Model comparisons, agent setups, cost, and modalities, measured on real tasks. Read the methodology and results, or rerun a study on your own data.
Each enforcement variant was scored 2 ways. First by whether they adhered to that behavior, and second by the number of tests passed. We found that the agent could have leaky behavior that wasn't surfaced by output-only scoring.
30 tasksdeterministic detector
test_passed on the same 30 tasks
A coding agent rebuilt 27 complex designs through each MCP server, three trials each. Visual similarity scores CLIP embedding distance to the reference screenshot, and faithfulness comes from a claude-sonnet-5 judge.
0–1 CLIP score0.93 practical ceiling
0–1complex designs
225 procedurally generated tasks span arithmetic, symbolic rules, and data transforms, graded by exact match in code with no partial credit. Each model runs every task three times.
225 code-graded taskshigher is better
Each skill packages best practices from leading AI teams and researchers into a plain SKILL.md file your coding agent can read. Use them to get started running evals on your data.
Ask it to do what the skill describes, like validating a scorer against human labels or finding hidden failure modes.