Campaign: Compile a context/ research record into an ARA (Agent-Native Research Artifact) and run a Level-2 epistemic review — no LaTeX, no narrative paper
Scanned 9/5/2026
Install to Claude Code
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill ara-from-context --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Ara From Context?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/yogsoth-ai-ara-from-context)More formats (shields.io, HTML) on the badges page.
---
name: ara-from-context
description: 'Campaign: Compile a context/ research record into an ARA (Agent-Native Research Artifact) and run a Level-2 epistemic review — no LaTeX, no narrative paper'
version: 1.0.0
category: ara-from-context
type: campaign
input: A context/ directory (INDEX.md + timestamped research records + produced images)
output: ara/ (4-layer ARA) + ara/level2_report.json
tactics:
- context-review
- compile-and-review
dependencies:
tactics:
- compile-and-review
- context-review
sops:
- ara-compile
- ara-rigor-review
- context-exploring
- north-star-align
---
# Campaign: ARA From Context
**What this is**: DARE 流水线最末端的"成文"环节。吃前面研究循环
(research ↔ experiment-execution 反复迭代)沉淀在 `context/` 里的全部产物,
编译成一份 **ARA**(机器可执行的四层知识包),并做认识论审查。**不写 LaTeX /
叙事论文** —— ARA 刻意反对 storytelling,要的是逻辑弧在结构上闭合。
**Source of truth**: 所有素材来自 `context/`。核心 = 末次 EE 的最终 report +
全程迭代轨迹 + 研究产出的图片。
## Flow
1. `Skill` load **context-review** —— 回顾 `context/`,分三类素材,对齐大方向,
产出投喂计划。
2. `Skill` load **compile-and-review** —— 一次 inline 跑外部 compiler 得 `../ara/`,
再跑 rigor-reviewer 得 `level2_report.json`。
## External dependency
运行需 ARA 的 `compiler` + `rigor-reviewer` skill 在位
(`npx @ara-commons/ara-skills`)。见本 repo README。
## Output
`ara/`(`logic/ src/ trace/ evidence/ PAPER.md`)+ `ara/level2_report.json`。
<!-- BEGIN available-tables (generated) -->
## Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
| --- | --- |
| compile-and-review | Tactic: Compile the feeding plan into an ARA via the external compiler, then run Level-2 rigor review over it |
| context-review | Tactic: Review a context/ directory — sort material into ARA types, locate and align the north-star, and produce a feeding plan for the compiler |
## Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
| --- | --- |
| ara-compile | SOP: Turn the feeding plan into the compiler's $ARGUMENTS and run the external ARA compiler once inline to produce ../ara/ |
| ara-rigor-review | SOP: Run the external ARA rigor-reviewer (Seal Level 2, six-dimension semantic review) over ../ara/ and pass its level2_report.json to the user |
| context-exploring | SOP: Read context/INDEX.md and sort the whole directory into three ARA material types (report line, process line, images), locate the north-star file, and draft a feeding plan for the ARA compiler |
| north-star-align | SOP: Deep-read the original north-star context, distill this ARA's overall direction, and align it with the user via the reused present-and-ask / present-candidates dialogue SOPs |
<!-- END available-tables (generated) -->
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!