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Neo the AI Threat Modeler for Cross Infrastructure Threats

neo-threat 최신버젼 다운로드

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// repository documentation

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# NEO Threat

Multi-agent threat modeling pipeline. Point it at a code repository; get back a ranked, validated, mitigation-bearing threat report.

The pipeline runs seven steps — code extraction, doc extraction, architecture synthesis, trust boundaries, BFS perspective sweeps, deep per-threat analysis (6a–6e), and aggregation. Each step writes a typed Pydantic artifact to `.artifacts/{run_id}/`. Resume is automatic: a step whose artifact exists is skipped.

## Install

```bash
pip install -r requirements.txt
```

Auth: set `CLAUDE_CODE_OAUTH_TOKEN` (Pro/Max subscription, `claude setup-token`) or `ANTHROPIC_API_KEY` (pay-per-token). The Agent SDK picks up whichever is present.

## Run

```bash
python main.py --target ./my-project
```

A `run_id` is generated and printed. Re-running with `--run-id <id>` resumes from the first missing artifact.

See `Commands.md` for the full CLI reference.

## View

Open `index.html` select your output from the Neo Threat, output in .artefacts

## Layout

```
contracts/        Pydantic models — one per artifact
infrastructure/   Artifact store, concurrency, backend, base agent
agents/           One file per agent (18 total)
pipeline/         Orchestrator, repo-tree pre-step, deep-phase loop
prompts/          System prompts (one .txt per agent)
```

# See License in License.md and CLA.md

This project bundles data from MITRE ATT&CK® and MITRE CWE™. See `THIRD_PARTY_NOTICES.md` for the required attribution and terms of use.

neo-threat

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