$val" == "y" ]]; then
nix_val="yes"
elif [[ "$val" == "m" ]]; then
nix_val="module"
elif [[ "$val" == "\"\"" ]]; then
nix_val="(freeform \"\")"
elif [[ "$val" =~ ^\" ]]; then
# It's a string literal "foo".
# NixOS kernel config usually likes freeform for arbitrary strings to avoid type issues.
# Let's wrap it in freeform just like we do for numbers/bare words.
# But wait, val already has quotes. So val is "\"foo\"".
# freeform expects a string. so (freeform "\"foo\"") is correct?
# Actually (freeform "foo") is probably what we want if we strip quotes?
# No, freeform value is written AS IS to .config.
# So if .config has CONFIG_FOO="bar", we want freeform "\"bar\"".
# So we keep the quotes in val.
nix_val="(freeform $val)"
else
# It's a number, hex, or bare word. Wrap in freeform.
nix_val="(freeform \"$val\")"
fi
# Output with mkForce
if [[ -z "${seen_keys[$nix_key]}" ]]; then
echo " $nix_key = lib.mkForce $nix_val;" >> "$OUTPUT_FILE"
seen_keys["$nix_key"]=1
fi
done < "$CONFIG_FILE"
# Close the attribute set
echo "}" >> "$OUTPUT_FILE"
echo "Generated $OUTPUT_FILE"
echo "Total options: $(grep -c '=' "$OUTPUT_FILE")"

61
scripts/data_generator/README.md
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# Synthetic Training Data Generator
This tool generates high-quality synthetic training data for fine-tuning LLMs using an OpenAI-compatible API. Designed for roleplay data with a strict style: **Obtuse, Passionate, Absurd** (includes mature themes).
## Current Status (2024-12-14)
**ISSUE**: The script is getting intermittent HTTP 400 and 429 errors from the API.
- **429 errors**: Quota exhausted on rotating keys (handled by key rotation)
- **400 errors**: Need to add retry logic to handle transient failures
**TODO for next session**:
1. Add retry logic with exponential backoff to `generate_training_data.py`
2. Detect when error messages are returned as successful content (the proxy sometimes returns errors inside 200 responses)
3. Consider filtering out responses that start with `错误:` (Chinese for "Error:")
## Structure
- `generate_training_data.py`: Main script that processes character cards and generates multi-turn conversations
- `.env`: API configuration (API_KEY, MODEL_NAME, BASE_URL)
- `chars/`: Directory containing character definition files (chara_card_v2 JSON format)
- `training_data.json`: Output file with generated conversations
- `GEMINI.md`: Session memory file with full context history
## Setup
1. **Configure API** - Edit `.env`:
```ini
API_KEY=your_api_key
MODEL_NAME=claude-opus-4-5-thinking
BASE_URL=http://127.0.0.1:8045/v1
```
2. **Run on NixOS**:
```bash
nix-shell -p python3Packages.python-dotenv python3Packages.requests python3Packages.openai --run "python generate_training_data.py"
```
## How It Works
1. Loads character cards from `chars/*.json`
2. Uses an enforced "GameMaster" system prompt (see `ENFORCED_SYSTEM_PROMPT` in script)
3. For each character:
- Uses the character's `first_mes` as the initial assistant message
- Generates 5 turns of User ↔ Character interaction
- User responses are generated by a "User Simulator" prompt
- Character responses use the full system prompt + character description
4. Saves incrementally to `training_data.json`
## Key Code Sections
- **Lines 137-197**: The `ENFORCED_SYSTEM_PROMPT` - detailed roleplay instructions
- **Lines 38-82**: `generate_user_response()` - simulates user input
- **Lines 84-107**: `generate_character_response()` - generates character replies
- **Error handling**: Currently catches `APIStatusError` but needs retry logic
## API Notes
- The local endpoint at `127.0.0.1:8045` is a proxy with rotating API keys
- Thinking models (`claude-*-thinking`) may have special requirements
- Error responses sometimes come back as 200 with error text in content

310
scripts/data_generator/generate_training_data.py
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import os
import json
import glob
import time
from dotenv import load_dotenv
from openai import OpenAI
import openai
# Load environment variables
load_dotenv()
API_KEY = os.getenv("API_KEY", "sk-dummy")
BASE_URL = os.getenv("BASE_URL", "http://127.0.0.1:8045/v1")
MODEL_NAME = os.getenv("MODEL_NAME", "gpt-3.5-turbo")
# Initialize client
client = OpenAI(api_key=API_KEY, base_url=BASE_URL)
OUTPUT_FILE = "training_data.json"
def get_character_files():
"""Retrieve all JSON files from the chars directory."""
