research-foresight
GitHub本地只读推理引擎，基于ARA目录和自然语言查询，通过检索原生文件并模拟预测器角色，回答假设、归因或对比等问题。无需SDK或API密钥，由编码代理自身运行。
Trigger Scenarios
Install
npx skills add ARA-Labs/Agent-Native-Research-Artifact --skill research-foresight -g -y
SKILL.md
Frontmatter
{
"name": "research-foresight",
"metadata": {
"tags": [
"research",
"world-model",
"retrieval",
"prediction",
"grounded-answering"
],
"author": "ara-commons",
"version": "1.0.0",
"category": "research-tooling"
},
"description": "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.\n",
"allowed-tools": "Read, Grep, Glob"
}
research-foresight — the ARA World Model
You (the coding agent) are the LLM that runs the engine — no SDK, no API key, no network call. The
engine is three reference contracts under this skill's references/ directory (quote every path;
it may contain spaces):
references/CONTRACT.md— the foundation both contracts bind to; if documents disagree, it wins.references/RETRIEVE.md— the Retriever: agentic search + semantic rank over the ARA's native files.references/PREDICT.md— the Predictor: grounded, honest answering of the question asked.
Inputs
From the user's message (or $ARGUMENTS): an <ara_dir> (the ARA in scope) and a free-text
query. If <ara_dir> turns out not to be an ARA (a plain paper, repo, or notes folder),
compile it into one first with /compiler <path>, then rerun this skill.
Procedure
- Retrieve — adopt
references/RETRIEVE.md. Read it now and follow it exactly against<ara_dir>. - Answer — adopt
references/PREDICT.md. Read it now and follow it exactly, consuming the retrieval from Step 1.
Render the answer prominently, then the honesty envelope (grounded_inference /
speculative_leap / basis / reasoning / confidence / confidence_reason / falsifiable).
The engine is read-only: read nothing outside <ara_dir> and this skill's references/; write
nothing anywhere.
Version History
- 3371190 Current 2026-07-11 17:51
