Jingzao Image Forge v1.6.2

Fixed

• Replaced generic image-creation discovery wording with Jingzao-specific triggers: visual_generation_spec, reference-aware prompt compilation, artifact cleanup, style learning, and multi-frame continuity.
• Aligned the Codex UI short description with the structured-spec and clean-prompt role.
• Renamed the deterministic metadata test so it claims only the observed host length guard; real adoption remains a fresh-task test.

Fresh-task evidence

• v1.6.1 baseline: the unnamed structured cleanup request selected other image Skills and missed Jingzao.
• v1.6.2 candidate at 38d721e: the identical unnamed request selected jingzao-image-forge first, then optional cleanup/material helpers.
• The candidate produced a valid no-reference clean_reset specification; validate_spec, compile_prompt, and prompt_lint passed with prompt_review ready and no generated image.
• Independent cold review marked the prior discovery P1 RESOLVED.

Quality boundary

• No prompt compiler, cleanup, oil-spot/noise, scene-redraw, reference, template, example, or production behavior changed.
• One successful discovery smoke does not prove every natural-language variant.

Verification

• 219 deterministic tests pass.
• Ruff 0.16.3 and Skill structural validation pass.
• Python 3.10 GitHub Actions pass on merged main commit 8e036f0.
• Release ZIP round-trip matches all 96 tracked files and modes.

Artifact

• jingzao-image-forge-v1.6.2.zip
• SHA-256: 8eef296e680ed9c7c681788046034b7629302607f4b9736a2cabd87ffa40c81a