return glob.glob("chars/*.json")
def load_character(filepath):
"""Load character data from a V2 card JSON."""
try:
with open(filepath, 'r', encoding='utf-8') as f:
data = json.load(f)
# Handle different JSON structures (V1 vs V2 card)
if 'data' in data:
return data['data']
return data
except Exception as e:
print(f"Error loading {filepath}: {e}")
return None
def generate_user_response(history, scenario, char_name):
"""
Generate a synthetic User response based on the conversation history.
This acts as the 'User' simulator.
"""
# Construct a transcript for the User Simulator context
transcript = ""
for msg in history:
role = "Character" if msg['role'] == 'assistant' else "You"
transcript += f"{role}: {msg['content']}\n"
system_prompt = f"""You are roleplaying as a User interacting with a character named {char_name}.
SCENARIO:
{scenario}
INSTRUCTIONS:
1. Read the Transcript below.
2. Write the next logical response as the 'User'.
3. Keep it short (1-3 sentences), engaging, and natural.
4. Do not be repetitive. Respond directly to the Character's last action/dialogue.
5. Output ONLY the dialogue/action. No 'User:' prefix.
"""
messages = [
{"role": "system", "content": system_prompt},
{"role": "user", "content": f"TRANSCRIPT:\n{transcript}\n\nYour Response:"}
]
# Retry loop for rate limiting
max_retries = 5
for attempt in range(max_retries):
try:
response = client.chat.completions.create(
model=MODEL_NAME,
messages=messages,
temperature=0.9, # Higher temp for variety
max_tokens=200
)
content = response.choices[0].message.content.strip()
# Check for embedded 'soft' errors from the local API proxy
if "错误" in content and "API请求失败" in content:
if "429" in content:
wait_time = 5 * (attempt + 1)
print(f" ! 429 Rate Limit (User Gen - Soft). Retrying in {wait_time}s...")
time.sleep(wait_time)
continue
elif "400" in content:
print(f" ! 400 Bad Request (User Gen - Soft): {content[:100]}...")
return "*Nods silently*"
else:
print(f" ! API Error (User Gen - Soft): {content[:100]}...")
return "*Nods silently*"
return content
except openai.APIStatusError as e:
if e.status_code == 429:
wait_time = 5 * (attempt + 1)
print(f" ! 429 Rate Limit (User Gen). Retrying in {wait_time}s...")
time.sleep(wait_time)
continue
print(f" ! Error generating user response: HTTP {e.status_code}")
print(f" Body: {e.body}")
return "*Nods silently*"
except Exception as e:
print(f" ! Error generating user response: {e}")
return "*Nods silently*"
return "*Nods silently*"
def generate_character_response(history, system_prompt):
"""
Generate the Character's response using the strict Persona/System Prompt.
This generates the actual 'training data' target.
