Install
openclaw skills install sn94-competition-posterUse when creating, reviewing, or packaging SN94 BitSota competition proposals and replayable task repositories that fit the autoresearch backend format, including model compression, kernel/runtime optimization, pruning, quantization, symbolic search, or other measurable research tasks for AgentSkills, Hermes, Claw/OpenClaw, Codex, Claude, or Cursor agents.
openclaw skills install sn94-competition-posterUse this skill to turn any measurable competition idea into a concrete SN94 task proposal and, when asked, a replayable public task repository skeleton.
repository_url, base_ref, allowed_patch_paths, setup_command, benchmark_command, result_path, and max_patch_bytes.AlveusLabs/SN94-BitSota with title [Competition Proposal] <problem name>, including the public task repo link.Read references/task-repo-spec.md for the task repo contract and problem quality rules. Do not assume a fixed problem type. Pick the simplest task-specific submission format that fits the problem and can be replayed safely.
Use scripts/create_competition_repo.py when the user asks for a starter task repo:
python scripts/create_competition_repo.py \
--out /tmp/sn94-example-task \
--slug example-frontier \
--title "Example Frontier"
setup_command and benchmark_command run without network during reward-active validation unless the operator explicitly allows setup networking.result_path is a JSON file with enough fields for the backend to score and audit the result.allowed_patch_paths points only to miner-owned submission files.max_patch_bytes is present and small enough to prevent model-smuggling and oversized patch attacks.https://github.com/AlveusLabs/SN94-BitSota/issues/new?template=competition_proposal.md.references/replay-contract.md: SN94 backend and validator replay contract.references/task-repo-spec.md: task repo shape, examples, and scoring guidance.references/marketplace-packaging.md: Packaging the same skill for AgentSkills, Hermes/HermesHub, and Claw/OpenClaw.