research-foresight

research-foresight is a Research reports & synthesis skill for AI agents, published by ARA-Labs in the Agent-Native-Research-Artifact repository on GitHub. Skillspace rates research-foresight D (66/100) and it passed the safety scan; the rating is based on static analysis only.

ARA World Model — read-only reasoning engine over ONE Agent-Native Research Artifact (ARA), run LOCALLY with the coding agent itself as the LLM (no SDK, no API key). Given an ARA directory and a free-text query, it answers any question about the ARA — a forward "what if I change X", but equally why-did-this-work, what-should-I-try, is-this-sound, how-do-these-compare, or anything else — by retrieving precedent from the ARA's native files (references/RETRIEVE.md) and answering as the Predictor (references/PREDICT.md): a bold, grounded, falsifiable Answer shaped to what the question actually calls for. TRIGGERS: ask the world model, wm predict, predict with the world model, what if I change X, forecast the loss curve, will this help, why did this work, what should I try next, is this claim sound, compare these, retrieve precedent, what precedent surfaces.

Grade

D

Quality

66 / 100

Safety

Passed

GitHub stars

499

Unproven: rated by static analysis only, not yet compared head-to-head.

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