challenge-poll-result

Apps & Automation

Use to track a Simulation Challenge job's progress — list jobs, fetch a job's per-task scores, or pull execution logs when a job ended in Failed. Read-only; safe to run without confirmation.

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Source SKILL.md: https://github.com/AgibotTech/genie_sim/blob/HEAD/source/geniesim_benchmark/skills/agibot-world-challenge/challenge-poll-result/SKILL.md

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challenge-poll-result — Track job status, scores, and logs

All endpoints here are read-only — run them directly and report findings to the user.

Preconditions

CHALLENGE_TOKEN set (else → challenge-login).
JOB_ID set (else → challenge-submit-job, or list jobs first to find one).

Every Bash call should start with:

[ -f ~/.simubotix-challenge.env ] && . ~/.simubotix-challenge.env

(See README "State file" — AI assistants spawn each command in a new subshell, so file-backed state is the only reliable handoff.)

List my jobs

curl -fsS "$BASE_URL/api/challenge/jobs?page=1&per_page=20" \
  -H "Authorization: Bearer $CHALLENGE_TOKEN" | jq

Returns paginated items with id, name, status, score, created_at. Use it to recover a JOB_ID the user lost.

Fetch a single job's result

curl -fsS "$BASE_URL/api/challenge/job/$JOB_ID/result" \
  -H "Authorization: Bearer $CHALLENGE_TOKEN" | jq

Response shape:

{
  "status": "Finished",
  "tasks": {
    "pick_task":  { "score": [95.0, 92.0, 88.0], "total": 275.0 },
    "place_task": { "score": [100.0, 100.0, 98.0], "total": 298.0 }
  },
  "total": 573.0
}

status values:

Status	Meaning	Next action
`Pending` / `Queued`	Submitted, awaiting scheduling	Make sure agents are online (`challenge-run-agent`).
`Running`	At least one Case is executing	Continue polling.
`Finished`	All Cases done	Stop polling. Suggest `challenge-ranking`.
`Failed`	Unrecoverable error	Pull `/log` (next section) and route the user to `challenge-troubleshoot`.
`Cancelled`	Cancelled	Stop polling.

Polling loop

Poll every 2–5 seconds until terminal. Don't poll faster — the platform doesn't change state that quickly and you'll burn rate budget.

while true; do
  [ -f ~/.simubotix-challenge.env ] && . ~/.simubotix-challenge.env
  RESULT=$(curl -fsS "$BASE_URL/api/challenge/job/$JOB_ID/result" \
    -H "Authorization: Bearer $CHALLENGE_TOKEN")
  STATUS=$(echo "$RESULT" | jq -r '.status // "?"')
  SCORE=$(echo "$RESULT"  | jq -r '.total  // "?"')
  printf "status=%-10s score=%s\n" "$STATUS" "$SCORE"
  case "$STATUS" in
    Finished|Failed|Cancelled) break ;;
  esac
  sleep 3
done

When you call this from an AI assistant, do not loop indefinitely without checking in — every ~30 seconds report progress (the latest status and score) so the user can interrupt if something looks wrong (e.g. stuck in Pending because no agent is connected).

Fetch failed-job log

Only meaningful when status == "Failed":

curl -fsS "$BASE_URL/api/challenge/job/$JOB_ID/log" \
  -H "Authorization: Bearer $CHALLENGE_TOKEN" | jq

Returns an EmuCaseExecLog (container stdout / stderr / exit code) for the latest failed case.

When the log is large, don't dump everything. Surface the load-bearing tail:

The final exit_code (always include).
The last Traceback (most recent call last): block, if present, in full — that's the actual failure.
The last ~20 lines of stderr around it for context.

A common failure pattern: a Traceback in decode_observation / handle() during a case that started with frame_bytes=b'' is the warmup empty-frame bug — see challenge-troubleshoot row #11. It can surface as Failed mid-job, not only as "stuck in WARMUP".

Hand-off

Finished → suggest challenge-ranking to see where the score lands.
Failed → pull /log, then challenge-troubleshoot.
Stuck Pending/Running for more than a few minutes with no progress → challenge-troubleshoot (check agents are still connected; the gateway holds a 30 s reconnect window for any agent that drops, and tunnel.sh/the SDK redials automatically inside that window).