بنقرة واحدة
dashboard-snapshot
Assemble a dashboard-ready snapshot from the canonical state.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Assemble a dashboard-ready snapshot from the canonical state.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Run the full Co-Scientist pipeline for one research run.
Evaluate whether a hypothesis newly entered the current top-k set and update the convergence counter deterministically.
Choose exactly one concrete evolution strategy for the active evolution round.
Run the assumption decomposition and deep verification review for a hypothesis.
Run the iterative evolution loop from the current persisted run state until convergence.
Generate exactly one child hypothesis that improves logical coherence, causal consistency, and assumption hygiene.
| name | dashboard-snapshot |
| description | Assemble a dashboard-ready snapshot from the canonical state. |
Goal:
Inputs:
CoScientistStaterun_idupdated_atOutputs:
dashboard/SNAPSHOT.jsonContext Loading:
skills/shared-references/artifact-contract.md so the dashboard artifact stays downstream of canonical run artifacts.packages/dashboard_contracts/snapshot_projection.py before rebuilding dashboard/SNAPSHOT.json.packages/dashboard_contracts/dashboard.py when the dashboard-facing snapshot field layout needs to be checked.Execution Contract:
from tools import build_dashboard_snapshot.packages/dashboard_contracts/snapshot_projection.py.Execution Steps:
skills/shared-references/artifact-contract.md, then read packages/dashboard_contracts/snapshot_projection.py.dashboard/SNAPSHOT.json.Completion Rule:
dashboard/SNAPSHOT.json has been rebuilt from canonical state through the shared deterministic builder surface.