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Resolve dashboard links for one Co-Scientist run from Codex.
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Basierend auf der SOC-Berufsklassifikation
| name | co-scientist-dashboard |
| description | Resolve dashboard links for one Co-Scientist run from Codex. |
Goal:
Expected input:
runs/test1Execution steps:
Run:
python -m tools.host.project_cli dashboard <run-dir>
Read the CLI JSON result.
Read runs/<run_id>/dashboard/LINKS.md and runs/<run_id>/dashboard/LINKS.json when present.
Use the CLI JSON result as the canonical ready-link resolution surface for this run.
Return links.dashboard as the primary dashboard URL, include the deep links under links.*, and point to runs/<run_id>/dashboard/LINKS.md as the human-readable dashboard receipt.
If runtime.status is still starting, tell the user that the dashboard is still booting, point them to runs/<run_id>/dashboard/LINKS.md, and include the retry command:
$co-scientist-dashboard <run-dir>
Rules:
LINKS.md as the human-readable receipt and LINKS.json as the machine-readable receipt.start, run, or resume only returned background bootstrap status.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.
Assemble a dashboard-ready snapshot from the canonical state.
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.