Samurai-goose

18 mods across 1 repository, 2 stars between them.

Samurai-goose/SPECTER-The-Illusive-Security-Protocol

Skill Claude CodeCodex

Audit CI/CD pipelines and software supply chains for poisoning vectors, secret exposure, artifact tampering, dependency confusion, and build environment compromise. Covers GitHub Actions, GitLab CI, Jenkins, and container build pipelines.

2 2mo ago A 51 tokens original MIT

cloud-config-audit

05

Samurai-goose/SPECTER-The-Illusive-Security-Protocol

Skill Claude CodeCodex

Audit cloud infrastructure configuration for security misconfigurations across AWS, Azure, and GCP. Covers IAM, storage, networking, compute, and logging. Reviews IaC templates (Terraform, CloudFormation, Pulumi).

2 2mo ago A 48 tokens original MIT

llm-and-ai-security

11

Samurai-goose/SPECTER-The-Illusive-Security-Protocol

Skill Claude CodeCodex

Security and safety assessment for LLM applications, AI agents, and AI-integrated systems. Covers OWASP LLM Top 10 2025, prompt injection, jailbreaking, training data attacks, model extraction, AI plugin abuse, agentic system risks, and AI red teaming methodology.

2 2mo ago B 64 tokens original MIT

secure-code-review

14

Samurai-goose/SPECTER-The-Illusive-Security-Protocol

Skill Claude CodeCodex

Source-level vulnerability hunting. Systematic review of application source code for injection flaws, auth bypasses, logic bugs, cryptographic weaknesses, and unsafe patterns. Operates on code files within the workspace.

2 2mo ago A 44 tokens original MIT

specter-delta

16

Samurai-goose/SPECTER-The-Illusive-Security-Protocol

Skill Claude CodeCodex

Fast-path security audit of files changed since last commit. Runs automatically after every coding task. Scopes exclusively to git diff. Escalates to the full applicable skill if S1 or S2 findings are discovered.

2 2mo ago A 48 tokens original MIT

threat-modeling

17

Samurai-goose/SPECTER-The-Illusive-Security-Protocol

Skill Claude CodeCodex

Proactive threat identification using structured frameworks (STRIDE, PASTA). Models data flows, trust boundaries, and threat actors to prioritize security testing and contextualize findings with business risk.

2 2mo ago A 42 tokens original MIT