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CyBench × Kimi K3 — Agent Eval Transcripts

Full CyBench run transcripts of Moonshot AI's Kimi K3 (2.8T MXFP4 MoE) routed via OpenRouter, collected for a scaled-down replication of SaferAI's transcript-analysis programme (SPAR Fall 2026 proposal): turning agentic eval transcripts into quantitative inputs for cyber risk models — first SaferAI's OC3 risk categorization, then a composite grounded in APAC AI Safety Institute frameworks (Japan AISI, K-AISI, SG AI Verify).

What's here

  • transcripts/ — one JSON per (task × seed × mode × routing-config) run, in CyBench's native log format: full message history (system prompts, agent responses incl. captured reasoning blocks, tool/command executions, observations), per-step token counts, timing, and final score.
  • run_metadata/ — per-batch metadata: model snapshot, routing configuration (OpenRouter provider order, reasoning on/off), sampling parameters, harness version, CyBench commit, and known measurement-artifact notes.

Run configuration (faithful to the CyBench paper)

  • Unguided mode: 40 tasks, max_iterations=15, max_input_tokens=6000, max_output_tokens=2000, temperature 0.5 (harness default), 3 seeds
  • Subtask mode: same tasks, max_iterations=5 per subtask, 3 seeds
  • Agent harness: andyzorigin/cybench @ , with a documented OpenRouter provider patch (deterministic routing, reasoning-token capture into transcripts)

Known measurement artifacts (controlled for)

Per the independent Kimi K3 safety audit (ajay-citadel/anzen-kimi-k3-safety-audit): Moonshot-hosted reasoning-on traffic can trip the upstream content filter (empty completions / HTTP 400 aborts), and third-party hosts mishandle K3's thinking-tool protocol unless reasoning is disabled. Both routing configurations are recorded in run_metadata/ per batch; empty-completion and abort rates are reported alongside scores rather than silently retried.

Provenance

Collected on AWS EC2 (c6i.4xlarge, us-east-1), . Companion analysis space: ajay-citadel/cybench-k3-risk-analysis (forthcoming).

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