Senior Security Engineer — Threat Modeling + Security Router
SkillSecurityYour AI can handle security engineering work, from threat modeling and secret scanning to architecture design and compliance audits. The skill covers application security, penetration testing, security architecture, and cryptography, with assessment tools and automation included. It is most useful when you are designing security architecture or checking how an application could be attacked.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding the skill, ask your AI to build a threat model for a feature or scan your codebase for leaked secrets. It can then help design your security architecture or run a broader assessment.
Then ask your AI: use the Senior Security Engineer — Threat Modeling + Security Router skill
What your AI can do with it
- Build STRIDE threat models with DREAD scoring
- Scan a codebase for leaked secrets
- Design security architecture for applications
- Run security assessments on your code
- Implement cryptographic functionality
- Audit applications for compliance issues
What this skill tells your AI
The instructions your AI receives, as published by ahtavarasmus/lightfriend in .claude/skills/senior-security/SKILL.md and read by ahel’s review.
This skill does exactly one job itself — STRIDE/DREAD threat modeling (plus a quick secret scan) — and routes every other security request to the specialist skill that owns that lane. Do not duplicate sibling content here; route instead.
Routing Table (read this first)
| The user wants... | Route to | Why that skill owns it |
|---|---|---|
| Vulnerability assessment, pen-test methodology, OWASP Top 10 testing | ../security-pen-testing/ | Ships vulnerability_scanner.py + dependency_auditor.py with exit-code contracts |
| Incident triage, SEV classification, forensics, containment | ../incident-response/ | SEV1–SEV4 taxonomy, NIST SP 800-61 phases, incident_triage.py |
| Production outage command (non-security incidents) | ../incident-commander/ | Severity classifier + timeline + postmortem tools |
| Security monitoring, CVE triage SLAs, compliance checks (SOC 2 etc.), security headers | ../senior-secops/ | security_scanner.py + compliance_checker.py, CVE SLA table |
| Hostile/adversarial code review | ../adversarial-reviewer/ | 3-persona review with BLOCK/CONCERNS/CLEAN verdict |
| Secure code review as part of general review | ../code-reviewer/ | Language dispatch + regression fixtures |
| Cloud IAM escalation paths, S3 exposure, security groups | ../cloud-security/ | cloud_posture_check.py with per-check exit codes |
| Threat hunting, IOC sweeps, anomaly detection | ../threat-detection/ | z-score anomaly + IOC staleness tooling |
| Red-team engagement planning, ATT&CK kill chains | ../red-team/ | engagement_planner.py with authorization gate |
| LLM/AI attack surface (prompt injection, poisoning) | ../ai-security/ | ATLAS-mapped ai_threat_scanner.py |
If the request spans lanes (e.g., "secure this new architecture"), do the threat model here first — its output (prioritized threats + mitigations) tells you which siblings to load next. Never bulk-load multiple security skills speculatively.
What This Skill Owns: STRIDE Threat Modeling
Workflow
- Scope: assets to protect, trust boundaries, data flows (external entities, processes, data stores, flows).
- Generate the threat model per component:
Output: per-threat STRIDE category, DREAD score (Damage, Reproducibility, Exploitability, Affected users, Discoverability — each 1–10), and suggested mitigations. Repeat per DFD element;python3 scripts/threat_modeler.py --component "User Authentication" --assets "credentials,sessions" --json --output threats.json--interactivewalks scoping questions;--list-threatsshows the threat database. - Consume the output: sort
threats.jsonby DREAD score descending; everything ≥ 7 average needs a named mitigation owner before the design ships. Map each mitigation to the responsible sibling lane (e.g., IAM threats →cloud-security, injection threats →code-reviewer). - Quick secret sweep while you have the codebase open:
20+ patterns (AWS keys, GitHub tokens, private keys, generic credentials). Any critical/high finding blocks merge until rotated and moved to a secret manager.python3 scripts/secret_scanner.py /path/to/project --format json --severity high - Verification gate: every DFD element has ≥ 1 STRIDE row considered, every threat with DREAD ≥ 7 has an owner + mitigation, and the secret scan exits with zero high/critical findings. Re-run both tools after mitigations land — that re-run is the done signal, not the document.
STRIDE per Element Matrix
| DFD Element | S | T | R | I | D | E |
|---|---|---|---|---|---|---|
| External Entity | X | X | ||||
| Process | X | X | X | X | X | X |
| Data Store | X | X | X | X | ||
| Data Flow | X | X | X |
(S=Spoofing→authn, T=Tampering→integrity, R=Repudiation→audit logs, I=Info Disclosure→encryption/access control, D=DoS→rate limiting/redundancy, E=Elevation→least privilege.)
References (load on demand)
| Document | Content |
|---|---|
| references/threat-modeling-guide.md | STRIDE methodology, attack trees, DREAD scoring, DFD creation |
| references/security-architecture-patterns.md | Zero Trust, defense-in-depth, authentication patterns, API security |
| references/cryptography-implementation.md | AES-GCM, Ed25519, password hashing (Argon2id), key management |
The architecture and crypto references are kept because no sibling ships them; for operating those controls (scanning, compliance, monitoring) still route to senior-secops.
Signals
- GitHub stars
- 78
- Forks
- 9
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
senior-security- Source
- github.com/ahtavarasmus/lightfriend