Complete OpenAI plugin review fixtures

[Aymericr]

OpenAI's public plugin review requires positive cases to include reproducible fixtures and expected result shapes, and negative cases to explain why the plugin should refuse, clarify, or fall back. The existing cross-skill suite had prompts and expected behavior but omitted those reviewer fields.

This follow-up adds the missing material for all cases, includes an initial-submission release-note draft, and makes the validator enforce the required positive and negative fields.

Validation:

• bun scripts/validate-skills.ts
• claude plugin validate . --strict
• git diff --check

This prepares review materials only. It does not submit or publish the plugin.

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Note

Low Risk
Changes are limited to evaluation JSON, release-note copy, and package validation rules; no skill runtime or MCP behavior is modified.

Overview
Aligns the cross-skill publishing eval suite with OpenAI plugin review expectations by adding reviewer-ready metadata on every case and locking it in with validation.

Each positive case in publishing-cases.json now includes expected_result_shape and required_fixture (reproducible setup). Each negative case includes why_not explaining why the plugin must refuse or fall back. A new negative case (furniture-candidate-door-borrowing-negative) covers refusing to treat verify_scene evidence as candidate-specific door access. scripts/validate-skills.ts fails the build if those fields are missing for the matching kind.

Adds plugin-evals/release-notes.md as a 0.1.5 skills-only submission draft (scope, MCP connection expectations, what is not bundled). plugin-evals/README.md and skills/VALIDATION.md are updated to describe the richer suite and the stored release-note draft.

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[pascal]

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Error id: 2a946342-7089-48a2-84e9-670144810dcc