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https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git
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Demand-driven expansion targeting the fastest-growing 2025-2026 threat and
skills categories (ISC2/WEF/CrowdStrike/Mandiant signals):
- AI Security (NEW domain, 12 skills): LLM red-teaming with garak/PyRIT,
prompt injection (direct/indirect/RAG), MCP tool-poisoning, agentic tool
invocation, guardrails, model/data poisoning, system-prompt leakage,
embedding/vector weaknesses, model extraction, continuous red-teaming
- Supply Chain Security (NEW domain, 5 skills): SBOMs, dependency confusion,
malicious-npm triage, typosquatting, SLSA/Sigstore provenance
- Hardware & Firmware Security (NEW domain, 4 skills): CHIPSEC/UEFI audit,
Secure Boot bypass, TPM measured-boot attestation, ESP bootkit hunting
- Identity (10): Entra ID/ROADtools, GraphRunner, AADInternals, ADCS/Certipy,
shadow credentials, coercion, BloodHound CE, device-code phishing, SSO abuse
- Cloud-native (8): Stratus, Pacu, CloudFox, container escape, K8s RBAC,
Falco, Trivy, kube-bench
- Offensive C2 (6): Sliver, Havoc, NetExec, DPAPI, NTLM relay ESC8, redirectors
- DFIR (6): Hayabusa, Chainsaw, KAPE, Velociraptor, EZ Tools, Plaso
- Backfill (4): OpenCTI, MISP, honeytokens, post-quantum crypto migration
Each skill follows the repo taxonomy (SKILL.md + references/{standards,api-reference}.md
+ scripts/agent.py + LICENSE), with researched real tool commands (no placeholders),
complete frontmatter, and ATT&CK/ATLAS + NIST CSF mappings. Updates README domain
table, skill count, and index.json.
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Standards and Framework Mapping — Fleet Hunting with Velociraptor
NIST Cybersecurity Framework 2.0
| ID | Name | Rationale |
|---|---|---|
| DE.CM-01 | Networks and network services are monitored to find potentially adverse events | Velociraptor provides continuous endpoint visibility and on-demand fleet hunts that surface adverse events (anomalous execution, persistence, lateral movement) across monitored assets. |
MITRE ATT&CK
| ID | Name | Rationale |
|---|---|---|
| T1059 | Command and Scripting Interpreter | VQL hunts commonly target abuse of interpreters (PowerShell, cmd, WScript) — a frequent adversary technique that Velociraptor detects fleet-wide. |
Supporting References
- Velociraptor Documentation: https://docs.velociraptor.app/
- VQL Reference: https://docs.velociraptor.app/vql_reference/
- Velociraptor Artifact Exchange: https://docs.velociraptor.app/exchange/
- NIST SP 800-61r2 Computer Security Incident Handling Guide
- NIST SP 800-92 Guide to Computer Security Log Management