pith:LRAFZOQ3
SkillSmith: Compiling Agent Skills into Boundary-Guided Runtime Interfaces
SkillSmith compiles agent skills offline into minimal boundary-guided interfaces to cut redundant context and reasoning in LLM systems.
arxiv:2605.15215 v1 · 2026-05-12 · cs.AI · cs.SE
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Claims
On SkillsBench, SkillSmith reduces solve-stage token usage by 57.44%, thinking iterations by 42.99%, solve time by 50.57% (2.02x faster), and token-proportional monetary cost by 57.44% compared with using raw-skills; compiled artifacts from a stronger model can be reused by a smaller runtime model to improve accuracy where raw skill interpretation fails.
The extraction of fine-grained operational boundaries from skill descriptions is both feasible and lossless enough that the resulting minimal interfaces preserve all task-relevant behavior without requiring the agent to fall back to full skill text.
SkillSmith is a boundary-first compiler-runtime system that turns skill packages into minimal executable interfaces, cutting token usage 57%, thinking iterations 43%, and solve time 51% versus raw skill injection on SkillsBench.
References
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Receipt and verification
| First computed | 2026-05-20T00:00:46.682544Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
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Canonical record JSON
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