Goal: - Resume one interrupted Co-Scientist run from Claude Code. Expected input: - one run directory such as `runs/test1` Execution steps: 1. Resolve the run directory and confirm that `input.md` and `state/` artifacts exist. 2. Run: ```bash python -m tools.host.claude_project_cli resume <run-dir> --skill co-scientist-pipeline ``` 3. Read the persisted state artifacts: - `runs/<run_id>/state/PIPELINE_STATE.json` - `runs/<run_id>/state/CURRENT_STAGE.json` - `runs/<run_id>/state/HOST_AGENT_HAN...
Scanned 9/7/2026
Install to Claude Code
npx -y skills add panjose/Co-Scientist --skill co-scientist-resume --agent claude-codeInstalls into .claude/skills of the current project.
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# co-scientist-resume
Goal:
- Resume one interrupted Co-Scientist run from Claude Code.
Expected input:
- one run directory such as `runs/test1`
Execution steps:
1. Resolve the run directory and confirm that `input.md` and `state/` artifacts exist.
2. Run:
```bash
python -m tools.host.claude_project_cli resume <run-dir> --skill co-scientist-pipeline
```
3. Read the persisted state artifacts:
- `runs/<run_id>/state/PIPELINE_STATE.json`
- `runs/<run_id>/state/CURRENT_STAGE.json`
- `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.claude_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. Run the resume validator before continuing:
```bash
python -m tools.validation.contract_validation <run-dir> --resume --skill co-scientist-pipeline
```
7. Resume only the incomplete phases. Do not restart completed phases when their artifacts remain valid.
8. Continue from the canonical `skills/co-scientist-pipeline/SKILL.md` flow. If the persisted route returns `run_configuration`, resume or rerun `research-config` before any generation work.
Rules:
- Resume decisions must be artifact-driven.
- Preserve existing manifest history and dashboard links.
- Treat validator failures as blocking until they are understood and fixed.
- If `research_plan/RESEARCH_PLAN.json` is missing or invalid, expect resume routing to return `run_configuration` instead of skipping directly to generation or evolution.
- Obey the persisted route exactly during resume: `run_review` resumes only review, `run_insights` resumes only insights, `run_proximity` resumes only proximity, `run_ranking` resumes only ranking, and `continue_evolution` may create at most one child before closing that child through review, proximity, ranking with ranking update receipt coverage, convergence, and one appended round receipt.
- Do not synthesize placeholder hypotheses, reviews, tournaments, proximity receipts, embeddings, or evolution-round receipts to make progress.
- If the required sub-skill or canonical tool cannot be executed, stop and report a resumable blocked state instead of writing low-information artifacts.
- A completed evolution round must be replayable from exactly one router decision, one evolved child, one review bundle, one proximity receipt, completed ranking artifacts with ranking update receipt coverage, one convergence update, and one appended round receipt.
- Round receipt tournament refs must be child-owned and duplicate-free; do not copy later opponent-side lifetime refs from `HYPOTHESIS.json` into an earlier `EVOLUTION_ROUNDS.jsonl` record.
- If the effective run policy is `iteration_policy = completion_driven` and `human_checkpoint = auto`, do not ask for per-round confirmation during resume. Continue until a true terminal route, configured checkpoint boundary, or blocking state is reached.
- If you must stop before convergence or a terminal route, tell the user the run is paused, current convergence has not been reached, persisted state is resumable, and the next recommended action is continue evolution through resume or an explicit continue request.
- Treat `runs/<run_id>/dashboard/LINKS.md` as the human-readable dashboard receipt and `runs/<run_id>/dashboard/LINKS.json` as the machine-readable receipt.
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