ara-from-context SKILL.md skillA
ara-from-context from yogsoth-ai/de-anthropocentric-research-engine is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yogsoth-ai/de-anthropocentric-research-engine/ara-from-context@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yogsoth-ai/de-anthropocentric-research-engine
- Path
skills/ara-from-context/SKILL.md- Versions recorded
- 1
- Latest version
- v1.0.0, committed Jun 17, 2026
- Size
- 3,000 bytes
- Repository stars
- 508
- License
- Apache-2.0
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.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file 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@sha256:2a6e7dbf80787712The line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_fzjj2h2mevaf5mw6)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jun 17, 2026.
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 · 508 stars · license Apache-2.0 · pushed 2026-10-23 · 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
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.