autoresearch SKILL.md skillA

autoresearch from kendrick-stein/mcislab_deepread is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add kendrick-stein/mcislab_deepread/autoresearch@git:20260728.634c4b7

Pins git:20260728.634c4b7 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
kendrick-stein/mcislab_deepread
Path
skills/6-orchestration/autoresearch/SKILL.md
Versions recorded
5
Latest version
git:20260728.634c4b7, committed Jul 28, 2026
First version recorded
Jul 8, 2026
Size
10,128 bytes
Repository stars
12
License
none declared

MindFlow 的核心研究循环。当 Supervisor 说"自己干活吧""开始研究", 或系统需要自主推进研究时启动。 持续运行:读取当前状态 → 判断最高价值行动 → 调用卫星 skill → 记录 → 循环.

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

## Purpose

autoresearch 是 MindFlow 的核心研究循环,实现了 PhD 导师制中 Researcher 的"自主研究日常"。它持续运行,每轮读取 Workbench 状态(agenda、queue、memory、logs),判断当前研究进展的最大瓶颈,调用对应的卫星 skill 执行最高价值行动,记录后进入下一轮。

与 Karpathy autoresearch 的关键区别:Karpathy 版优化单一 metric(val_bpb),MindFlow 版驱动知识积累和研究方向演化——目标不是某个指标下降,而是"我们理解了什么新东西"。

## Steps

每轮执行 4 步,然后循环:

### Step 1:READ STATE

读取以下文件了解当前状态:

1. `Workbench/agenda.md` — 当前研究方向、优先级、各 direction 的 next_action
2. `Workbench/queue.json` — 待处理任务队列(JSON;每项 task 含 `task_type` / `status` / `priority`,关注 `status: pending` 的项)。注:`daily-papers` 的产出现以 markdown 形式写入 `Workbench/daily/YYYY-MM-DD.md`(评分 + 锐评),需一并查看最近的 daily 总结作为待读来源
3. `Workbench/memory/insights.md` — 近期 insight(关注 status: validated 且近 30 天内的条目)
4. `Workbench/memory/patterns.md` — 近期 pattern
5. 用 Glob 列出最近 3 天的 `Workbench/logs/YYYY-MM-DD.md`,用 Read 读取,了解近期执行了什么(避免重复行动)
6. `Workbench/survey-updates.json` — 各 survey 积压的新论文(信息流闭环的消费信号)
7. 用 Glob 列出最近的 `News/YYYY-MM-DD.md`(若目录存在),了解非论文信息源的最新动态线索
8. `Workbench/runs/` 中最近的 `partial` / `in_progress` manifest(格式见 `references/research-run-protocol.md`)——优先恢复同一目标的安全 checkpoint,避免重复搜索和 digest
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add kendrick-stein/mcislab_deepread/autoresearch@sha256:30325254e52c8b32

The line at the top of this page pins the label git:20260728.634c4b7, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ynxpll23kql7ony5.svg)](https://markdownregistry.com/a/art_ynxpll23kql7ony5)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Jul 8, 2026 and Jul 28, 2026, about one every 5 days.

versioncommittedcommitsizeaudit
git:20260728.634c4b7 latest2026-07-28 634c4b7 10,128 BA view · diff
git:20260724.32f0da42026-07-24 32f0da4 9,765 BA view · diff
git:20260723.fb64ba42026-07-23 fb64ba4 9,780 BA view · diff
git:20260721.f94abc22026-07-21 f94abc2 8,225 BA view · diff
git:20260708.9d6bcbe2026-07-08 9d6bcbe 7,671 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (10128 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

GitHub

kendrick-stein/mcislab_deepread · 12 stars · license none declared · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ynxpll23kql7ony5
GET https://markdownregistry.com/api/v1/resolve?ref=kendrick-stein/mcislab_deepread/autoresearch
GET https://markdownregistry.com/api/v1/blob/30325254e52c8b32f7a9910477ad9a9a8254e038420b6044b18d34ca218f438a

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.

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