ara-from-context skillA
ara-from-context is agent-read markdown (skill) from yogsoth-ai/de-anthropocentric-research-engine: 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.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# 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 | …
Read the whole file at its exact version.
How to install
mdr add yogsoth-ai/de-anthropocentric-research-engine/ara-from-context@v1.0.0mdr add yogsoth-ai/de-anthropocentric-research-engine/ara-from-context@sha256:2a6e7dbf80787712Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_fzjj2h2mevaf5mw6)
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Versions
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (3000 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
yogsoth-ai/de-anthropocentric-research-engine · 497 stars · license Apache-2.0 · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_fzjj2h2mevaf5mw6 GET https://markdownregistry.com/api/v1/resolve?ref=yogsoth-ai/de-anthropocentric-research-engine/ara-from-context GET https://markdownregistry.com/api/v1/blob/2a6e7dbf80787712337d9985a604a643e3b6431d512412b489f2a7e51b6d2aca
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