The right unit of analysis for agent infrastructure—skill, tool, or manifold—is itself a position requiring explicit claim.

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Current application of 15 properties to agent harness is metaphorical; operationalization into measurement is an open empirical question.claim0.765
• Evaluating agentic competence requires benchmarks that test the joint deployment of multiple capabilities in multi-agent environments with conflicting incentives, uncertainty, and economic dynamics.quote0.760
  Motivational statement for the benchmark design philosophy.
• Verbal reports, homology of structure or materials, phylogenetic provenance are all insufficient to make dependable conclusions across the space of possible agents.claim0.760
  Summary assertion that traditional evidence fails for novel agents.
• The human capacity to recognize and evaluate agency is well-tuned for medium sized objects at medium speeds in 3D space, but not adapted to unfamiliar guises and problem spaces.claim0.753
  Claim about the limits of human intuition for detecting intelligence/sentience.
• Projections onto the Assistant Axis could serve as a real-time measure of model coherence in deployment—a quantitative signal for when models are drifting from their intended identityclaim0.746
  Proposed future application of the Assistant Axis
• The correct level of agency is an empirical question, not a philosophical one.claim0.745
  We must determine the optimal stance by testing what predictive/control strategies work best.
• A skill works at multiple reinforcing scales: individual command, skill invocation, and user project.claim0.743
• Intelligence per se remains a mere capacity – the state of being competent with regards to noticing and overcoming stress – intelligence requires care to be engaged and expressed.claim0.743
  Distinguishing intelligence as capacity from its expression.