# Dark Factory Kits — The Method Behind the Gate | OneDroid > Open skills, patterns and verification gates for governed, test-first, evidence-gated development with AI agents — the written method OneDroid Argus enforces. Canonical: https://onedroid.ai/dark-factory OneDroid Dark Factory Toolkit # Autonomous delivery you can audit. The kits are the method OneDroid Argus enforces. Argus is the gate; this is what the gate is checking against, written down and free to read before you talk to anyone. How Argus applies it. Skills, patterns, and verification gates for running governed development loops with AI agents — mission in, verified software out. Agents do the work; evidence, not self-reports, decides what ships. Read the method on GitHub Help me implement this Everything here is open source under Apache-2.0 — the method, the skills, the enforcement hooks. There is no paid tier and nothing is held back. What we sell is help making it work inside your organisation. mission → design → build → verify → ship evidence log illustrative The principle ## Trust evidence, not agents. An agent reporting "done, all tests passing" is a claim, not a fact. In a dark factory loop, every hand-off carries the evidence to prove it — test output, diffs, exit codes — and an independent verifier tries to refute it before the work moves forward. Work that fails the gate goes back. Nothing ships on someone's word, including the machine's. What's in the toolkit ## The loop, as reusable parts. ### Stage skills Product owner, architect, test-first developer, QA — each stage of the loop as a skill any capable agent harness can run. ### Verification gates Adversarial review patterns that check the evidence for each claim — the gate validates proof, never redoes the work. ### Test-first discipline Acceptance criteria become a failing test list before code is written. Green means done; the tests never get weakened to pass. ### Dispatch patterns Fan work out to parallel sub-agents as explicit promises with defined evidence, and verify what comes back. ### Autonomy policy A simple decision model for what agents decide alone, what they log, and what always stops for a human. ### Harness-agnostic Works with any agent runtime that can follow instructions and run commands — no proprietary orchestrator required. ## Take the tools. The hard part is adoption. Read it, disagree with it, take it — you owe us nothing for any of it. But a method is not a delivery capability. Getting this running against real repositories, real pipelines and a real compliance posture is where the work is, and it is the part we do for a living. If that is the problem you have, tell us what you're building. Help me implement this The method, open source We reply within one business day. If your mail client doesn't open, the address is michal@onedroid.ai.