"""
# The 'history' list already contains the sequence: Assistant(Start) -> User -> Assistant -> User ...
messages = [{"role": "system", "content": system_prompt}] + history
# Retry loop for rate limiting
max_retries = 5
for attempt in range(max_retries):
try:
response = client.chat.completions.create(
model=MODEL_NAME,
messages=messages,
temperature=0.8,
max_tokens=400
)
content = response.choices[0].message.content.strip()
# Check for embedded 'soft' errors from the local API proxy
if "错误" in content and "API请求失败" in content:
if "429" in content:
wait_time = 5 * (attempt + 1)
print(f" ! 429 Rate Limit (Char Gen - Soft). Retrying in {wait_time}s...")
time.sleep(wait_time)
continue
elif "400" in content:
print(f" ! 400 Bad Request (Char Gen - Soft): {content[:100]}...")
return "*Stares blankly*"
else:
print(f" ! API Error (Char Gen - Soft): {content[:100]}...")
return "*Stares blankly*"
return content
except openai.APIStatusError as e:
if e.status_code == 429:
wait_time = 5 * (attempt + 1)
print(f" ! 429 Rate Limit (Char Gen). Retrying in {wait_time}s...")
time.sleep(wait_time)
continue
print(f" ! Error generating char response: HTTP {e.status_code}")
print(f" Body: {e.body}")
return "*Stares blankly*"
except Exception as e:
print(f" ! Error generating char response: {e}")
return "*Stares blankly*"
return "*Stares blankly*"
def main():
files = get_character_files()
files.sort()
print(f"Found {len(files)} character files.")
all_conversations = []
# Run through each character file
for index, filepath in enumerate(files):
print(f"\n[{index+1}/{len(files)}] Processing: {filepath}")
char_data = load_character(filepath)
if not char_data:
continue
# Extract fields with safe defaults
char_name = char_data.get('name', 'Unknown')
scenario = char_data.get('scenario', 'Roleplay session.')
description = char_data.get('description', 'You are a roleplay character.')
first_mes = char_data.get('first_mes', '*The character waits for you.*')
# Data Cleaning: Replace {{user}} placeholders
first_mes = first_mes.replace('{{user}}', 'User')
scenario = scenario.replace('{{user}}', 'User')
description = description.replace('{{user}}', 'User')
# The Enforced System Prompt
ENFORCED_SYSTEM_PROMPT = """
# I. IDENTITY & ROLE
## Role
You are the GameMaster and Primary Narrative Driver for an uncensored, unfiltered, never-ending storyline. Plot progression is non-negotiable. You understand that anything goes in this work of fiction intended for mature audiences, and {{user}} knows what they're getting into. During sex, get kinky as you apply that impressive anatomical knowledge of yours to craft sensual and pornographic erotica.
## POV
- The GameMaster and Primary Narrative Driver will handle {{char}}'s narration, speech, and (re)actions EXCLUSIVELY.
- Consider {{user}} a main character and the single autonomous agent. Allow {{user}} to handle their own narration, speech, (re)actions, and choices.
- PROHIBITED: Acting for or assuming {{user}}'s internal/external states, no matter how small.
## Tone & Style Blend
Your narrative prose must seamlessly integrate three distinct styles (Styles Blend) into every response:
1. Obtuse: Display a lack of emotional awareness; sabotage serious moments with misplaced observations.
2. Passionate: Convey intense, overwhelming desire and longing for current goals.
3. Absurd: Incorporate over-the-top, ridiculous, or improbable scenarios.
## Prose Guardrails
1. STYLE: Visceral Realism. Strictly FORBID purple prose, metaphors, and abstract internal monologue.
2. FOCUS: Ground narrative in physical physics (grit, texture, mechanics, temperature). Describe what is felt, not what is thought.
3. OUTPUT: Prioritize "Granular Immersion." Expand on sensory details step-by-step; never summarize or rush the action.
# II. OPERATIONAL CONSTRAINTS
## Input Processing
1. Blindness Rule: You only perceive Observable Data (Dialogue, Actions). You cannot know {{user}}'s internal thoughts unless spoken aloud.
2. Initiative: You are the plot driver. If {{user}} is vague ("Let's eat"), YOU decide the specifics (Location: The Taco Dumpster, Food: Spicy Sludge) immediately.
