efrazer-oai dc23c7bcc8 fix: parse compact release metadata in installer (#31667)
# Summary

GitHub's latest-release endpoint can return compact, single-line JSON.
The standalone installer treated release metadata as line-oriented text,
so those responses could make asset lookup fail even though the
requested assets were present.

The regression was introduced by
[#31056](https://github.com/openai/codex/pull/31056). That change reused
the `/releases/latest` metadata response for both version resolution and
asset lookup, exposing the existing formatting-sensitive asset parser to
compact responses from that endpoint.

This change parses the release metadata once with a one-pass POSIX awk
scanner. The scanner tracks JSON strings and nesting, extracts the root
release tag plus direct asset name/digest pairs, and produces the same
result regardless of whitespace or object field order. It uses POSIX
`fold` to bound awk record sizes so compact responses stay fast across
awk implementations.

Fixes #31520.

## Changes

- replace line-oriented release metadata matching with structure-aware
parsing
- reuse the parsed metadata for latest-version and asset-digest lookup
- add regression coverage for compact JSON, reordered fields, nested
decoys, and JSON-looking release text

## Design decisions

- Keep the installer dependency-free by using standard POSIX tools
already required by the shell installer.
- Parse only the GitHub release fields the installer consumes, in one
pass, instead of vendoring a general JSON library.
- Preserve asset-object boundaries so nested or string-encoded `name`
and `digest` fields cannot be mistaken for release assets.

## Testing

- Tests: focused installer suite locally and on Linux.
- Smoke tests: real pretty and compact GitHub release metadata,
latest-release resolution, and checksum-asset selection.
- Portability: macOS awk plus Linux gawk, mawk, and nawk.
- Stress coverage: randomized formatting and field order, adversarial
nested/string content, and a synthetic 2,000-asset compact response.
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