docs: clarify repository scope boundary

README.md

@@ -1,11 +1,11 @@
-# scientific-computing-toolkit
-
+# scientific-computing-toolkit
+
 This repository is a portfolio space for scientific-computing infrastructure,
 systems tooling, and supply-chain-security experiments that favor deterministic
 behavior, auditable outputs, and clear release evidence.
-
+
 ## Current Flagship Tool
-
+
 [`tools/sbom-diff-and-risk`](tools/sbom-diff-and-risk/README.md) is the
 current flagship tool. It compares SBOMs and dependency manifests, produces
 JSON, Markdown, and SARIF review artifacts, supports local policy checks, and
@@ -19,29 +19,38 @@ evidence.
 ## Supporting Spatiotemporal Diagnostics Project
 
 [`projects/precipitation-anomaly-diagnostics`](projects/precipitation-anomaly-diagnostics/README.md)
-is a public-safe scientific-data diagnostics mini-lab. It demonstrates a
-reproducible workflow for precipitation anomaly preprocessing, EOF analysis,
-representative-period selection, composite analysis, and reviewer-friendly
-scientific interpretation.
+is the compact reviewer-facing mini-lab. It demonstrates a reproducible workflow
+for precipitation anomaly preprocessing, EOF analysis, representative-period
+selection, composite analysis, and reviewer-friendly scientific interpretation.
 
 [`projects/precipitation-anomaly-diagnostics-lab`](projects/precipitation-anomaly-diagnostics-lab/README.md)
-is a companion public-safe climate-diagnostics lab focused on configurable
-precipitation anomaly diagnostics, EOF/PC analysis, composite circulation
-checks, correlation/regression utilities, and explicit data-redistribution
-boundaries.
+is the extended lab variant with configurable diagnostics utilities. It expands
+the workflow with EOF/PC analysis, composite circulation checks,
+correlation/regression utilities, MCA-style coupled-field diagnostics, synthetic
+demonstration charts, and explicit data-redistribution boundaries.
+
+## Scope Boundary
+
+`sbom-diff-and-risk` remains the flagship release-facing tool in this repository.
+
+The precipitation diagnostics projects are supporting scientific-data mini-labs.
+They demonstrate reproducible analysis workflows, data-policy boundaries, and
+reviewer-friendly interpretation, but they are not part of the
+`sbom-diff-and-risk` release surface and should not be read as a separate
+meteorology portfolio.
 
 ## Why This Repository Exists
 
 Scientific and security-oriented engineering often needs small, inspectable
 tools that make evidence easier to review. This repository collects projects
 that emphasize:
-
-- deterministic local analysis
-- machine-readable security and review output
-- conservative policy checks
-- explicit provenance and release verification boundaries
-- documentation that separates tool behavior from distribution evidence
-
+
+- deterministic local analysis
+- machine-readable security and review output
+- conservative policy checks
+- explicit provenance and release verification boundaries
+- documentation that separates tool behavior from distribution evidence
+
 ## Project Map
 
 Project:
@@ -54,7 +63,7 @@ What to review:
 Deterministic SBOM/dependency diffing, JSON/Markdown/SARIF output, local policy
 checks, policy decision explainability, optional provenance and Scorecard
 evidence.
-
+
 Useful entry points:
 
 - [`sbom-diff-and-risk` README](tools/sbom-diff-and-risk/README.md)
@@ -68,7 +77,7 @@ Project:
 [`precipitation-anomaly-diagnostics`](projects/precipitation-anomaly-diagnostics/README.md)
 
 Status:
-Public-safe mini-lab.
+Public-safe compact reviewer-facing mini-lab.
 
