dcc_capabilities

<p>Returns a versioned, deterministic description of every public
capability, rule type, action type, and input format, plus the
operations DCC deliberately does not support. General-purpose callers
(including AI systems) can query it to discover what is Stable,
Experimental, or Planned before building a pipeline. The <code>status</code>
of each feature reflects the implemented state of the installed
package, not a roadmap.
Contract version 1.2 identifies invalid-numeric detection, declared YAML IDs,
terminal dispositions, and atomic run publication as Stable capabilities.</p>

Rule-driven, auditable cleaning of survey and assessment
response data, implementing the WeianData Detect-Execute-Report
workflow. Provides a multi-format, multi-encoding input layer
(CSV, 'Excel', 'SPSS', 'Stata', 'SAS', Parquet, JSON), the
dcc_data container with a provenance chain, level-0 structural
diagnostics, five built-in response-quality detectors (missing
items, straight-lining, response time, trap items, score
anomalies), a declarative YAML rule engine, an execution engine
with a cell-level audit log, answer-key scoring, multi-form to
master item bank mapping, a normalized report model rendered as bilingual
staff workbooks and HTML, complete statistical bundles, and versioned
machine JSON/JSONL with findings-to-changes reconciliation,
cell-level lineage tracing, and
manifest-based one-command reproduction. Includes a protected bilingual
strict project workbook and matching JSON contract with cell-addressed
validation, non-mutating preflight, preview-first execution, and localized
staff guidance. All formally supported input backends install with the
package; PDF is optional rather than a fixed report output.

dcc_capabilities: Machine-readable DCC capability document

Description

Usage

Arguments

Value

See Also

Examples