experiment-design SKILL.md skillA
experiment-design from kendrick-stein/mcislab_deepread is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add kendrick-stein/mcislab_deepread/experiment-design@git:20260428.bf023ecPins git:20260428.bf023ec 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/3-experiment/experiment-design/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260428.bf023ec, committed Apr 28, 2026
- Size
- 11,942 bytes
- Repository stars
- 12
- License
- none declared
当 Supervisor 说"设计个实验""怎么验证这个 idea"， 或 autoresearch 判断某个 developing/validated idea 需要实验验证时， 为 idea 设计完整实验方案.
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 experiment-design 是 MindFlow 从 idea 到实验的桥接技能。给定一个 status 为 `developing` 或 `validated` 的研究 idea，它综合 idea 的 hypothesis、历史记忆中的有效方法与失败方向，为其设计完整的实验方案，并按 `Templates/Experiment.md` 格式写入 `Experiments/` 目录。 实验方案覆盖六个核心模块： | 模块 | 内容 | | :--- | :--- | | **Variables** | 自变量 / 因变量 / 控制变量 | | **Baseline** | 对比方法与来源 | | **Metrics** | 可量化的评估指标 | | **Steps** | 具体执行步骤 | | **Expected Outcome** | 假设成立与不成立两种情况 | | **Risk & Mitigation** | 主要风险点与应对方案 | ## Steps ### Step 1：读取目标 Idea 笔记，验证 status 用 Read 打开 `idea` 参数指向的 `Ideas/xxx.md` 文件。重点提取以下字段： - `title`：idea 标题 - `hypothesis`：核心假设（实验围绕此展开） - `status`：当前状态——**必须为 `developing` 或 `validated`，否则立即停止执行并告知 Supervisor** - `tags`：所属 domain / 领域关键词 - `related_papers`：引用的 Paper 笔记列表 - idea 正文中的 Motivation、approach sketch（有助于确定 Variables 和 Steps） 若文件不存在，停止并告知 Supervisor，不继续执行。 ### Step 2：检索历史记忆 读取 `skills/5-evolution/memory-retrieve/SKILL.md`，按其 Steps 执行，scope 设为 `effective-methods` + `failed-directions`，query 使用 idea 的 hypothesis 和 tags 关键词。 从检索结果中识别： - **可复用的有效方法**：可直接借鉴到本实验的 baseline 选取、metric 设计、实验步骤 - **需要规避的失败方向**：历史上已被证明无效或高风险的路径，列入 Risk & Mitigation 若记忆文件不存在或无相关条目，跳过此步，在实验方案中注明"无历史记忆参考"。 ### Step 3：设计实验方案六部分 …
Read the whole file at its exact version.
How to install
mdr add kendrick-stein/mcislab_deepread/experiment-design@sha256:d8fa46cb7089434eThe line at the top of this page pins the label git:20260428.bf023ec, 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_jtpq377f4mturo4e)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Apr 28, 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 (11942 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
kendrick-stein/mcislab_deepread · 12 stars · license none declared · pushed 2026-10-19 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jtpq377f4mturo4e GET https://markdownregistry.com/api/v1/resolve?ref=kendrick-stein/mcislab_deepread/experiment-design GET https://markdownregistry.com/api/v1/blob/d8fa46cb7089434e650e8f6b6de918e5c3a2049d92454b2fb4991451fb20db44
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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