TextNLPClassifierApp/specs/001-multilingual-entity-classifier/checklists/poc-readiness.md

POC Readiness & Requirements Quality Checklist: Multilingual NLP Entity Inherence Classifier

Purpose: Validate requirement quality, clarity, and completeness for the POC implementation before code execution Created: 2026-08-20 Feature: spec.md | plan.md

Note: This custom checklist is generated by the /speckit-checklist command based on feature context and requirements. Review Ownership: This checklist is a reviewer-owned requirements-quality review artifact. Mark an item [x] only when the reviewer determines the requirements-quality criterion is satisfied. Marker Semantics: [x] means the criterion has been reviewed and satisfied for requirements quality. It does not mean implementation work is complete.

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1. Requirement Completeness & Scope Boundaries

• CHK001 Are the required and optional fields of the ECP Snapshot explicitly specified with defaults? [Completeness, Spec §FR-003]
• CHK002 Is the CLI execution contract completely specified with argument names, flags, and file path requirements? [Completeness, Spec §FR-002]
• CHK003 Are explicit out-of-scope boundaries (no REST API, no live Neo4j, no worker queues) clearly stated to prevent scope creep? [Scope, Spec §Assumptions & Scope]
• CHK004 Is the behavior for missing --output (printing to stdout) explicitly defined? [Completeness, Spec §FR-002]

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2. Requirement Clarity & Decision Semantics

• CHK005 Are the 4 decision categories (DIRECT_INHERENT, CONTEXTUAL_INHERENT, TANGENTIAL, NOT_RELATED) defined with unambiguous conditions? [Clarity, Spec §FR-005]
• CHK006 Is the deterministic derivation rule for is_inherent (true for DIRECT/CONTEXTUAL, false for TANGENTIAL/NOT_RELATED) mathematically unambiguous? [Clarity, Spec §FR-006]
• CHK007 Is the 3-tier hybrid execution order explicitly defined such that clear cases never invoke Tier 2/Tier 3? [Clarity, Spec §FR-004]
• CHK008 Are all standardized error codes (invalid_ecp_json, invalid_markdown, unsupported_language, empty_content, missing_required_field) enumerated? [Clarity, Spec §FR-008]

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3. Requirement Consistency & Alignment

• CHK009 Do the example filenames in spec.md, plan.md, quickstart.md, and tasks.md align consistently without discrepancies? [Consistency, Plan §Project Structure]
• CHK010 Is the benchmark test file name (tests/test_benchmark_24.py) consistent across all documentation artifacts? [Consistency, Quickstart §3]
• CHK011 Are dependencies strictly limited to pytest without mandatory external AI/cloud packages? [Consistency, Plan §Technical Context]

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4. Acceptance Criteria & Measurability

• CHK012 Is the POC benchmark suite quantified with an explicit test count (24 cases = 6 languages × 4 decision types)? [Measurability, Spec §SC-002]
• CHK013 Is the accuracy target (≥ 90% precision) bounded specifically to the controlled 24-case benchmark suite? [Measurability, Spec §SC-002]
• CHK014 Is the execution latency target (< 200ms for Tier 1) testable and quantified? [Measurability, Spec §SC-004]

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5. Scenario & Edge Case Coverage

• CHK015 Are requirements specified for malformed Markdown or empty content files? [Edge Cases, Spec §FR-008]
• CHK016 Are requirements specified for corrupted JSON or missing required ECP fields? [Edge Cases, Spec §FR-008]
• CHK017 Are negative anchor suppression rules specified for homonym disambiguation? [Coverage, Spec §FR-005]
• CHK018 Are graph snapshot relationship matches (weight, scope, relation_type) accounted for in contextual inherence decisions? [Coverage, Spec §FR-003, §FR-005]

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Notes

• Mark items [x] only after review confirms the requirement-quality criterion is satisfied.
• Leave items unchecked when they still require clarification, correction, or reviewer evaluation.
• /speckit-implement reads checklist checkbox state as a gate and must not modify markers.
• checklists/requirements.md has a separate built-in lifecycle maintained by /speckit-specify and /speckit-clarify.