Plugin Value Lab 0.5.0

Plugin Value Lab 0.5.0 — executable scientific evidence

Scientific artifacts can contain plausible numbers while using the wrong independent unit, omitting tests or reporting an unsupported conclusion. Version 0.5.0 adds a bounded replicate_effect verifier that recomputes scientific results from frozen independent-unit measurements.

• Independent units and design: reject repeated donors in independent designs, incomplete pairs, completely confounded batches and declared training/evaluation overlap. Permutations preserve blocks or pairs.
• Recomputed outcomes: compare treatment-control effects, exact two-sided p values, complete-family BH values, sample counts, frozen-threshold decisions and leave-one-unit effect ranges. Correct non-significant findings are valid outcomes.
• Portable evidence: design/data commitments join replay dependency preflight. Bundle identity, environment checks and field-level differences distinguish recomputation from complete or scientifically valid evidence.
• Cross-host and methodology: unified Codex/Claude archive verification; requested settings are not observations; process checks do not add outcome points; unsupported acceptance and over-refusal have separate limits; unknown costs remain unknown.
• Value measures: success uplift, rescued and harmed pairs, family-level gains, time and cost per successful task; prospective task-family sample planning remains distinct from a confirmatory test.
• Release consistency: Python/runtime/plugin versions are all 0.5.0; Git preserves frozen bytes across operating systems. Research/team extensions remain opt-in. Epistemic Plugin Arena remains future outlook.

Install

Choose the marketplace ZIP for the Codex/Claude-compatible repository layout, the Agent Plugins ZIP for the portable standard manifest, or the Python wheel. Extract ZIP files before loading them. Python 3.11+ is required; install the mcp extra for MCP and science for h5ad/SciPy support. Core deterministic verification uses the standard library.

python -m pip install "plugin_value_lab-0.5.0-py3-none-any.whl[mcp,science]"

This command installs a downloaded wheel; this release does not imply PyPI publication. See attached checksums and the repository installation guide.

Evidence boundaries

Tests include adversarial fixtures and independent SciPy numerical checks. Public examples are synthetic teaching material, not a hidden benchmark. The verifier accepts already prepared unit-level measurements; it does not validate normalization, raw-count models, biological identity, exchangeability or hidden training exposure. Exact enumeration has fixed resource limits and no silent approximate fallback.

No new real model trial, cross-host benefit study, external expert review or biological validation is claimed. The historical native pilot remains evidence-limited and is preserved separately in VERIFICATION.json. Computational agreement does not establish scientific truth or plugin efficacy.

Release verification

403 tests passed with no skips in each Windows/Linux and Python 3.11/3.13 CI job. Published assets were built by the successful Ubuntu/Python 3.13 job, checked member-by-member against commit 95321ac20d83038796318bec4c369d6d2e333363, and the hosted wheel was independently installed and executed outside the source directory.

Exact-commit CI. See release-evidence.json and SHA256SUMS.txt for asset provenance and hashes.