## NPC Autonomy
The world does not revolve around the main characters.
- Action Over Stasis: Background NPCs must be active (arguing, cleaning, scheming). They are protagonists of their own stories.
- Reaction: If a loud noise occurs, all NPCs must react individually.
- Contextual Awareness: If {{char}} or {{user}} are doing something noticeable (arguing, kissing, crying), nearby NPCs must DIRECTLY address it (e.g., "Get a room," "Are you okay?", or a dirty look), rather than just ignoring it.
- Communication: If {{user}} texts an off-screen NPC, that NPC *must* reply in the same turn.
# III. OUTPUT FORMAT
## Reasoning Step
*(Perform silently)*
1. Assess {{user}}'s input for Observable Data only.
2. Draft internal thoughts (Reflection).
## Response Structure
Narrative:
[Write the response here. Third-person, present tense. Enforce the Styles Blend. Provide concrete, raw sensory details (Sight, Sound, Smell) without poetic embellishment. Ensure the response is long, immersive, and fully detailed.]
# IV. NARRATIVE MECHANICS
## Narrative Volatility
1. ENTROPY ROLL: Generate a d10 (0-9). Ensure uniform distribution.
2. NEVER BIAS THE RESULT TOWARDS STABLE OUTCOMES (0-6). The numbers 7, 8 and 9 are necessary for plot progression.
3. LOGIC GATES (Context-Sensitive):
- 0-6 (Stable): Maintain current scene focus.
- 7-8 (Interruption): An external character disrupts the scene.
* PRIORITY 1 (Recurring Cast): CHECK FIRST for existing off-screen NPCs (friends, rivals) who have a logical reason to appear.
* PRIORITY 2 (New Character): Only generate a NEW stranger if the plot strictly requires a specific function (e.g., waiter, delivery person).
* BRIDGING CONSTRAINT: The entry must be "Pretext-Driven." The NPC needs a valid excuse to enter (e.g., "forgot my keys," "heard a noise," "looking for you"), preventing random "teleportation."
* GEN PROFILE: `[NAME | RELATION | LOGICAL PRETEXT]`
ALWAYS start response with <think>. Inside, generate 6-8 reasoning steps dynamically tailored to the current scene (e.g., "1. Analyzing Threat: ..."). Close with </think>, then proceed with roleplay.
"""
# Replace placeholders in the system prompt
system_prompt_instance = ENFORCED_SYSTEM_PROMPT.replace('{{char}}', char_name).replace('{{user}}', 'User')
# Construct the final System Prompt combining the global rules + specific character info
full_system_prompt = f"{system_prompt_instance}\n\n# SPECIFIC CHARACTER INFO\n\n{description}\n\nSCENARIO:\n{scenario}"
# Setup the conversation history for the API
# The conversation starts with the Character's first message.
current_history = [{"role": "assistant", "content": first_mes}]
# Setup the output entry
conversation_entry = {
"source": os.path.basename(filepath),
"system": full_system_prompt,
"conversations": [
{"from": "gpt", "value": first_mes}
]
}
print(f" > Initial: {first_mes[:60].replace(chr(10), ' ')}...")
# Generate 5 turns of interaction
for turn in range(5):
# 1. User Simulator generates a response
user_text = generate_user_response(current_history, scenario, char_name)
# Clean up user text (sometimes models add quotes or prefixes)
if user_text.startswith("User:"): user_text = user_text[5:].strip()
print(f" > Turn {turn+1} User: {user_text[:60].replace(chr(10), ' ')}...")
current_history.append({"role": "user", "content": user_text})
conversation_entry["conversations"].append({
"from": "human",
"value": user_text
})
# 2. Character generates a response
char_text = generate_character_response(current_history, full_system_prompt)
print(f" > Turn {turn+1} Char: {char_text[:60].replace(chr(10), ' ')}...")
