Runtime validation for AI-generated code
Runtime Profiles CI Gate Smoke Tests
$ rtseal check --profile runtime.profile.yaml
scanning  Dockerfile, requirements.txt, package.xml
profile   python=3.10 · cuda=12.1 · ros=humble
passed    imports, CUDA probe, ROS2 launch smoke
blocked   numpy 2.x drift detected in inference path
sealed    runtime-report.md · policy-report.json

AI-generated patches can pass review and still break the runtime.

RuntimeSeal focuses on the environment layer that usually fails after merge: dependencies, containers, GPU stacks, launch paths, and CI images.

DEP
Dependency drift NumPy, Torch, OpenCV, TensorRT and ABI-sensitive packages.
GPU
GPU stack mismatch Driver, CUDA runtime, torch build and inference backend probes.
ROS
Launch path breakage package.xml, nodes, env setup and launch-time smoke checks.
CI
Image inconsistency Dockerfile, runner image, cache and release gate verification.

Runtime Matrix

A visual gate for the pieces that actually decide whether generated code can run in production.

Pythonversion, imports, wheels, ABI risk
CUDAdriver, runtime, torch build, GPU probe
ROS2package.xml, launch, node imports, env
Dockerbase image, layer drift, entrypoint
CMaketoolchain, flags, linked libraries
CIrunner image, cache, release gates
Modelsweights, runtime backend, warmup probe
ReportsMarkdown, JSON, seal evidence

Designed for fragile, high-value runtimes.

RuntimeSeal is for teams where a small dependency change can break the entire system: robotics, AI inference, GPU stacks, industrial systems, and complex platform engineering.

01

Certified runtime profiles

Define the runtime your team trusts: OS, Python, CUDA, ROS2, TensorRT, package versions, and forbidden dependencies.

02

CI-ready guardrails

Run checks in GitHub Actions, GitLab CI, or your own build pipeline to block risky changes before they merge.

03

Smoke and dry-run tests

Go beyond static rules with import checks, CUDA availability, command checks, and minimal runtime dry-runs.

0-driftlock runtime-sensitive changes
CIdrop into existing pipelines
JSONmachine-readable reports
MDhuman-readable release evidence

Every check leaves evidence.

RuntimeSeal does not just say pass or fail. It creates a release artifact your team can review, archive, and attach to MR or CI output.

runtime-report.md seal: rtseal_7f3a9c
Python
PASS
CUDA
PASS
ROS2
WARN
Docker
BLOCK
CI Gate
SEALED

A simple gate for complex systems.

Start with a CLI and CI gate. Add Agent hooks and MCP integration later when your workflow is ready.

1Inspect

Collect runtime, image, and dependency facts.

2Check

Compare against certified profiles and policies.

3Smoke

Run imports, commands, CUDA, ROS2, and toolchain probes.

4Seal

Produce a report and gate the release decision.

Agent-ready by design.

RuntimeSeal is positioned as the runtime safety layer for AI coding workflows, not just another linter.

Claude Codepre-merge runtime gate
Codexgenerated patch verification
Cursorlocal profile checks
GitLab MRreview evidence card
GitHub CIrelease-blocking report