 What to review:
 Sanitized climate-diagnostics workflow, small derived example artifacts,
@@ -84,7 +93,27 @@ Useful entry points:
 - [Methodology](projects/precipitation-anomaly-diagnostics/docs/methodology.md)
 - [Inference framework](projects/precipitation-anomaly-diagnostics/docs/inference-framework.md)
 - [Example report](projects/precipitation-anomaly-diagnostics/reports/example-report.md)
-
+
+Project:
+[`precipitation-anomaly-diagnostics-lab`](projects/precipitation-anomaly-diagnostics-lab/README.md)
+
+Status:
+Public-safe extended lab variant with configurable diagnostics utilities.
+
+What to review:
+Detailed calculation methods, inference boundaries, configurable analysis
+scripts, synthetic chart generation, and a synthetic inference report.
+
+This extended lab is a supporting scientific-data project and is not part of
+the `sbom-diff-and-risk` release surface.
+
+Useful entry points:
+
+- [`precipitation-anomaly-diagnostics-lab` README](projects/precipitation-anomaly-diagnostics-lab/README.md)
+- [Calculation methods](projects/precipitation-anomaly-diagnostics-lab/docs/calculation-methods.md)
+- [Inference analysis](projects/precipitation-anomaly-diagnostics-lab/docs/inference-analysis.md)
+- [Synthetic inference report](projects/precipitation-anomaly-diagnostics-lab/examples/synthetic-inference-report.md)
+
 ## Verification and Release Evidence
 
 `sbom-diff-and-risk` has separate verification surfaces. They are related, but
@@ -101,18 +130,18 @@ they do not prove the same thing.
 
 The TestPyPI Trusted Publishing dry-run has been validated. Production PyPI
 publishing is intentionally deferred.
-
+
 ## What This Repository Does Not Claim
-
-- It does not claim that `sbom-diff-and-risk` is a vulnerability scanner.
+
+- It does not claim that `sbom-diff-and-risk` is a vulnerability scanner.
 - It does not claim to resolve CVEs, advisories, exploitability, or package
   safety verdicts.
-- It does not treat optional provenance or Scorecard evidence as proof that a dependency is safe.
-- It does not imply that production PyPI publishing is enabled.
+- It does not treat optional provenance or Scorecard evidence as proof that a dependency is safe.
+- It does not imply that production PyPI publishing is enabled.
 - It does not treat GitHub release verification, GitHub workflow artifact
   attestations, and PyPI Trusted Publishing provenance as interchangeable
   evidence.
-
+
 ## Reviewer Quick Path
 
 For `sbom-diff-and-risk`, use the
@@ -129,13 +158,13 @@ the review question:
 4. Release evidence:
    use the [verification guide](tools/sbom-diff-and-risk/docs/verification.md)
    and [release provenance docs](tools/sbom-diff-and-risk/docs/release-provenance.md).
-
-## Status
-
+
+## Status
+
 - Current flagship release: `sbom-diff-and-risk` `v0.9.0`
 - GitHub Release assets: available for `v0.9.0`
 - TestPyPI Trusted Publishing dry-run: completed
 - Production PyPI publishing: intentionally deferred
 
 [release-notes-v090]: tools/sbom-diff-and-risk/RELEASE_NOTES_v0.9.0.md
-
+

projects/precipitation-anomaly-diagnostics-lab/README.md

@@ -2,6 +2,14 @@
 
 This repository is a public-safe scientific-computing mini-lab for gridded climate diagnostics. It focuses on precipitation anomaly analysis, climatology and standard deviation fields, representative-year selection, EOF/PC diagnostics, composite circulation analysis, correlation and regression checks, trend diagnostics, and MCA-style coupled-field analysis.
 
+Repository role:
+This is the extended precipitation diagnostics lab variant with configurable
+diagnostics utilities. It is a supporting scientific-data project inside
+`scientific-computing-toolkit`, not part of the `sbom-diff-and-risk` release
+surface and not a separate meteorology portfolio. For the compact
+reviewer-facing version, see
+[`projects/precipitation-anomaly-diagnostics`](../precipitation-anomaly-diagnostics/README.md).
+
 The project is maintained under the pseudonymous technical identity `stacknil`. It is not an official institutional project and does not include raw course materials, restricted datasets, or personal identifiers.
 
 ## Workflow

projects/precipitation-anomaly-diagnostics/README.md

@@ -3,6 +3,12 @@
 A compact spatiotemporal diagnostics module for reproducible precipitation
 anomaly analysis.
 
+Repository role:
+This is the compact reviewer-facing precipitation diagnostics mini-lab. It is a
+supporting scientific-data project inside `scientific-computing-toolkit`, not
+part of the `sbom-diff-and-risk` release surface and not a separate meteorology
+portfolio.
+
 This project demonstrates how to turn gridded scientific data into a
 reviewable analysis workflow: