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Prepare Signal Forge for public portfolio release - #2
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Summary
Prepare the maintained backend application for portfolio publication under the Signal Forge identity, with its security model, concurrency limits, deployment assumptions, and media-processing boundary documented.
Completed
SECURITY.mdcovering secrets, ownership boundaries, process-local state, deployment constraints, and responsible reportingPUBLICATION.mdwith project scope, current boundaries, and a clean-history publication strategy.env.examplewith no usable secrettools/publication_guard.pyto enforce release invariants and block committed media/ZIP artifactspip-audit, Python syntax validation, JavaScript syntax validation, and pytestVerification
pip-audit: pass — no known vulnerabilities foundCurrent boundaries
yt-dlpas the media adapterRelease path
The legacy history contains obsolete 2024-era browser-automation experiments that are unrelated to the maintained application. For the public portfolio, keep this repository as the private development archive and publish the maintained Signal Forge tree in a clean
signal-forgerepository with fresh history.Use synthetic/demo data in public screenshots.