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privacy/workflows/claim-basis-map.json

4.02 KB · Oct 3, 2026 · 06:30 UTC

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{
  "schema_version": 1,
  "workflow": "claim-basis-map",
  "display_name": "Claim Basis Map",
  "governed_paths": [
    "skills/claim-basis-map/SKILL.md",
    "skills/claim-basis-map/scripts",
    "scripts/self_relaunch.py",
    "scripts/managed_python_runtime.py",
    "scripts/_managed_python_runtime.py",
    "requirements.txt",
    "components.json"
  ],
  "codex_context": {
    "policy": "real_professional_data_may_enter_codex_context",
    "classes": [
      {
        "id": "deck-claims-and-sources",
        "purpose": "Capture or audit the basis for claims in a presentation",
        "content": "PPTX visible text and shape names; slide titles and claims; source titles, locators and URLs; calculation inputs and methods; reasoning inputs, assumptions, and cross-slide claim references; and, when the deck belongs to a Clara case, stable claim and evidence receipt identifiers, dependency edges, source hashes, and exact hash-bound output appearances written back to the shared advisory registers"
      },
      {
        "id": "drift-review",
        "purpose": "Identify changed, missing, moved, untracked, or unsupported claims",
        "content": "Generation-time claim snapshots, current-deck text, matched support, drift statuses, ungrounded items, shared-register appearance bindings, and required semantic refresh decisions"
      },
      {
        "id": "complete-current-text-navigation",
        "purpose": "Expose text omitted by untracked-claim heuristics for active-model review",
        "content": "The current-deck audit retains every supplied extracted text item, including short headlines, numeric labels and footnotes, with source slide/shape metadata. Explicit coverage metadata states that semantic review has not been performed and non-text visual meaning requires separate inspection. This expands review visibility, not automatic materiality classification or anonymisation."
      }
    ]
  },
  "ordinary_codex_model_processing": {
    "scope": "content_supplied_to_the_codex_model",
    "account_arrangement": "user_selected_chatgpt_or_codex_account",
    "separate_clara_recipient_or_arrangement": false,
    "automatic_anonymisation": false,
    "local_filter_or_aggregate": "only_when_useful_for_professional_work",
    "plan_visibility": "not_inspected_or_enforced_by_clara"
  },
  "codex_account_boundary": {
    "selected_by": "firm_or_user",
    "clara_runtime_enforcement": "none",
    "review_timing": "before_professional_use_and_when_account_or_terms_change",
    "review_items": [
      "account_or_workspace_plan",
      "model_training_data_controls",
      "retention_and_deletion_controls"
    ],
    "per_case_record_required": false
  },
  "hosted_service_ids": [],
  "boundaries_beyond_codex": [
    {
      "id": "direct-cli-python-dependency-setup",
      "kind": "public_research",
      "destination": "Python Package Index (PyPI) or the index selected by the user's Python configuration",
      "purpose": "Prepare the declared Python dependencies before running a documented workflow CLI",
      "content": "Published package requirements and ordinary package-index request metadata. Existing workflow arguments are forwarded to a local Python child; they are not included in the pip install command.",
      "optional": false,
      "requires_confirmation": false,
      "controls": [
        "The direct CLI selects published core or registered component requirements before importing workflow modules.",
        "The launcher preserves the working directory and arguments in the local child process; this does not redact arguments or change the workflow data boundary.",
        "An existing matching runtime is reused. Setup installs into a fingerprinted user-scoped environment and propagates failure; it does not install into the case folder."
      ]
    }
  ],
  "security_controls": [],
  "review": {
    "reviewed_at": "2026-09-15",
    "reviewed_by": "privacy-surface-review",
    "basis": "external_boundary_review_of_workflow_source",
    "source_fingerprint": "2b1613947e1eb8365a499f6053e9da6fa0dfa19665fcc2c50cf5aff3164604d2"
  }
}

SHA-256: 64169ebcb23a23ec0083e7700ee01ef2b86ed9b4c4bd686bfe0c93361b1bb76d