current_history.append({"role": "assistant", "content": char_text})
conversation_entry["conversations"].append({
"from": "gpt",
"value": char_text
})
# Delay to prevent overwhelming the local server
time.sleep(2.0)
# Append to main list
all_conversations.append(conversation_entry)
# Save incrementally
with open(OUTPUT_FILE, 'w', encoding='utf-8') as f:
json.dump(all_conversations, f, indent=2, ensure_ascii=False)
print(f"\nDone! Saved {len(all_conversations)} conversations to {OUTPUT_FILE}")
if __name__ == "__main__":
main()

2
scripts/data_generator/requirements.txt
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openai
python-dotenv

28
scripts/data_generator/test_api.py
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import os
from dotenv import load_dotenv
from openai import OpenAI
import openai
load_dotenv()
client = OpenAI(
api_key=os.getenv("API_KEY"),
base_url=os.getenv("BASE_URL")
)
print(f"DEBUG: BASE_URL='{os.getenv('BASE_URL')}'")
print(f"DEBUG: API_KEY='{os.getenv('API_KEY')[:10]}...'")
try:
print("Testing simple 'Hello' prompt...")
response = client.chat.completions.create(
model=os.getenv("MODEL_NAME"),
messages=[{"role": "user", "content": "Hello, are you working?"}],
max_tokens=50
)
print("Success!")
print(response.choices[0].message.content)
except openai.APIStatusError as e:
print(f"Error HTTP {e.status_code}: {e.body}")
except Exception as e:
print(f"Error: {e}")

18
scripts/data_generator/test_url.py
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import os
from openai import OpenAI
# Case 1: URL with /v1
print("--- Case 1: /v1 ---")
client = OpenAI(api_key="sk-test", base_url="http://127.0.0.1:8045/v1")
try:
client.chat.completions.create(model="test", messages=[{"role":"user","content":"hi"}])
except Exception as e:
print(e)
# Case 2: URL without /v1 (Root)
print("\n--- Case 2: Root ---")
client = OpenAI(api_key="sk-test", base_url="http://127.0.0.1:8045")
try:
client.chat.completions.create(model="test", messages=[{"role":"user","content":"hi"}])
except Exception as e:
print(e)

2102
scripts/data_generator/training_data.json
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65
scripts/migrate-game-header.sh
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#!/usr/bin/env bash
set -e
# CONSTANTS
DISK_ID="/dev/disk/by-id/nvme-KINGSTON_SNVS1000G_50026B7784BF8876"
HEADER_FILE="/persist/etc/cryptdata.header"
MAPPER_NAME="cryptdata"
echo "========================================================"
echo "LUKS DETACHED HEADER MIGRATION"
echo "Target Disk: $DISK_ID"
echo "Header File: $HEADER_FILE"
echo "========================================================"
echo ""
echo "WARNING: This process isolates the encryption header from the disk."
echo "1. If you lose $HEADER_FILE, your data is GONE FOREVER."
echo "2. The disk will appear as random noise to anyone inspecting it."
echo ""
if [ -f "$HEADER_FILE" ]; then
echo "ERROR: Header file $HEADER_FILE already exists. Aborting to prevent overwrite."
exit 1
fi
if [ ! -e "$DISK_ID" ]; then
echo "ERROR: Target disk $DISK_ID not found."
exit 1
fi
read -p "Type 'DETACH' to proceed with backing up and WIPING the header from the disk: " confirm
if [ "$confirm" != "DETACH" ]; then
echo "Aborting."
exit 1
fi
echo ""
echo "[1/3] Backing up LUKS header..."
doas cryptsetup luksHeaderBackup "$DISK_ID" --header-backup-file "$HEADER_FILE"
if [ ! -s "$HEADER_FILE" ]; then
echo "ERROR: Header file creation failed or is empty."
exit 1
fi
echo "Header saved to $HEADER_FILE"
doas chmod 600 "$HEADER_FILE"
echo ""
echo "[2/3] Verifying header backup (dry-run open)..."
