Homepage no longer waits on /api/onboarding for six starter questions.
Natal answers show the spoken layer first; the Level 2 skeleton sits in a
collapsed 完整分析 block. Wide tables scroll sideways on a phone. Form
inputs are 16px so iOS does not zoom on focus.
Natal answers were opening on parameter tables, and rectification turns were one-sentence legal copy. Centralize user-facing strings, keep representative-minute and question-slot red lines, and stop duplicating the opening collect prompt as a second assistant message.
Co-authored-by: Cursor <cursoragent@cursor.com>
Disable provider thinking so Flash CoT cannot fill max_tokens, raise the
spoken budget to 16384, emit a server-owned step tree, and continue once
when the body ends on length.
Co-authored-by: Cursor <cursoragent@cursor.com>
Consult only copied Sade Sati and never searched trigger dates; V9 score left official minute identity unevaluated. Search a 90-day slow-planet window and run two-candidate snapshots with timeout staying not_evaluated.
Co-authored-by: Cursor <cursoragent@cursor.com>
Web consult already computed Yoga, Arudha, KP, and related layers, then
stripped them before the spoken model. Keep those executed structures in
toModelOutput so answers cannot invent degrees from parametric knowledge.
Co-authored-by: Cursor <cursoragent@cursor.com>
Keep comparative tables in chat, but hide the long audit behind a collapsed control so the reply stays readable.
Co-authored-by: Cursor <cursoragent@cursor.com>
Web answers were thinner than a local Agent calling yinduzhanxing-skill:
theme-subset vargas, no visible audit table, and a prompt that dropped the
invocation contract. Bind the commercial method, compute D1–D60 plus Western
layers, and deliver the same Full-Spectrum checklist.
Co-authored-by: Cursor <cursoragent@cursor.com>
Activating the skill answered with the entrypoint plus a flat listing of every
file in the package, and nothing carried over between requests: the agent is
rebuilt per request, no thread memory is configured, and the replayed history is
plain question/answer text. So the model re-activated on every turn and paid for
that listing every time, twice more whenever a retry opened a fresh model loop.
The method is now read from the hash-verified package and bound into the
instructions, and the activation tools are withdrawn while skill_read stays. The
agents also stopped loading from the working-tree view, whose reference listing
no hash covered - only SKILL.md was compared - so what the model sees is finally
what the registry pinned.
Withdrawing an activation the model could forget also removes the failure it
mostly produced: the contract no longer waits on a model action for method, and
the no-birth-time path has no contract left to repair.
Measured against this package: activation 118,352 bytes, bound method 47,289.
Co-authored-by: Cursor <cursoragent@cursor.com>
Keep skill truth boundaries, but stop asking the model to announce skipped domains or parrot tool JSON.
Co-authored-by: Cursor <cursoragent@cursor.com>
jesse-ux