spec-agents-statistics (stat_fabric)
Statistics domain pack for agent-fabric: deterministic components summary, linear_model, anova,
time_series, pca, clustering and the pipelines exploratory_analysis, experiment_analysis, full_study. Formulas are built from
validated column names; no model-written code is executed. Also provides StatsRulePlanner (planner backend stats_rules, no LLM).
Status: pre-release. Until the first PyPI release, install a wheel from the GitHub Releases or use
uv sync --all-packagesin a checkout; thepip installlines below are the PyPI names.
Names
| PyPI distribution | spec-agents-statistics |
| Import name | stat_fabric |
| Directory in the monorepo | packages/statistics |
| Release tag / PR scope | statistics-vX.Y.Z / statistics |
The distribution is named spec-agents-statistics because the shorter names are taken on PyPI; the import name and the entry point do not change.
Install
pip install spec-agents-statistics # pulls spec-agents-core, pandas, scipy, statsmodels, scikit-learn
The pack registers as the statistics domain via the agent_fabric.domains entry point:
from agent_fabric import build_registry
registry = build_registry(discover=True) # or build_registry([stat_fabric.domain.register])
Each component's contract and guidance is a SKILL.md under stat_fabric/skills/.
Metadata
Release files for spec-agents-statistics 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| spec_agents_statistics-0.2.1.tar.gz | 26.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| spec_agents_statistics-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 61.5 kB
Release files / spec_agents_statistics-0.2.1.tar.gz
| Download URL | spec_agents_statistics-0.2.1.tar.gz |
|---|---|
| Size | 26.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / spec_agents_statistics-0.2.1-py3-none-any.whl
| Download URL | spec_agents_statistics-0.2.1-py3-none-any.whl |
|---|---|
| Size | 34.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
58d655708af56f090891bdce726c1f4fe404c05d629e70961dbb9fd15a77f99f
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 2, 2026.
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