- tools_pc/bundle-linux.sh: package a Linux build (exe + README + licenses +
prepare-assets) as a .tar.gz. Mirrors bundle-win.sh's ROM / size guards and
prepare-assets assembly. No shared libs bundled — the generated README tells
the user to install SDL2 / zlib / libGL from their distro.
- tools_pc/dist/README.md.in: made OS-neutral via @PLATFORM@ / @EXE@ / @DEPS@ /
@LICENSE_EXTRA@ tokens; refreshed the known-issues list (dropped the stale
"ladders don't work" line — D177 fixed M-36; added black sky + missing HUD
weapon icon).
- .github/workflows/ci.yml: linux-build now packages + uploads the Linux
bundle; the release job attaches both platforms to the draft pre-release.
- .github/release-notes.md: rewritten for the two-platform NTSC-U alpha with
the prepare-assets step and current known issues.
Alpha scope: NTSC-U only, one-time prepare-assets step (Part A launcher and
Part B native converter from release-dropin-rom-plan.md remain follow-ups).
Claude-Session: https://claude.ai/code/session_01V4pK3pT83YnPsBp3Ey4RP2
- tools_pc/bundle-win.sh: package a Windows build for distribution — exe +
MinGW/SDL2/zlib runtime DLLs + README + license texts, into
dist/goldeneye-pc-port-<ver>-win64/{,.zip,.zip.sha256}. Hard-fails if a
ROM image or an oversized blob lands in the bundle; verifies the DLL
closure with ldd.
- tools_pc/dist/README.md.in: the bundled README template (ROM-supply
instructions, run steps, controls, legal), @VERSION@-substituted.
- CI: build tag trigger (v*); windows-build now packages the bundle every
run and uploads it; new release job (tags only, contents: write scoped
to it) attaches the bundle to a DRAFT pre-release for a human to
smoke-test and publish.
- README: Download section + Legal reworded to cover pre-built binaries
(engine only, no game data, permissive runtime libs bundled with their
licenses).
- .gitignore: /dist/ (root bundle output; tools_pc/dist/ template stays
tracked).
Cutting a release: tag vX.Y.Z-alpha, push; CI builds + drafts the
pre-release; smoke-test with a ROM, then Publish.
Claude-Session: https://claude.ai/code/session_01GULf6knbsqfsnW39tMr9WT
James Dansereau