identity-canon/workplans/IDENTITY-WP-0001-statehub-bootstrap.md

id, type, title, domain, repo, status, owner, topic_slug, created, updated, state_hub_workstream_id

id	type	title	domain	repo	status	owner	topic_slug	created	updated	state_hub_workstream_id
IDENTITY-WP-0001	workplan	Bootstrap State Hub integration	canon	identity-canon	finished	codex	canon	2026-06-05	2026-06-05	b7346171-35f6-45bf-b82f-c3703b79b426

Bootstrap State Hub integration

Orthogonal vocabulary and canonical model for identity-related concepts.

Review Generated Integration Files

id: IDENTITY-WP-0001-T01
status: done
priority: high
state_hub_task_id: "3d373474-4258-40f0-9d44-7e26f7ccfc69"

Review INTENT.md, SCOPE.md, AGENTS.md, and .custodian-brief.md. Replace generated placeholders with repo-specific facts where needed.

Completed by reviewing the generated integration files, preserving .custodian-brief.md as generated output, refining SCOPE.md to the actual research-only repository boundary, and correcting AGENTS.md repo identity.

Verify Local Developer Workflow

id: IDENTITY-WP-0001-T02
status: done
priority: high
state_hub_task_id: "c465b751-5799-47a2-b1e0-93017b39b9a7"

Identify the repo's install, test, lint, build, and run commands. Add or refine those commands in the agent instructions so future coding sessions can verify changes confidently.

Completed by adding the local developer workflow to AGENTS.md. The repository is documentation-only: no install, build, runtime service, package manifest, or configured test runner exists. Current verification is rg --files, git diff --check, and State Hub ADR-001 consistency sync after workplan changes.

Seed First Real Workplan

id: IDENTITY-WP-0001-T03
status: done
priority: medium
state_hub_task_id: "2baf0a58-ad4e-4888-a02a-0935bd329c43"

Create the first implementation workplan for the repository's most important next change. After workplan file updates, run from ~/state-hub:

make fix-consistency REPO=identity-canon

Completed by IDENTITY-WP-0002, which follows up on ResearchProposal.md by seeding the first terminology, canon, model, scenario, open-question, and downstream recommendation artifacts.