[codex] Add cuVSLAM agent-readiness package#48
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Summary
agent-readiness.yamlcontract for cuVSLAM.AGENTS.md,llms.txt,.codex/skills/cuvslam-agent-readiness/SKILL.md, and.env_example.scripts/agent_readiness_smoke.pyto emit a machine-readablereports/validation_result.jsonartifact..agent/validation_result.schema.json, a GitHub Actions readiness workflow, a root readiness test, and README quick-start guidance.Why
This gives agents and CI a deterministic no-secret readiness lane while preserving a separate GPU validation lane for full cuVSLAM runtime checks after PyCuVSLAM is built or installed.
Validation
python3 -m unittest discover -s tests -p 'test_*.py' -vpython3 scripts/agent_readiness_smoke.py --mode static --output reports/validation_result.jsonPYTHONPATH=src python3 -m agent_readiness_ci.cli --repo /Users/lingq/Documents/Codex/2026-06-24/us/work/cuVSLAM --reports-dir /Users/lingq/Documents/Codex/2026-06-24/us/outputs/cuvslam_pr_validationgit diff --check main..HEADFinal local runner result:
Notes
This PR does not claim a built wheel or GPU runtime pass. The static lane is no-secret and validates readiness scaffolding and Python syntax. The declared GPU lane should run on a CUDA-capable Linux host after PyCuVSLAM is installed or built.