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-alert-fatigue-reduction/references/api-reference.md

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+# API Reference: Implementing Alert Fatigue Reduction
+
+## Libraries
+
+### splunk-sdk (Splunk SDK for Python)
+- **Install**: `pip install splunk-sdk`
+- **Docs**: https://dev.splunk.com/enterprise/docs/devtools/python/sdk-python/
+- `splunklib.client.connect(host, port, username, password)` -- Connect to Splunk
+- `service.jobs.create(query)` -- Execute a search query
+- `job.is_done()` -- Check if search job completed
+- `job.results(output_mode="json")` -- Retrieve results in JSON format
+- `splunklib.results.JSONResultsReader(stream)` -- Parse JSON results
+
+### Splunk ES Notable Events API
+- **Endpoint**: `/services/notable_update`
+- **Methods**: POST to update notable event status
+- **Fields**: `status`, `urgency`, `owner`, `comment`, `ruleUIDs`
+- **Status values**: `0` (Unassigned), `1` (New), `2` (In Progress), `5` (Resolved)
+
+## Key SPL Queries
+
+| Purpose | Key Functions |
+|---------|--------------|
+| Alert volume analysis | `stats count by rule_name`, `eval fp_rate` |
+| Risk-based alerting | `collect index=risk`, `eval risk_score` |
+| Alert consolidation | `dedup src, rule_name span=300` |
+| Capacity calculation | `bin _time span=1d`, `stats avg(daily_alerts)` |
+| Tiered routing | `eval routing = case(urgency, ...)` |
+
+## Risk-Based Alerting (RBA) Framework
+- Risk contributions replace individual alerts
+- `index=risk` stores cumulative risk scores per entity
+- Threshold alert fires only when `total_risk >= 75`
+- Typical risk score ranges: 5 (low) to 50 (critical)
+
+## Metrics Targets
+
+| Metric | Target |
+|--------|--------|
+| False Positive Rate | < 30% per production rule |
+| Alerts/Analyst/Shift | 40-60 (manageable range) |
+| Signal-to-Noise Ratio | > 1.0 |
+| MTTD | Under 15 minutes for critical |
+| MTTR | Under 4 hours for high severity |
+
+## External References
+- Splunk ES RBA Docs: https://docs.splunk.com/Documentation/ES/latest/Admin/RBA
+- Splunk SDK Python: https://github.com/splunk/splunk-sdk-python
+- MITRE ATT&CK Detection: https://attack.mitre.org/resources/