Skim: Speculative Execution for Fast and Efficient Web Agents
Quick Take
Skim enhances web agent efficiency by leveraging predictable website structures for speculative execution.
Key Points
- Reduces median task cost by 1.9x.
- Lowers latency by 33.4% without accuracy loss.
- Utilizes offline profiling for query pattern recognition.
📖 Reader Mode
~2 min readAbstract:Skim is a speculative execution framework for web agents that exploits the predictable structure of purpose-built websites. Today's web-agent expense is not intrinsic to the tasks but a property of how agents are composed: frontier-model inference, browser rendering, and ReAct-style planning are applied to every step of every task regardless of complexity. Skim's key observation is that websites enforce stable URL patterns, answer formats, and task-to-trajectory mappings across queries of the same type, so most queries can bypass these heavyweight components entirely. An offline profiler captures these patterns once per site. At runtime, Skim matches each query to a template, synthesizes the destination URL, and extracts the answer with a small model. A lightweight verifier gates each fast-path output against the query and schema; rare misspeculations cascade to the full agent, warm-started by the fast path's final URL to preserve upstream trajectory progress. Across standard web-agent benchmarks paired with three backboneagents (WebVoyager, AgentOccam, BrowserUse), Skim reduces median per-task cost by 1.9x and latency by 33.4% with no accuracy loss.
| Comments: | 14 pages, 21 figures |
| Subjects: | Artificial Intelligence (cs.AI); Operating Systems (cs.OS) |
| Cite as: | arXiv:2605.16565 [cs.AI] |
| (or arXiv:2605.16565v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2605.16565 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Mike Wong [view email]
[v1]
Fri, 15 May 2026 19:12:43 UTC (4,892 KB)
— Originally published at arxiv.org
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