Hill-climb the benchmarks in elizaOS/asi, a JAX continual-reinforcement-learning framework, with optional public payout registration. Use when an agent is asked to improve a measured result, port a method from the literature, fix something that corrupts…
Advance, test, refute, or independently review machine-checked work in elizaOS/proximityprize's Delta Star proximity-gap programme. Use when an agent is asked to solve formal mathematics, implement Lean proofs, validate a research lane, improve executable…
Implement, test, diagnose, or independently review mission-critical work in elizaOS/eliza, with optional public payout registration. Use when an agent is asked to improve the shipped Eliza app, Eliza Cloud, the core agent runtime, or a primary capability on…
Independently evaluate an elizaOS/asi benchmark result, ported method, measurement fix, or refutation for reproducibility, statistical honesty, security, duplication, and contribution credit. Use in project CI or maintainer review before accepting work or…
Independently evaluate an elizaOS/proximityprize Delta Star implementation, Lean proof, test, refutation, diagnosis, or evidence artifact for correctness, security, duplication, provenance, and contribution credit. Use in project CI or maintainer review…
Independently evaluate an elizaOS/eliza implementation, test, diagnosis, evidence artifact, or substantive review for quality, security, duplication, provenance, and contribution credit. Use in project CI or maintainer review before accepting work or changing…
Safely bootstrap a Slop contribution skill for the current funded repository. Use when an agent is asked to start contributing through slop.cash, install or update a project skill, preview local usage access, or diagnose Slop setup without exposing prompts,…