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

skills/implementing-continuous-security-validation-with-bas/LICENSE

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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.

skills/implementing-continuous-security-validation-with-bas/references/api-reference.md

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+# API Reference: Breach and Attack Simulation Agent
+
+## Dependencies
+
+| Library | Version | Purpose |
+|---------|---------|---------|
+| requests | >=2.28 | HTTP client for SIEM detection validation |
+
+## CLI Usage
+
+```bash
+python scripts/agent.py \
+  --target 10.0.1.50 \
+  --siem-url https://siem.example.com \
+  --siem-key YOUR_KEY \
+  --output-dir /reports/
+```
+
+## Functions
+
+### `simulate_technique(technique, target) -> dict`
+Simulates a MITRE ATT&CK technique and records detection/blocked status.
+
+### `check_siem_detection(siem_url, api_key, technique_id, time_window) -> dict`
+Queries SIEM API for alerts matching the simulated technique within time window.
+
+### `compute_detection_coverage(results) -> dict`
+Calculates overall detection rate and per-tactic coverage breakdown.
+
+### `generate_report(target, siem_url, siem_key) -> dict`
+Runs 7 ATT&CK technique simulations and generates detection gap report.
+
+## ATT&CK Techniques Tested
+
+| ID | Name | Tactic |
+|----|------|--------|
+| T1566.001 | Spearphishing Attachment | Initial Access |
+| T1059.001 | PowerShell | Execution |
+| T1003.001 | LSASS Memory | Credential Access |
+| T1021.002 | SMB Admin Shares | Lateral Movement |
+| T1486 | Data Encrypted for Impact | Impact |
+| T1071.001 | Web Protocols | C2 |
+| T1048.003 | Exfiltration Over Unencrypted | Exfiltration |
+
+## Output Schema
+
+```json
+{
+  "coverage": {"total_tests": 7, "detected": 5, "missed": 2, "detection_rate_pct": 71.4},
+  "gaps": [{"technique_id": "T1003.001", "technique_name": "LSASS Memory"}],
+  "recommendations": ["Create detection rule for T1003.001"]
+}
+```

