Add folder anatomy (scripts/agent.py + references/api-reference.md) for 648 cybersecurity skills

Complete skill folder anatomy across all cybersecurity skills:
- scripts/agent.py: 80-150 line Python agents using real libraries (impacket,
  boto3, azure-mgmt-*, kubernetes, pefile, yara, scapy, shodan, stix2, etc.)
- references/api-reference.md: real API documentation with method signatures
- LICENSE: MIT license for all skill folders
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MIT License
Copyright (c) 2025 Anthropic Agent Skills Contributors
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
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# API Reference: OT Conduit Security Assessment Agent
## Dependencies
| Library | Version | Purpose |
|---------|---------|---------|
| (stdlib only) | Python 3.8+ | Socket-based OT port scanning, JSON processing |
## CLI Usage
```bash
python scripts/agent.py \
--targets 10.10.1.1 10.10.1.2 \
--controls-data /assessments/conduit_controls.json \
--output-dir /reports/
```
## Functions
### `scan_ot_ports(target, timeout) -> list`
TCP connect scan for 9 OT protocol ports (Modbus 502, S7comm 102, OPC UA 4840, etc.).
### `assess_conduit_controls(responses) -> list`
Evaluates 8 IEC 62443-aligned conduit controls: jump server, MFA, session recording, segmentation, encryption.
### `compute_conduit_risk_score(control_results, open_ports) -> dict`
Calculates risk score (0-100) penalizing for exposed OT ports and missing controls.
### `generate_report(targets, responses) -> dict`
Full assessment with port scanning, control evaluation, and risk scoring.
## OT Protocols Scanned
| Port | Protocol |
|------|----------|
| 502 | Modbus TCP |
| 102 | S7comm (Siemens) |
| 44818 | EtherNet/IP |
| 20000 | DNP3 |
| 4840 | OPC UA |
| 47808 | BACnet |
## IEC 62443 Controls Checked
| ID | Control | IEC Ref |
|----|---------|---------|
| C-01 | Jump server required | SR 5.1 |
| C-02 | MFA at conduit entry | SR 1.1 |
| C-05 | IT/OT segmentation | SR 5.1 |
| C-06 | Protocol-aware firewall | SR 5.2 |
## Output Schema
```json
{
"summary": {"controls_implemented": 6, "controls_total": 8},
"targets": [{"host": "10.10.1.1", "open_ot_ports": [{"port": 502, "protocol": "Modbus TCP"}]}]
}
```
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#!/usr/bin/env python3
"""OT remote access conduit security assessment agent for ICS/SCADA environments."""
import argparse
import json
import logging
import os
import socket
import sys
from datetime import datetime
from typing import Dict, List
logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
logger = logging.getLogger(__name__)
OT_PORTS = {
502: "Modbus TCP",
102: "S7comm (Siemens)",
44818: "EtherNet/IP",
20000: "DNP3",
4840: "OPC UA",
2222: "EtherNet/IP (implicit)",
47808: "BACnet",
1911: "Niagara Fox",
9600: "OMRON FINS",
}
CONDUIT_CHECKS = [
{"id": "C-01", "control": "Jump server required for OT access",
"category": "Access Control", "iec_ref": "IEC 62443-3-3 SR 5.1"},
{"id": "C-02", "control": "MFA enforced on conduit entry point",
"category": "Authentication", "iec_ref": "IEC 62443-3-3 SR 1.1"},
{"id": "C-03", "control": "Session recording enabled",
"category": "Monitoring", "iec_ref": "IEC 62443-3-3 SR 6.1"},
{"id": "C-04", "control": "Time-limited access windows",
"category": "Access Control", "iec_ref": "IEC 62443-3-3 SR 2.1"},
{"id": "C-05", "control": "Network segmentation between IT and OT",
"category": "Network", "iec_ref": "IEC 62443-3-3 SR 5.1"},
{"id": "C-06", "control": "Protocol-aware firewall at conduit boundary",
"category": "Network", "iec_ref": "IEC 62443-3-3 SR 5.2"},
{"id": "C-07", "control": "Encrypted tunnel for remote access",
"category": "Encryption", "iec_ref": "IEC 62443-3-3 SR 4.1"},
{"id": "C-08", "control": "Vendor access through separate conduit",
"category": "Access Control", "iec_ref": "IEC 62443-3-3 SR 1.13"},
]
def scan_ot_ports(target: str, timeout: int = 3) -> List[dict]:
"""Scan for exposed OT protocol ports on a target."""
results = []
for port, protocol in OT_PORTS.items():
try:
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.settimeout(timeout)
result = s.connect_ex((target, port))
if result == 0:
results.append({"port": port, "protocol": protocol, "status": "open"})
s.close()
except (socket.timeout, OSError):
continue
return results
def assess_conduit_controls(responses: Dict[str, bool]) -> List[dict]:
"""Assess conduit security controls against IEC 62443 requirements."""
results = []
for check in CONDUIT_CHECKS:
implemented = responses.get(check["id"], False)
results.append({
**check,
"implemented": implemented,
"severity": "CRITICAL" if not implemented and check["category"] in ("Access Control", "Network") else "HIGH" if not implemented else "OK",
})
return results
def compute_conduit_risk_score(control_results: List[dict], open_ports: List[dict]) -> dict:
"""Compute conduit risk score based on controls and exposed ports."""
max_score = len(CONDUIT_CHECKS) * 10
score = sum(10 for c in control_results if c["implemented"])
port_penalty = len(open_ports) * 5
final_score = max(0, score - port_penalty)
pct = (final_score / max_score * 100) if max_score else 0
if pct >= 80:
risk = "LOW"
elif pct >= 50:
risk = "MEDIUM"
else:
risk = "HIGH"
return {"score": final_score, "max_score": max_score,
"percentage": round(pct, 1), "risk_level": risk,
"exposed_ot_ports": len(open_ports)}
def generate_report(targets: List[str], responses: Dict[str, bool]) -> dict:
"""Generate OT conduit security assessment report."""
report = {"analysis_date": datetime.utcnow().isoformat(), "targets": []}
control_results = assess_conduit_controls(responses)
for target in targets:
open_ports = scan_ot_ports(target)
risk = compute_conduit_risk_score(control_results, open_ports)
report["targets"].append({
"host": target, "open_ot_ports": open_ports, "risk": risk,
})
report["conduit_controls"] = control_results
report["summary"] = {
"controls_implemented": sum(1 for c in control_results if c["implemented"]),
"controls_total": len(control_results),
"targets_scanned": len(targets),
}
return report
def main():
parser = argparse.ArgumentParser(description="OT Conduit Security Assessment Agent")
parser.add_argument("--targets", nargs="+", default=[], help="OT gateway hosts to scan")
parser.add_argument("--controls-data", default="", help="JSON file with control responses")
parser.add_argument("--output-dir", default=".")
parser.add_argument("--output", default="conduit_report.json")
args = parser.parse_args()
responses = {}
if args.controls_data and os.path.isfile(args.controls_data):
with open(args.controls_data) as f:
responses = json.load(f)
os.makedirs(args.output_dir, exist_ok=True)
report = generate_report(args.targets, responses)
out_path = os.path.join(args.output_dir, args.output)
with open(out_path, "w") as f:
json.dump(report, f, indent=2)
logger.info("Report saved to %s", out_path)
print(json.dumps(report["summary"], indent=2))
if __name__ == "__main__":
main()