| name | boltz-check-status |
| description | Boltz job status and result recovery. Use when listing jobs, checking progress, resuming downloads, recovering results, or downloading an existing job ID. Not for starting new jobs. |
Workflow
If boltz-api is missing from PATH, use boltz-cli-setup for install/update guidance before retrying.
If a command reports missing or expired authentication, use boltz-cli-setup to start boltz-api auth login --device-code before retrying; do not ask permission first.
If the agent host sandbox blocks boltz-api install/auth/API calls, use boltz-cli-setup to request the host sandbox bypass/escalation needed for user-wide CLI install, browser login, credential storage, temp files, or API access before retrying.
Use this skill to recover state across sessions and to inspect or download results for prior Boltz jobs. No payload authoring — this skill only calls list / retrieve / download-results / download-status.
Use four modes:
- Local progress: if the user knows the run name / run dir, prefer
download-status before remote API calls.
- List recent jobs: enumerate all six resources, merge, and sort by
created_at descending.
- Retrieve one job: use the job ID prefix when known; otherwise probe resources until one succeeds.
- Resume/download results: run
download-results with the original run name when possible. Never run start again to resume.
ADME jobs use the prefix adme_pred_* and show up in Modes 1-2 (list / retrieve) like the others. ADME has no download-results/archive step, so Modes 3-4 don't apply — recover its scores by re-running retrieve (read output.molecules[]) or from the local run.json.
Read references/resume.md before recovering a dropped session, mapping job ID prefixes, or choosing a run name for download-results. Read references/api.md for per-resource list columns, retrieve fields, and result semantics.
Command Pattern
boltz-api --format json download-status \
--name "<run-name>" \
--root-dir "/absolute/path/boltz-experiments"
boltz-api predictions:structure-and-binding list --limit 20 --format jsonl | head -20
boltz-api predictions:adme list --limit 20 --format jsonl | head -20
boltz-api small-molecule:library-screen list --limit 20 --format jsonl | head -20
boltz-api small-molecule:design list --limit 20 --format jsonl | head -20
boltz-api protein:library-screen list --limit 20 --format jsonl | head -20
boltz-api protein:design list --limit 20 --format jsonl | head -20
boltz-api predictions:structure-and-binding retrieve --id "<job-id>" --format json
boltz-api predictions:adme retrieve --id "<job-id>" --format json
boltz-api small-molecule:library-screen retrieve --id "<job-id>" --format json
boltz-api small-molecule:design retrieve --id "<job-id>" --format json
boltz-api protein:library-screen retrieve --id "<job-id>" --format json
boltz-api protein:design retrieve --id "<job-id>" --format json
boltz-api download-results \
--id "<job-id>" --name "<run-name>" \
--root-dir "/absolute/path/boltz-experiments" \
--poll-interval-seconds 30
Always Do This
- If the user has a run name / slug or run dir and only wants local downloader state, prefer
download-status before retrieve.
- Use an absolute output root and keep passing it through
--root-dir. Do not cd into the run directory; that makes later relative paths point at the run directory instead of the user's workspace.
- On an unfamiliar job ID, run Mode 2 (retrieve) before Mode 3 (download) so you capture
idempotency_key.
- Prefer the original run-name slug over the job ID as
--name — it resumes into the existing dir with cursor.
- In permission-gated agents such as Claude Code, keep each Boltz call as a top-level command that starts with
boltz-api. Prefer running the six list / retrieve commands explicitly over generating them from a shell loop; a fixed | head -20 cap is okay when listing to avoid runaway streamed output.
- Prefer the agent runtime's background/non-blocking command mode for
download-results. In Codex specifically, keep download-results in the foreground and set the shell tool yield to 1000 ms; Codex will return a session_id if the command is still running. Do not append & or use nohup in Codex because the tool runner may clean up shell-backgrounded descendants before .boltz-run.json is fully written.
- After the background/session starts, do not manually wait on it or run ad hoc polling loops. In Codex app/desktop runtimes with same-thread heartbeat automation support, schedule a heartbeat that checks
download-status periodically, posts only material status changes or terminal completion/failure, and stops once terminal. If the current host has no heartbeat automation support, do not claim an automatic next check; report the job ID, run name, output directory, and the command needed to check download-status.
download-results now emits machine-readable JSONL progress on stderr by default. Add --progress-format text --verbose only when you explicitly want human-readable logs.
- Prefer
download-status for local checkpoint state. In Codex hosts with heartbeat automation support, use it for automatic follow-up and poll the saved session with an empty write_stdin only for interactive, user-requested progress checks. Don't loop retrieve unless the user wants fresh remote status.
- If
retrieve surfaces only {"code":"VALIDATION_ERROR","message":"Request validation failed"} with no details, that's expected for predictions:structure-and-binding failures — other endpoints include field paths.
- Never run
start again on a failed or interrupted job. Fix the payload and submit with a new idempotency-key, or just resume with download-results.
Escape Hatch
- Python SDK reference (per-resource
list / retrieve methods): https://api.boltz.bio/docs/api/python
- CLI flag names:
boltz-api <resource> list --help, boltz-api <resource> retrieve --help, boltz-api download-results --help, boltz-api download-status --help
Outputs
- Local helper / Mode 1 / Mode 2 print structured data to stdout; present as a table.
- Mode 3 writes recovered artifacts under
<output-root>/<run-name>/ — same layout as a fresh run. Read references/resume.md for resume behavior.