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Feature 028 (Tier 1 parity, in-process) and feature 029 (Tier 2 parity, real Claude Agent SDK / OpenAI) established a working parity-test framework. Open issue #369 tracks scheduled cadence and governance-appropriate API key sourcing for Tier 2.
Time to elevate this from "parity" (implicitly Claude-shaped) to a documented darnit conformance suite: an agent-agnostic contract that any coding-agent-plus-skill implementation MUST honor to be a valid darnit consumer. Onboarding a new client (Codex, Cursor, OpenCode, per #388) then reduces to "run the conformance suite and ship the report."
Scope
Contract: publish the per-control output schema (status, evidence shape, source enum, authority tag, etc.) as pydantic models under a stable module path. Both the MCP tool path and the harness path already produce this shape; the pydantic models codify it.
Suite: absorb feature 028's Tier 1 tests and feature 029's Tier 2 tests into a single tests/darnit/conformance/ tree with a documented invocation contract (pytest -m conformance or similar).
Reports: each run produces a conformance report (pydantic-typed) that a new-client-onboarding PR can attach as evidence.
Non-goals
Certifying non-Anthropic/OpenAI providers on day one (add them one at a time via their own workflow, mirroring the Tier 2 pattern).
Blocking every PR on the full conformance suite (Tier 2's Environment-gated model already handles the review-boundary problem).
Constitution alignment
V. Sieve Pipeline Integrity: the conformance contract IS the sieve's user-facing invariant. Formalizing it makes the invariant testable at the framework boundary, not just at the handler boundary.
III. TOML-First: the contract lives in code (pydantic) and docs, not in TOML -- but every field it references maps 1:1 to a TOML-defined control's declared output.
Summary
Feature 028 (Tier 1 parity, in-process) and feature 029 (Tier 2 parity, real Claude Agent SDK / OpenAI) established a working parity-test framework. Open issue #369 tracks scheduled cadence and governance-appropriate API key sourcing for Tier 2.
Time to elevate this from "parity" (implicitly Claude-shaped) to a documented darnit conformance suite: an agent-agnostic contract that any coding-agent-plus-skill implementation MUST honor to be a valid darnit consumer. Onboarding a new client (Codex, Cursor, OpenCode, per #388) then reduces to "run the conformance suite and ship the report."
Scope
tests/darnit/conformance/tree with a documented invocation contract (pytest -m conformanceor similar).Non-goals
Constitution alignment
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