Add 10 new cybersecurity skills with full folder anatomy

Skills added:
- implementing-privileged-access-workstation (IAM, PAW hardening)
- detecting-suspicious-oauth-application-consent (cloud security, Graph API)
- performing-hardware-security-module-integration (cryptography, PKCS#11)
- analyzing-android-malware-with-apktool (malware analysis, androguard)
- hunting-for-unusual-service-installations (threat hunting, T1543.003)
- detecting-shadow-it-cloud-usage (cloud security, proxy/DNS log analysis)
- performing-active-directory-forest-trust-attack (red team, impacket)
- implementing-deception-based-detection-with-canarytoken (deception, Canary API)
- analyzing-office365-audit-logs-for-compromise (cloud security, BEC detection)
- hunting-for-startup-folder-persistence (threat hunting, T1547.001)

Each skill includes SKILL.md, LICENSE, scripts/agent.py, references/api-reference.md

skills/detecting-shadow-it-cloud-usage/references/api-reference.md

@@ -0,0 +1,61 @@
+# API Reference — Detecting Shadow IT Cloud Usage
+
+## Libraries Used
+- **pandas**: DataFrame aggregation for traffic analysis — groupby, agg, nunique
+- **tldextract**: Accurate registered domain extraction from URLs/hostnames
+- **csv**: CSV log parsing with DictReader
+- **re**: Regex parsing for Squid proxy and BIND DNS query log formats
+
+## CLI Interface
+```
+python agent.py access.log --type proxy parse
+python agent.py access.log --type proxy analyze
+python agent.py dns-queries.log --type dns full
+python agent.py traffic.csv --type csv --approved approved.txt full
+```
+
+## Core Functions
+
+### `parse_proxy_log(filepath)` — Parse Squid/common proxy access logs
+Regex pattern matches Squid format: `timestamp duration client_ip status bytes method url`.
+Falls back to Apache Common Log Format parsing.
+
+### `parse_dns_log(filepath)` — Parse BIND/named DNS query logs
+Extracts query name and type from `query: DOMAIN IN TYPE` patterns.
+Strips trailing dots from FQDNs.
+
+### `parse_csv_log(filepath)` — Parse generic CSV traffic logs
+Expects columns: timestamp, src_ip, dst_domain, bytes_out, bytes_in.
+
+### `analyze_traffic(records)` — Aggregate and classify traffic
+Uses pandas groupby on domain: total_bytes (sum), request_count (count),
+unique_users (nunique). Falls back to collections.defaultdict if pandas unavailable.
+
+### `classify_domain(domain)` — Categorize against SaaS database
+Categories: storage, email, dev_tools, ai_ml, messaging, file_sharing, vpn_proxy.
+
+### `full_audit(log_path, log_type, approved_list)` — Complete shadow IT audit
+
+## Risk Scoring
+| Factor | Points |
+|--------|--------|
+| Unapproved domain | +30 |
+| Storage/file-sharing/VPN category | +25 |
+| Email category | +15 |
+| Data volume (per 10 MB) | +1 (max 20) |
+| Unique users (per user) | +3 (max 15) |
+
+## SaaS Category Database
+| Category | Example Domains |
+|----------|----------------|
+| storage | dropbox.com, box.com, mega.nz, wetransfer.com |
+| email | protonmail.com, tutanota.com, guerrillamail.com |
+| dev_tools | github.com, gitlab.com, replit.com |
+| ai_ml | chat.openai.com, claude.ai, huggingface.co |
+| messaging | telegram.org, discord.com, signal.org |
+| file_sharing | pastebin.com, file.io, gofile.io |
+| vpn_proxy | nordvpn.com, expressvpn.com, protonvpn.com |
+
+## Dependencies
+- `pandas` >= 1.5.0
+- `tldextract` >= 3.4.0 (optional, improves domain extraction accuracy)