Objective
Bring ml4t-data, its public repository settings, release process, deployed documentation, and
private development sidecar into compliance with the current ML4T ecosystem standards.
Confirmed starting deviations
- PyPI 0.1.3 publishes a generic team identity, incomplete keywords and project URLs, and a stale
README description of the ecosystem.
- Source metadata does not use the canonical author and maintainer identities, description,
keywords, or project URLs.
- The README lacks the complete link and development-gate contract and contains stale or
unsupported claims.
- The release repository does not contain the required one-line
CLAUDE.md import and its root and
nested agent instructions contain detailed, volatile repository and API inventories.
- CI lacks part of the common pull-request gate and the release workflow does not yet implement the
complete commit-bound artifact-manifest and documentation-publication sequence.
- Deployed documentation lacks
ml4t-library, ml4t-version, and ml4t-commit metadata.
- Main-branch protection and repository security settings do not yet satisfy the complete shared
intake and release contract.
- The private
ml4t-data-dev sidecar has no origin and has existing untracked content that must be
classified and preserved while adding the required sidecar topology.
Acceptance criteria
- Source, built wheel, GitHub settings, deployed documentation, and the next authorized PyPI
release agree on the canonical metadata.
QLDM_DATA_ROOT and QldmError remain compatibility aliases with tested runtime deprecation
warnings and documented replacements.
- README installation and quick-start behavior pass from a clean wheel install and all links
resolve.
- Pull requests and releases run the required lint, format, type, test, build, security,
documentation, and ecosystem qualification gates without weakening provider-specific checks.
- Release artifacts are built once, bound to the candidate commit by a digest manifest, published
through trusted publishing only after documentation deployment succeeds, and verified after
publication.
- The sidecar satisfies the private repository topology without losing existing work.
- The full repository quality suite, strict documentation build, package checks, workflow/security
validation, and ecosystem qualification pass.
Tracked by ml4t/ecosystem#13.
Objective
Bring
ml4t-data, its public repository settings, release process, deployed documentation, andprivate development sidecar into compliance with the current ML4T ecosystem standards.
Confirmed starting deviations
README description of the ecosystem.
keywords, or project URLs.
unsupported claims.
CLAUDE.mdimport and its root andnested agent instructions contain detailed, volatile repository and API inventories.
complete commit-bound artifact-manifest and documentation-publication sequence.
ml4t-library,ml4t-version, andml4t-commitmetadata.intake and release contract.
ml4t-data-devsidecar has no origin and has existing untracked content that must beclassified and preserved while adding the required sidecar topology.
Acceptance criteria
release agree on the canonical metadata.
QLDM_DATA_ROOTandQldmErrorremain compatibility aliases with tested runtime deprecationwarnings and documented replacements.
resolve.
documentation, and ecosystem qualification gates without weakening provider-specific checks.
through trusted publishing only after documentation deployment succeeds, and verified after
publication.
validation, and ecosystem qualification pass.
Tracked by ml4t/ecosystem#13.