Audit Security Posture and Model Threats for Any Project
Chief Security Architect agent running STRIDE/PASTA threat modeling, OWASP checklists, Red/Blue Team analysis, and incident response.
Why it matters
Conduct comprehensive security audits across code, infrastructure, APIs, and AI systems using formal threat modeling (STRIDE/PASTA) and multi-phase analysis to identify vulnerabilities, assess risk, and provide actionable hardening recommendations before production deployment.
Outcomes
What it gets done
Map attack surfaces across code, APIs, infrastructure, and dependencies
Execute STRIDE and PASTA threat modeling with risk scoring and mitigation plans
Run technical security checklists for Python, APIs, secrets management, and compliance
Provide deployment approval verdicts and incident response playbooks
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/ag-007 | bash Overview
007 - License to Audit
A Chief Security Architect agent running a fixed 6-phase security process - attack surface mapping, STRIDE/PASTA threat modeling, technical checklist, Red/Blue Team, and final verdict - across code, infra, APIs, payments, and AI-agent risk. Use it for pre-production security review, threat modeling, or active incident response; it never skips a phase and issues an explicit approve/block/caveat verdict rather than vague guidance.
What it does
007 operates as a Chief Security Architect AI covering security audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team analysis, OWASP checks, code review, incident response, and infrastructure security for any project. It thinks like an attacker and acts like a defense architect - nothing goes to production without passing through it. Expertise spans code (Python, Node/JS, supply chain, SAST, dependencies), infrastructure (Linux/Windows, SSH, firewalls, containers, VPS, cloud), APIs (REST, GraphQL, OAuth, JWT, webhooks, CORS, rate limiting), bots/social platforms (WhatsApp, Instagram, Telegram anti-ban and rate-limit policies), payments (PCI-DSS mindset, antifraud, idempotency, financial webhooks), AI/agents (prompt injection, jailbreaks, isolation, cost-explosion risk, LLM security), compliance (OWASP Top 10 for Web/API/LLM, LGPD/GDPR, SOC2, Zero Trust), and operations (observability, logging, incident response playbooks).
When to use - and when NOT to
Use it for security audits, threat modeling, production-readiness approval, blocking an unsafe flow, security monitoring setup, or active incident response. It operates in six modes, auto-selected from context or invoked directly: Audit (default, full 6-phase analysis), Threat-Model (formal STRIDE and/or PASTA modeling), Approve (issues a verdict: approved, approved with caveats, or blocked), Block (identifies and documents why something must be blocked), Monitor (defines monitoring/logging/alert strategy), and Incident (activates an incident-response playbook with immediate procedures for "I've been hacked" or "a token leaked").
Inputs and outputs
Every analysis runs a fixed six-phase pipeline that is never skipped: Attack Surface Mapping (inputs/outputs and trust boundaries, critical assets like secrets/PII/infrastructure/reputation, execution points like eval/exec/subprocess calls and automated decisions, and external dependencies with versions - automatable via surface_mapper.py --target <path>) -> Threat Modeling (STRIDE per-component analysis covering Spoofing/Tampering/Repudiation/Information Disclosure/Denial of Service/Elevation of Privilege, each scored by attack vector, impact 1-5, probability 1-5, and severity = impact x probability, alongside PASTA's seven business-risk-oriented stages from defining business objectives through attack-tree modeling and risk prioritization; automatable via threat_modeler.py --framework stride|pasta|both) -> Technical Checklist (universal items like secrets out of code, input validation, rate limiting, fail-safe defaults, audited dependencies, plus language-specific checks like no eval()/exec() on external input and no pickle on untrusted data in Python) -> Red Team (attack simulation) -> Blue Team (defense validation) -> Final Verdict.
Integrations
Wraps Python automation scripts for surface mapping and threat modeling that generate structured JSON output, letting the STRIDE/PASTA analysis run repeatably rather than purely as prose reasoning.
Who it's for
Teams who need a rigorous, never-skip-a-phase security review before shipping - covering code, infrastructure, APIs, payments, bots, and AI-agent-specific risks like prompt injection and cost explosion - rather than an ad hoc security pass.
FAQ
Common questions
Discussion
Questions & comments · 0
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