fix(js): render GIF terminal artifacts on Node.js

[konard]

Summary

• normalize the gifenc dynamic import for both Node.js CommonJS interop and Bun named exports
• add a Node-native artifact regression test that verifies a valid GIF is written
• run the regression test on the existing Node 20, 22, and 24 CI matrix
• add a patch changeset for the JavaScript package

Reproduction

On Node 20.20.2, calling writeTerminalArtifacts (or captureTerminal with artifactDirectory) failed before this change with:

TypeError: GIFEncoder is not a function
    at renderGif (.../src/terminal-artifacts.mjs:429:15)

The new Node-native test reproduced that exact failure before the implementation change.

Automated verification

• node --test js/tests/node-terminal-artifacts.mjs
• bun test js/tests/terminal-capture.test.mjs --timeout 10000
• bun test js/tests/ --timeout 10000 (783 passed, 5 skipped, 0 failed)
• bun run lint
• bun run format:check
• bun run check:duplication
• bun scripts/validate-changeset.mjs

Fixes #183

[konard]

CI note: the final Windows/Bun job has twice reproduced the repository's pre-existing issue #170 cleanup race, unrelated to this GIF import change.

• Failing job: https://github.com/link-foundation/command-stream/actions/runs/30195503601/job/89776415817
• Failure: shell-settings.test.mjs expected the command's real exit code 5 but received synthetic SIGTERM exit 143
• The repository's js/tests/issue-170-cleanup-race.test.mjs explicitly documents this exact Windows/Bun failure mode and historical exit-143 signature
• All Node 20/22/24 artifact regression jobs pass, as do lint, changeset validation, Ubuntu Bun, macOS Bun, and the other 602 Windows tests
• The immediately preceding run on the implementation-equivalent SHA passed Windows/Bun: https://github.com/link-foundation/command-stream/actions/runs/30195422227/job/89775995607

I am rerunning only the failed job once more. Fixing the global process-cleanup race would be separate scope from issue #183.

[konard]

🤖 Solution Draft Log

This log file contains the complete execution trace of the AI solution draft process.

💰 Cost estimation:

• Model: GPT-5.6 Sol
• Provider: OpenAI
• Public pricing estimate: $10.012219

📊 Context and tokens usage:

• 200.7K / 200K (100%) input tokens, 17.8K / 128K (14%) output tokens

Total: (200.7K + 7.2M cached) input tokens, 17.8K output tokens, $10.012219 cost

🤖 Models used:

• Tool: OpenAI Codex
• Requested: gpt-5.6-sol
• Thinking level: low (~7999 tokens)
• Model: GPT 5.6 Sol (gpt-5.6-sol)

📎 Log file uploaded as Gist (2394KB)

• View complete solution draft log

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[konard]

🎉 Auto-merged

This pull request has been automatically merged by hive-mind.

• All CI checks have passed

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Auto-merged by hive-mind with --auto-merge flag