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About ShellFrame AI

Security infrastructure should be built—and proven—as one system.

AI agents are spreading across repositories, tools, CI, cloud systems, and production environments. ShellFrame exists to give those agents identity, least-privilege access, approval paths, and an auditable security boundary.

We apply the same systems thinking to our engineering: understand the whole change, design the contracts, let specialists implement within clear boundaries, and validate the complete feature before release.

PLAN GLOBALLY IMPLEMENT LOCALLY VALIDATE AS ONE SYSTEM

How we build across repositories

The plan is shared. The implementation stays repository-specific.

High-quality code starts before implementation. We maintain living repository context, research each codebase independently, design the cross-repository change as one system, and release only after the full E2E environment passes.

Gate 01

Understand

Establish current truth before proposing a change.

  1. 01

    Living repository index

    Every repository is mapped and its shared context stays synchronized in the documentation repo.

    OUTPUT · CURRENT SYSTEM MAP
  2. 02

    Specialist repo research

    Focused agents inspect the actual code, tests, constraints, and ownership inside each repository.

    OUTPUT · REPO EVIDENCE
  3. 03

    System synthesis

    A lead agent combines the findings, resolves conflicts, and traces dependencies across the stack.

    OUTPUT · UNIFIED CHANGE MODEL
Gate 02

Design

Turn research into contracts and testable work.

  1. 04

    PRD + technical design

    Define user behavior, architecture, interfaces, acceptance criteria, risks, migration, and rollout.

    OUTPUT · REVIEWABLE PLAN
  2. 05

    Per-repository task graph

    Split the design into ordered repo tasks, including contracts, owners, dependencies, and E2E coverage.

    OUTPUT · EXECUTION GRAPH
Gate 03

Deliver

Implement in parallel, then prove the complete feature.

  1. 06

    Coordinated implementation

    Repo agents execute scoped tasks in parallel under one shared feature-branch name across repositories.

    OUTPUT · ALIGNED REPO CHANGES
  2. 07

    Full-system E2E

    A dedicated E2E repo builds the real system and runs the scenarios designed with the implementation plan.

    OUTPUT · RELEASE EVIDENCE
  3. 08

    Fix loop → release

    Failures return to the owning repo. The system is rebuilt and retested until E2E passes, then published and deployed.

    OUTPUT · ONE VERIFIED FEATURE
Living context Repository evidence PRD + technical design Full-system E2E Publish + deploy

What we believe

Evidence is more useful than confidence.

Plans are tied to repository findings. Technical designs define contracts. E2E tests reproduce the real system. Release decisions come from the evidence those stages produce.

OPEN FOUNDATION

Start where people can inspect the work

AgentSecure’s community scanner and security boundaries are public and testable.

LOCAL-FIRST

Keep sensitive context close to its owner

Source, credentials, and local security evidence do not need to become cloud prompt material.

See the work

Inspect the open-source foundation—or test your own repository.

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