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@Back-Road-Creative

Back Road Creative

AI agent security tooling and technology consulting.

Back Road Creative

Software systems and technology consulting, based in Franklin, North Carolina.

We build in three layers, and this org is where the bottom one lives.

  • Open tooling at the base. The general-purpose pieces of our production systems get pulled out, cleaned up, and published here as standalone repositories — useful on their own, with no obligation to adopt anything else we make.
  • An agent-run engineering practice in the middle. The work is done by AI agents operating under mechanical constraints: gates in the filesystem and in CI that an agent cannot talk its way past, and every change landing as a pull request a human reviews and merges.
  • Products on top. Our own products are built on those two layers. They stay private, but the parts of them that are generally useful do not.

Public right now

rigscore — a configuration hygiene checker for AI development environments. Point it at a project and it reads the files that decide what your agents are allowed to do — governance docs, MCP server configs, container settings, permissions, skill files — then returns a score out of 100 and a list of what to fix, ordered by how badly it would hurt. It runs entirely on your machine and makes no network calls. MIT.

npx github:Back-Road-Creative/rigscore

Also shipped, filed under the areas below:

  • Video toolingkeycut: lossless multi-range video cutting that snaps to keyframes instead of lying about it. redactcam: face and licence-plate redaction for video, with a second pass that proves it landed.
  • GPS and telemetrysun-track: solar position, golden-hour windows, and where a GPS track was at a given instant.
  • Color and imagingpycube-lut: reads and applies Adobe .cube 3D LUTs, HALD CLUTs and 1D tone curves to NumPy images.
  • Agent toolingclaude-batch-runner: declarative parallel agent campaigns with schema-verified results and a cost table. agent-audit: audits the skills, instruction files and workflows your AI agents actually read.

More coming

A couple more areas are still being carved out of our production systems. Not published yet — so these are areas, not links. Each one moves up to the section above as it lands:

  • SEO scoring — dependency-free keyword extraction, readability, and per-platform metadata rules.
  • Static-site security — a hardened header and content-security-policy baseline, with a build step that fails when the policy did not make it into the output.

Nothing ships until it stands alone: its own tests, its own documentation, and no leftover references to the system it came out of. A short honest list beats a long one full of dead links.

How we work

Mechanical enforcement over behavioral rules. If the only thing stopping an agent from doing something destructive is a prompt asking it not to, that is not governance — that is a suggestion. Constraints belong somewhere the agent cannot edit them out of the way.

Write-ups of the practice, and each tool as it ships: headlessmode.com.


📍 Franklin, NC · 🔗 backroadcreative.com · 𝕏 @HeadlessMode

Popular repositories Loading

  1. rigscore rigscore Public

    Configuration hygiene checker for AI dev environments. Scans locally, no external calls.

    JavaScript

  2. .github .github Public

    Organization profile README

  3. pycube-lut pycube-lut Public

    Read and apply Adobe .cube 3D LUTs, HALD CLUTs and 1D tone curves to NumPy images

    Python

  4. keycut keycut Public

    Lossless multi-range video cutting that snaps to keyframes instead of lying about it

    Python

  5. sun-track sun-track Public

    Solar position, golden-hour windows, and where a GPS track was at a given instant

    Python

  6. agent-audit agent-audit Public

    Audit the skills, instruction files and workflows your AI agents actually read

    Python

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