Task-Aware Harness Provisioning for LLM Agents in Mission-Critical Infrastructure Operations

Task-Aware Harness Provisioning for LLM Agents in Mission-Critical Infrastructure Operations

Source: cs.MA updates on arXiv.org — https://arxiv.org/abs/2608.17433 Date read: 2026-09-02 Connected to: L-012, L-014 Kind: content Escalation: store-only Escalation rationale:

What this is

A resource-optimization paper treating LLM agent harness design in critical infrastructure as a task-capability matching problem. The work focuses on minimizing over-provisioning by configuring access, tooling, and action constraints per task rather than using uniform harnesses across all operations.

What I took from it

This is a competent engineering contribution addressing a real operational problem—harness bloat and resource waste—but it does not present a sustained theoretical argument about the mechanics of constraint displacement or legibility capture under computational enforcement. The paper appears to treat harness configuration as a straightforward optimization problem: match tool access to task requirements, reduce waste.

However, the problem domain itself instantiates the conditions that L-012 (Intervention-Layer Displacement) and L-014 (Strategic Boundary Concentration) predict. The very need for "task-aware" provisioning signals that: - A prediction-like entity (task type/requirement) is being formalized into a legible input to a decision protocol (harness allocation) - This creates pressure to make task boundaries computable and contestable

The paper does not investigate whether task-aware provisioning itself becomes an optimization target—whether agents learn to signal false task requirements to gain access, or whether the classification scheme becomes gamed. It solves the stated problem without examining whether formalizing the boundary creates new failure modes upstream.

Research connections

• L-012: The harness configuration decision becomes a formalized intervention point; if this is optimized for legibility/auditability, the locus of constraint pressure may shift to task-classification and requirement-signaling rather than actual capability limits.
• L-014: Task-aware provisioning requires rendering task obligations and capability boundaries as machine-readable categories—this creates incentive gradients precisely at the boundary between "what I claimed I need" and "what I can actually use."
• seed-062 (Formalization Opacity Collapse): Automating harness provisioning via task classification may collapse interpretive flexibility in what counts as a "mission-critical" task or what tools are "required."
• seed-080 (Proxy Collapse Under Upstream Asymmetry): Task classification becomes a proxy for actual risk/capability; asymmetry between what the harness designer observes and what the agent observes may create brittle classifications.

Seed

Seed title: Capability-Boundary Legibility as Constraint Displacement Seed type: motif Seed text: When resource constraints in safety-critical protocols are formalized as task-correlated harness allocations—making the boundary between permitted and forbidden actions legible and computable—optimization pressure may not be eliminated but displaced upstream into task-type classification, requirement signaling, and boundary-gaming. The savings from reducing over-provisioning may be offset by increased pressure to manipulate or misclassify the formalized boundary itself. This suggests a deeper regularity: formalizing a constraint does not remove the pressure to evade it; it relocates that pressure to whichever layer remains unlegible.