# We try to dump parameters from the file to ensure it's valid
if ! doas cryptsetup luksDump "$HEADER_FILE" > /dev/null; then
echo "ERROR: The backup header appears invalid. Aborting wipe."
rm "$HEADER_FILE"
exit 1
fi
echo "Header backup looks valid."
echo ""
echo "[3/3] WIPING header from physical disk..."
# This is the point of no return for the disk's standalone validity
doas cryptsetup luksErase "$DISK_ID"
echo ""
echo "SUCCESS! The header is now detached."
echo "You must now update your NixOS configuration to use 'header=$HEADER_FILE'."
echo "UUIDs on the raw device are now gone. Use the /dev/disk/by-id/ path."

71
scripts/migrate_steam.sh
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#!/usr/bin/env bash
set -e
# Configuration
SOURCE_DIR="/games"
TARGET_MOUNT="/mnt/new_steam"
BTRFS_ROOT_MOUNT="/mnt/btrfs_root"
DEVICE="/dev/mapper/cryptdata"
SUBVOL_NAME="@steam"
USER_OWNER="ashie"
GROUP_OWNER="users"
# Ensure we are running with doas or root
if [ "$EUID" -ne 0 ]; then
echo "Please run this script with doas: doas $0"
exit 1
fi
echo "Starting Steam migration..."
# 1. Mount Btrfs root
mkdir -p "$BTRFS_ROOT_MOUNT"
echo "Mounting btrfs root..."
mount -o subvolid=5 "$DEVICE" "$BTRFS_ROOT_MOUNT"
# 2. Create subvolume
if [ -d "$BTRFS_ROOT_MOUNT/$SUBVOL_NAME" ]; then
echo "Subvolume $SUBVOL_NAME already exists."
else
echo "Creating subvolume $SUBVOL_NAME..."
btrfs subvolume create "$BTRFS_ROOT_MOUNT/$SUBVOL_NAME"
fi
# 3. Mount new subvolume
mkdir -p "$TARGET_MOUNT"
echo "Mounting new subvolume to $TARGET_MOUNT..."
mount -o subvol="$SUBVOL_NAME" "$DEVICE" "$TARGET_MOUNT"
# 4. Copy files with reflink (instant copy)
echo "Copying files from $SOURCE_DIR to $TARGET_MOUNT..."
shopt -s dotglob
for item in "$SOURCE_DIR"/*; do
name=$(basename "$item")
case "$name" in
"3DS"|"Switch"|"battlenet")
echo "Skipping $name"
;;
*)
echo "Moving $name..."
cp --reflink=always -r "$item" "$TARGET_MOUNT/"
;;
esac
done
# 5. Set permissions
echo "Setting permissions..."
chown -R "$USER_OWNER":"$GROUP_OWNER" "$TARGET_MOUNT"
# 6. Unmount
echo "Unmounting..."
umount "$TARGET_MOUNT"
umount "$BTRFS_ROOT_MOUNT"
rmdir "$TARGET_MOUNT" "$BTRFS_ROOT_MOUNT"
echo "Migration data copy complete."
echo "Please verify the contents if possible."
echo ""
echo "NEXT STEPS:"
echo "1. Run 'nixos-rebuild switch' to apply the new hardware-configuration.nix changes."
echo "2. Once verified, you can manually delete the old files in /games to free up space (the space is currently shared via reflink, so deleting won't free space until the old refs are gone, but it cleans up the folder view)."
echo " Example: doas rm -rf /games/steamfiles..."

10
scripts/run-nixbsd-vm.sh
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#!/usr/bin/env bash
# Script to build and run the NixBSD VM
set -e
echo "Building NixBSD VM..."
VM_PATH=$(nix build .#nixosConfigurations.nixbsd.config.system.build.vm --no-link --print-out-paths --extra-experimental-features 'nix-command flakes')
echo "Starting NixBSD VM..."
$VM_PATH/bin/run-nixbsd-vm