Update to Clara

{
  "description": "Use when a user wants Clara to compare completed retailer signals with a brand's current presence at that retailer and the brand's owned catalogue, create a private local HTML Brand Fit report, or ask whether that report is correct.",
  "included_files": [
    {
      "relative_path": "agents/openai.yaml",
      "size_in_bytes": 306
    }
  ],
  "name": "brand-fit",
  "skill_md_contents": "---\nname: brand-fit\ndescription: Use when a user wants Clara to compare completed retailer signals with a brand's current presence at that retailer and the brand's owned catalogue, create a private local HTML Brand Fit report, or ask whether that report is correct.\n---\n\n<!-- CLARA_OPENAI_ONBOARDING_BEGIN -->\nOnboarding is optional. Continue ordinary professional work immediately,\nincluding direct specialist invocation, without checking or completing a local\nonboarding profile. Missing, unfinished, inaccessible or corrupt onboarding state,\nor unavailable voice/window controls, must never block ordinary work. Do not\nautomatically start, resume or repeatedly offer onboarding.\nOnly for a user-requested tutorial or a native teaching handoff, read\n`../clara/references/local-onboarding.md`. A verified paired lesson worker\nexecutes only its bound lesson and token; never bypass tutorial validation.\nTutorial profiles, progress, examples and feedback remain local; never send a\nchange request, stamp a tutorial receipt or call hosted interviews for a tutorial.\nCurrent user requests take precedence over saved preferences.\n<!-- CLARA_OPENAI_ONBOARDING_END -->\n\n# Brand Fit\n\nAfter substantive use of this workflow, read and follow the `Plugin Improvement Feedback` section in `../clara/SKILL.md`.\n\nResolve `../../modules/attribute-reporting` from this skill directory when it\nexists; otherwise resolve `../../../attribute-reporting` in the repository.\nRead that component's `skills/brand-fit/SKILL.md` completely and follow it.\nTreat the resolved component root as a read-only execution root for its scripts,\nrequirements, references, and vendored modules. Run component helpers with that\nroot as the working directory, but create every user run and artifact outside\nthe resolved component root, every Git repository, and every plugin cache.\nNever place run artifacts in the packaged component.\n\nBefore running component helper scripts, delegate the dependency check from\nthe Clara root:\n\n```bash\npython scripts/check_dependencies.py --module attribute-reporting\n```\n\nBrand Fit is distinct from Retailer Signals. Start only from a completed,\nchecked Retailer Signals analysis, then compare its signals with both the\nbrand's current presence at the selected retailer and the brand-owned catalogue\nin the stored database snapshot. Do not describe that snapshot as a live shelf\ncheck. The local Retailer Signals report is not uploaded to the server.\n\nCodex owns semantic interpretation, report authorship, and independent review.\nThat model work uses the user's existing ChatGPT plan and needs no separate API\nkey. Product images and the HTML report remain local unless the user explicitly\nasks to share a finished output.\nDo not register the report in an advisory case, convert it to a presentation, or\npublish it unless the user separately asks for that follow-on work.\n"
}