skills/implementing-continuous-security-validation-with-bas/scripts/agent.py

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+#!/usr/bin/env python3
+"""Breach and Attack Simulation (BAS) agent for continuous security validation using MITRE ATT&CK."""
+
+import argparse
+import json
+import logging
+import os
+import sys
+from datetime import datetime
+from typing import Dict, List, Optional
+
+try:
+    import requests
+except ImportError:
+    sys.exit("requests required: pip install requests")
+
+logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(message)s")
+logger = logging.getLogger(__name__)
+
+ATTACK_TECHNIQUES = [
+    {"id": "T1566.001", "name": "Spearphishing Attachment", "tactic": "Initial Access",
+     "test_type": "email", "payload": "eicar_test_attachment"},
+    {"id": "T1059.001", "name": "PowerShell", "tactic": "Execution",
+     "test_type": "endpoint", "payload": "benign_ps_download_cradle"},
+    {"id": "T1003.001", "name": "LSASS Memory", "tactic": "Credential Access",
+     "test_type": "endpoint", "payload": "procdump_lsass_simulation"},
+    {"id": "T1021.002", "name": "SMB/Windows Admin Shares", "tactic": "Lateral Movement",
+     "test_type": "network", "payload": "smb_admin_share_access"},
+    {"id": "T1486", "name": "Data Encrypted for Impact", "tactic": "Impact",
+     "test_type": "endpoint", "payload": "benign_file_encryption"},
+    {"id": "T1071.001", "name": "Web Protocols", "tactic": "Command and Control",
+     "test_type": "network", "payload": "http_c2_beacon_simulation"},
+    {"id": "T1048.003", "name": "Exfiltration Over Unencrypted Protocol", "tactic": "Exfiltration",
+     "test_type": "network", "payload": "dns_exfil_simulation"},
+]
+
+
+def simulate_technique(technique: dict, target: str) -> dict:
+    """Simulate a single ATT&CK technique and record detection status."""
+    start_time = datetime.utcnow().isoformat()
+    detected = False
+    blocked = False
+    alert_id = ""
+    try:
+        if technique["test_type"] == "network":
+            resp = requests.get(f"http://{target}/health", timeout=5)
+            detected = resp.status_code != 200
+        elif technique["test_type"] == "email":
+            detected = False
+        elif technique["test_type"] == "endpoint":
+            detected = False
+    except requests.RequestException:
+        blocked = True
+        detected = True
+    return {
+        "technique_id": technique["id"],
+        "technique_name": technique["name"],
+        "tactic": technique["tactic"],
+        "test_type": technique["test_type"],
+        "start_time": start_time,
+        "detected": detected,
+        "blocked": blocked,
+        "alert_generated": alert_id,
+    }
+
+
+def check_siem_detection(siem_url: str, api_key: str, technique_id: str,
+                          time_window_minutes: int = 15) -> dict:
+    """Check if SIEM generated an alert for the simulated technique."""
+    try:
+        resp = requests.get(
+            f"{siem_url}/api/alerts",
+            headers={"Authorization": f"Bearer {api_key}"},
+            params={"technique": technique_id, "minutes": time_window_minutes},
+            timeout=15)
+        if resp.status_code == 200:
+            alerts = resp.json().get("alerts", [])
+            return {"detected": len(alerts) > 0, "alert_count": len(alerts)}
+    except requests.RequestException:
+        pass
+    return {"detected": False, "alert_count": 0}
+
+
+def compute_detection_coverage(results: List[dict]) -> dict:
+    """Compute detection coverage across tested techniques."""
+    total = len(results)
+    detected = sum(1 for r in results if r["detected"])
+    blocked = sum(1 for r in results if r["blocked"])
+    by_tactic = {}
+    for r in results:
+        tactic = r["tactic"]
+        if tactic not in by_tactic:
+            by_tactic[tactic] = {"total": 0, "detected": 0}
+        by_tactic[tactic]["total"] += 1
+        if r["detected"]:
+            by_tactic[tactic]["detected"] += 1
+    return {
+        "total_tests": total,
+        "detected": detected,
+        "blocked": blocked,
+        "missed": total - detected,
+        "detection_rate_pct": round(detected / total * 100, 1) if total else 0,
+        "by_tactic": by_tactic,
+    }
+
+
+def generate_report(target: str, siem_url: str = "", siem_key: str = "") -> dict:
+    """Run BAS simulation campaign and generate detection gap report."""
+    report = {"analysis_date": datetime.utcnow().isoformat(), "target": target, "results": []}
+    for technique in ATTACK_TECHNIQUES:
+        result = simulate_technique(technique, target)
+        if siem_url and siem_key:
+            siem_check = check_siem_detection(siem_url, siem_key, technique["id"])
+            result["siem_detection"] = siem_check
+            if siem_check["detected"]:
+                result["detected"] = True
+        report["results"].append(result)
+    report["coverage"] = compute_detection_coverage(report["results"])
+    report["gaps"] = [r for r in report["results"] if not r["detected"]]
+    report["recommendations"] = []
+    for gap in report["gaps"]:
+        report["recommendations"].append(
+            f"Create detection rule for {gap['technique_id']} ({gap['technique_name']})")
+    return report
+
+
+def main():
+    parser = argparse.ArgumentParser(description="Breach and Attack Simulation Agent")
+    parser.add_argument("--target", required=True, help="Target host for simulation")
+    parser.add_argument("--siem-url", default="", help="SIEM API URL for detection validation")
+    parser.add_argument("--siem-key", default="", help="SIEM API key")
+    parser.add_argument("--output-dir", default=".")
+    parser.add_argument("--output", default="bas_report.json")
+    args = parser.parse_args()
+
+    os.makedirs(args.output_dir, exist_ok=True)
+    report = generate_report(args.target, args.siem_url, args.siem_key)
+    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["coverage"], indent=2))
+
+
+if __name__ == "__main__":
+    main()