Add compute rerun feasibility guard

[telemarkdigital-publisher]

/claim #16

Summary

Adds research-compute-rerun-feasibility-guard, a standalone local package for the AI-Powered Research Assistant Suite.

The guard prevents AI assistant reproducibility language from being released until the project has enough compute-resource evidence for a practical reviewer rerun. It checks hardware specs, RAM/VRAM feasibility, runtime budget, checkpoint/resume evidence, container/lockfile/runtime digests, accelerator determinism, large data-transfer fixture availability, paid cloud/HPC disclosure, and long-run resource notes.

Demo Video

research-compute-rerun-feasibility-guard/reports/demo.mp4

The MP4 is a synthetic FFmpeg-rendered slate. It does not capture a desktop, private data, credentials, real manuscripts, or paid services.

Validation

From research-compute-rerun-feasibility-guard:

• npm run check
• npm test
• npm run demo
• npm run video

Repository-level:

• git diff --check

Notes

• No external APIs.
• No paid cloud resources.
• No credentials or private data.
• Synthetic fixtures only.
• Scope is distinct from existing AI-Powered Research Assistant Suite #16 slices around general dependency locks, evidence grounding, external validity, image integrity, statistical/model assumptions, data fabrication, and generic reproducibility attempts. This package specifically gates AI assistant output on practical compute rerun feasibility and resource disclosure.

[telemarkdigital-publisher]

/claim #16

[telemarkdigital-publisher]

@algora-pbc /claim #16