co-scientist-runlisted

# co-scientist-run Goal: - Bootstrap one existing Co-Scientist run and continue with the canonical pipeline. Expected input: - one run directory such as `runs/test1` - or one compatibility config path such as `runs/test1/config.yaml` Execution steps: 1. Resolve the run directory or config path relative to the repository root. 2. Run: ```bash python -m tools.host.project_cli run <run-target> --skill co-scientist-pipeline ``` 3. Read `runs/<run_id>/state/HOST_AGENT_HANDOFF.json`. 4. Read the CLI JSON result and the run-local dashboard receipt artifacts: - `runs/<run_id>/dashboard/LINKS.md` - `runs/<run_id>/dashboard/LINKS.json` 5. If the CLI JSON contains `dashboardLinks`: - If `dashboard.status` is `running`, return `dashboardLinks.dashboard` as the primary dashboard URL and include the deep links. - If `dashboard.status` is `starting`, immediately run: ```bash python -m tools.host.project_cli dashboard <run-dir> ``` - Read the refreshed CLI JSON result plus `runs/<run_id>/dashboard/LINKS.md`. - If `runtime.status` is now `running`, return the refreshed `links.dashboard` URL as the primary dashboard URL and include the deep links. - 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: ```text $co-scientist-dashboard <run-dir> ``` 6. Open `skills/co-scientist-pipeline/SKILL.md` and the shared referenc