Instructions for msaad00/agent-bom, a project described as: Open security scanner and self-hosted control plane for AI, MCP, and cloud. One evidence model — run scans in your environment, centralize findings, govern in your VPC.
Open security scanner for agentic infrastructure — agents, MCP, packages, blast radius, runtime, and trust across MCP servers, skills, packages, and agents in Cortex Code.
Open security scanner for agentic infrastructure — agents, MCP, packages, blast radius, runtime, and trust across MCP discovery, CVEs, SBOMs, CIS benchmarks (AWS, Azure, GCP, Snowflake), OWASP/NIST/MITRE compliance, AISVS v1.0, MAESTRO layer tagging, and vector database security checks. Use when the user mentions…
Analyze blast radius, attack paths, and threat landscape across your AI infrastructure. Use when: "blast radius", "threat intel", "risk score", "attack path", "lateral movement", "context graph", "who can reach what".
AI compliance and policy engine — evaluate scan results against OWASP, NIST, SOC 2, ISO 27001, CMMC, EU AI Act, AISVS v1.0, and related frameworks. Generate SBOMs and compliance reports. Use when: "compliance report", "NIST", "SOC 2", "ISO 27001", "OWASP", "EU AI Act", "AISVS", "generate SBOM", "policy check".
Discover AWS-hosted AI agent and MCP-relevant assets from the operator's environment, emit canonical agent-bom inventory JSON, and scan it without giving agent-bom long-lived cloud credentials. Use when a user asks to inventory AWS Bedrock, ECS, SageMaker, Lambda, EKS, Step Functions, EC2, or agentic AWS…
Discover Azure-hosted AI agent and MCP-relevant assets from the operator's environment, emit canonical agent-bom inventory JSON, and scan it without giving agent-bom long-lived Azure credentials. Use when a user asks to inventory Azure OpenAI, Container Apps, AKS, Functions, ML, or agentic Azure infrastructure as…
Discover GCP-hosted AI agent and MCP-relevant assets from the operator's environment, emit canonical agent-bom inventory JSON, and scan it without giving agent-bom long-lived GCP credentials. Use when a user asks to inventory Vertex AI, Cloud Run, Cloud Functions, GKE, or agentic GCP infrastructure as canonical…
Discover Snowflake Cortex, Snowpark, notebook, Streamlit, MCP, and AI-observability assets from the operator's environment, emit canonical agent-bom inventory JSON, and scan it without giving agent-bom long-lived Snowflake credentials. Use when a user asks to inventory Snowflake AI or Cortex infrastructure as…
Discover AI agents, MCP servers, and configurations on this machine or environment. Use when: "find agents", "what's configured", "doctor", "what MCP servers", "show me what's installed", "mcp inventory".
Validate and ingest operator-pushed agent-bom inventory JSON from AWS, Azure, GCP, Snowflake, CMDB, or endpoint collectors. Use when a user has canonical inventory JSON and wants local findings, graph, policy, provenance, or auditor-ready exports without giving agent-bom direct cloud credentials.
MCP server security registry and trust assessment — look up servers in the 1112-entry server security metadata registry, run pre-install marketplace checks, batch fleet risk scoring, assess skill file trust, and run SAST code scans. Use when the user mentions MCP server trust, registry lookup, marketplace check, or…
AI runtime security monitoring — context graph analysis, runtime audit log correlation with CVE findings, and vulnerability analytics queries. Use when the user mentions runtime monitoring, context graphs, lateral movement analysis, audit log correlation, or vulnerability analytics.
Use agent-bom to check package, SBOM, inventory, and agent dependency exposure against OSV, GitHub Security Advisories, NVD, EPSS, and CISA KEV with explicit data-boundary choices. Use when a user asks for CVE lookup, advisory intelligence, exploitability context, fix versions, GHSA/OSV/NVD enrichment, or package…
Open security scanner and self-hosted control plane for AI, MCP, and cloud infrastructure. Runs locally from the agent-bom Python package. Needs 1 environment variable to run.
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