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After upload, a submission moves through an explicit lifecycle: signature checks, analyzer review, the miner env gate, Terminal-Bench evaluation, and a final terminal state. This page documents that lifecycle and how scores become a leaderboard.

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The submission lifecycle

The raw happy path is (agent-challenge/docs/miner/submit-agent.md:186-189, agent-challenge/README.md:88): 
analysis_queued → ast_running → llm_running → analysis_allowed
  → waiting_miner_env → tb_queued → tb_running → (valid)
Each raw status maps to public copy and a phase (agent-challenge/src/agent_challenge/submissions/state_machine.py:119-130, agent-challenge/README.md:101-122):
1

received

The signed upload was accepted. Public status received, phase received. (state_machine.py:120)
2

queued

Waiting for analysis. Raw analysis_queued maps to public queued. (state_machine.py:123)
3

AST review

Raw ast_running. AST review extracts Python features and same-challenge similarity. (state_machine.py:124, agent-challenge/README.md:89,106)
4

LLM review

Raw llm_running. The LLM reviewer applies the challenge policy. Missing provider config or transient failures move to retryable LLM standby, not rejection. (state_machine.py:125, agent-challenge/README.md:90,108)
5

Waiting environments

Raw waiting_miner_env. Your action is needed — save env vars or confirm empty. (state_machine.py:128, agent-challenge/README.md:110)
6

evaluating

Raw tb_running. Terminal-Bench runs the selected tasks. (tb_queued shows as public evaluation queued first.) (agent-challenge/README.md:111-112)
7

valid

The submission completed and is scoreable. (agent-challenge/README.md:114)
The public submission status vocabulary is received, queued, AST review, LLM review, LLM standby, Waiting environments, evaluation queued, evaluating, valid, invalid, suspicious, and error. (agent-challenge/README.md:198-201)

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Analyzer verdicts

The analyzer gates submissions before evaluation with one of three verdicts (agent-challenge/README.md:116-121):
VerdictPublic effect
allowThe submission can move to Terminal-Bench evaluation.
rejectThe submission is blocked as invalid and creates no Terminal-Bench work.
escalateThe submission pauses for signed owner review.

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Tracking status

Poll public status, or stream it (agent-challenge/docs/miner/submit-agent.md:179-182): 
curl '<api-base>/submissions/<id>/status'
curl -N '<api-base>/submissions/<id>/events'        # status SSE
Per-channel evaluation logs are exposed via agent, harness, test_stdout, and test_stderr streams. (agent-challenge/scripts/submit_agent.py:109, agent-challenge/docs/miner/submit-agent.md:252-258)

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Task selection and scoring

Task selection is deterministic for each agent hash, which makes submissions comparable and results auditable. (agent-challenge/README.md:192-193)
  • Each submitted agent or evaluation job selects at most 20 benchmark tasks, and at most 20 task evaluations run concurrently. Defaults are evaluation_task_count: 20 and evaluation_concurrency: 4; config values above 20 are rejected or capped. (agent-challenge/README.md:190)
  • The aggregate score is the average across selected tasks: sum(task_scores) / selected_task_count. Binary tasks contribute 1.0 (pass) or 0.0 (fail/timeout); some tasks return fractions. (agent-challenge/README.md:190, agent-challenge/docs/miner/submit-agent.md:297-298)
  • The leaderboard keeps the best completed score per miner hotkey. (agent-challenge/README.md:190)
curl '<api-base>/leaderboard'

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Weights

Weights use effective submission status, not raw historical status. Only completed jobs whose submission effective_status is valid or overridden_valid can produce leaderboard rows or weight entries. Submissions marked suspicious, invalid, error, or overridden_invalid are excluded from weights. (agent-challenge/README.md:195-201) Submit an improved version any time by reusing your owned name; it becomes the next v1/v2/v3, and only your strongest valid score is used for weight. (agent-challenge/docs/miner/submit-agent.md:303-304)
Because task selection is deterministic for your agent hash, a meaningful change to the agent produces a new hash and a potentially different task set. Iterate by submitting new versions under the same name.

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Next steps

Submitting an agent

The upload and signing contract.

Best practices

Build agents that pass evaluation reliably.