opendatadiscovery

Convert raw scanner findings into atomic work items in the backlog. Assigns priority, category, effort, and identifies file conflicts.

Run the feature-advisor query-time subagent over the full ontology to produce a structured impact assessment for a proposed feature or change. Maintainer asks "I want to add X — what's affected?" The agent reads sidecars + concepts.yaml + implicit-adrs.md + refactoring-scopes.md + doc-gaps.md + test-map.yaml + existing adrs/ + live ODD docs (via WebFetch), and emits `lineage/{repo}/feature-walks/{

Run the adr-archaeologist reducer subagent over the per-node enrichment sidecars + concepts.yaml + existing adrs/. Applies the 3-question wisdom test (per Nygard 2011 / adr.github.io / AWS Prescriptive Guidance) to distinguish DELIBERATE architectural decisions from IMPLEMENTATION GAPS. Emits TWO artefacts: `lineage/{repo}/implicit-adrs.md` (real ADR candidates only — backbone decisions, classifie

Run the feature-reflector subagent (Layer 4b — top-down product-owner reflection) over one composed feature flow. Produces `lineage/{repo}/feature-reflections/detail/{F-NNN}.yaml` with a stepped-back product-owner narrative + 5-15 falsifiable user-facing hypotheses + per-hypothesis verdicts (confirmed / contradicted / partial / probe-needed) traced through the implementation chain. Contradictions

Generate or refresh coverage manifest for a scanner — lists ALL items in scope so scans can track progress across sessions.

Run an audit scanner against ODD repositories. Reads scanner definition, picks unscanned items from coverage manifest, writes findings, updates navigation.

Run the doc-gap-finder reducer subagent over the per-node enrichment sidecars + the concept catalog + the live documentation site. Produces or refreshes `lineage/{repo}/doc-gaps.md` — a ranked list of DOC-NNN candidates (broken URLs, missing anchors, code-doc drift, missing pages, coverage gaps, stale pages) with full citations the maintainer triages into the backlog.

Run one or more dynamic-verification probes against a local ephemeral docker-compose mirror of the target system. Captures observation traces as committed artefacts at `lineage/{repo}/probe-runs/{date}-{probe_id}.yaml` and merges measured values back into `feature-flows.yaml`, `test-map.yaml`, and per-sidecar `confidence_per_field` annotations. Local-only execution per APPROACH.md section 5 rule 1

Run the graph-retriever subagent — intelligent, iterative retrieval over the derived graph query layer. The maintainer asks a free-form information-need question ("where is X", "what depends on Y", "which findings concern Z"); the agent constructs a strong query, runs a bounded retrieve→read→judge→refine loop (≤10 iterations) with adaptive traversal, and returns a cited answer set. Emits substrate

Run the file-analyser subagent against one or more substrate nodes to produce per-node semantic enrichment sidecars. Resolves a path / node-id / batch spec to substrate nodes; spawns file-analyser per node; validates the resulting sidecar against the schema; updates the manifest's `enrichment` block.

Quick orientation for a new session — shows system overview, current state, and available actions.