Platform Conformance Test Suite¶

Verification tool — instantiates Platform Core / Extension Design

Turns the platform's contracts and invariants into a runnable battery of checks, so an extension can demonstrate — objectively and repeatably — that it honors what the platform requires, before a human ever reviews it.

Platform Conformance Test Suite turns the platform's contracts and invariants into a reusable, runnable body of evidence: a battery of checks any extension can be run through to demonstrate — not merely assert — that it honors what the platform requires. Its defining move is making conformance executable and shared. Instead of every reviewer forming a private opinion about whether an extension behaves, the suite encodes the requirements once — errors, downgrades, migrations, accessibility, performance, adversarial inputs — so that passing is objective, repeatable, and identical for everyone.

Example¶

A government benefits platform lets third-party vendors build the intake forms citizens use to apply. Accessibility here is not a nicety: a form a screen-reader user cannot complete is a form that denies someone benefits. The conformance suite encodes the platform's requirements as runnable checks — every field must expose a programmatic label, keyboard navigation must reach every control, error messages must be announced, response times must stay under budget — tiered on the real WCAG conformance levels,^[1] with AA required of every form and AAA reserved for the highest-stakes flows.

A vendor runs the suite in their own pipeline and gets back not a verdict but evidence: 142 checks pass, three fail, with the exact failing selectors named. They fix and re-run before a human reviewer ever looks — and the reviewer's scarce attention then goes to the judgment the tests cannot make, not to re-checking labels a machine could verify.

How it works¶

Encode each contract and invariant as an executable check, deliberately covering the unhappy paths — errors, downgrades, migrations, accessibility, performance, security, adversarial inputs — not just the happy path.
Tier the checks by risk, so the bar scales with an extension's blast radius rather than applying one undifferentiated standard.
Make the suite self-service, so builders get evidence in their own pipeline before formal review.
Update it after every incident and contract change, so yesterday's escaped bug becomes today's regression test.

Tuning parameters¶

Coverage depth — how far past the happy path the suite reaches. Deeper coverage catches more before release but costs authoring effort and slows every build.
Risk tiering — how sharply requirements scale with consequence. Sharp tiers keep low-risk extensions cheap to ship; flat requirements are simpler but tax everyone equally.
Strictness / flake tolerance — how hard a failing or flaky check blocks. Zero-tolerance gates protect invariants, but a flaky suite that cries wolf gets muted — which is worse than no gate.
Automated / human boundary — how much the suite decides versus routes to review. Pushing more into tests scales, but some requirements (intent, taste, novel abuse) resist encoding and belong to people.

When it helps, and when it misleads¶

Its strength is that it converts "does this extension behave?" from a per-reviewer opinion into shared, repeatable evidence, and shifts the check left so builders self-correct before review ever begins. It makes the platform's requirements concrete instead of folkloric.

Its failure mode is that green tests breed false confidence. A suite only covers what someone thought to encode, and the requirements that matter most — novel abuse, genuine misuse — are the hardest to write as a check, so a passing extension can still be unsafe. The classic misuse is treating a green run as a safety guarantee and standing down runtime vigilance; passing a pre-release checklist never ends runtime responsibility. The discipline that keeps it honest is to keep the suite adversarial and incident-fed, and to treat it as necessary evidence feeding human judgment, never as the judgment itself.

How it implements the components¶

The suite realizes the evidence side of conformance — turning requirements into proof rather than setting or adjudicating them:

platform_compatibility_and_conformance_policy — operationalizes the policy: it is how the evidence is obtained, turning "extensions must preserve X" into a check that shows they do.
platform_security_quality_and_safety_guardrail — supplies the automated, pre-release evidence arm of the guardrail: the adversarial, security, performance, and accessibility cases that demonstrate the minimum controls hold.

It produces evidence but does not exercise the human certification judgment that weighs it (Platform Extension Review and Certification), contain a misbehaving extension at runtime (Platform Sandbox and Capability Permissions), or set the version semantics it tests against (Platform Semantic Versioning and Release Train).

Instantiates: Platform Core / Extension Design — the suite makes the platform's contracts checkable evidence rather than assertion.
Consumes: the contracts exposed by Platform API and SDK, which its checks exercise.
Sibling mechanisms: Platform Extension Review and Certification · Platform Sandbox and Capability Permissions · Platform API and SDK · Platform Architecture Blueprint · Platform Capability Catalog and Portal · Platform Ecosystem Change Council · Platform Extension Health and Dependency Dashboard · Platform Extension Manifest · Platform Plugin and Extension Registry · Platform Semantic Versioning and Release Train

References¶

[1] The WCAG conformance levels (A, AA, AAA) — a real, tiered specification of web-accessibility requirements. They illustrate risk-tiered conformance: a platform can require AA of every extension and reserve AAA for its highest-stakes surfaces, rather than treating conformance as one undifferentiated bar. ↩