experiment-plan SKILL.md skillA
experiment-plan from wanshuiyin/auto-claude-code-research-in-sleep is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add wanshuiyin/auto-claude-code-research-in-sleep/experiment-plan@git:20260529.8d26958Pins git:20260529.8d26958 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wanshuiyin/auto-claude-code-research-in-sleep
- Path
skills/experiment-plan/SKILL.md- Versions recorded
- 4
- Latest version
- git:20260529.8d26958, committed May 29, 2026
- First version recorded
- Mar 16, 2026
- Size
- 9,728 bytes
- Repository stars
- 18,383
- License
- MIT
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.
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
# Experiment Plan: Claim-Driven, Paper-Oriented Validation Refine and concretize: **$ARGUMENTS** ## Overview Use this skill after the method is stable enough that the next question becomes: **what exact experiments should we run, in what order, to defend the paper?** If the user wants the full chain in one request, prefer `/research-refine-pipeline`. The goal is not to generate a giant benchmark wishlist. The goal is to turn a proposal into a **claim -> evidence -> run order** roadmap that supports four things: 1. the method actually solves the anchored problem 2. the dominant contribution is real and focused 3. the method is elegant enough that extra complexity is unnecessary 4. any frontier-model-era component is genuinely useful, not decorative ## Constants - **OUTPUT_DIR = `refine-logs/`** — Default destination for experiment planning artifacts. - **MAX_PRIMARY_CLAIMS = 2** — Prefer one dominant claim plus one supporting claim. - **MAX_CORE_BLOCKS = 5** — Keep the must-run experimental story compact. - **MAX_BASELINE_FAMILIES = 3** — Prefer a few strong baselines over many weak ones. …
Read the whole file at its exact version.
How to install
mdr add wanshuiyin/auto-claude-code-research-in-sleep/experiment-plan@sha256:c5b53692ff95b0b5The line at the top of this page pins the label git:20260529.8d26958, 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_szwggmgpn6gmtcbw)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Mar 16, 2026 and May 29, 2026, about one every 25 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260529.8d26958 latest | 2026-05-29 | 8d26958 | 9,728 B | A | view · diff |
| git:20260413.c392ccc | 2026-04-13 | c392ccc | 9,735 B | A | view · diff |
| git:20260316.1cc0b79 | 2026-03-16 | 1cc0b79 | 9,290 B | A | view · diff |
| git:20260316.fa76267 | 2026-03-16 | fa76267 | 9,087 B | A | view |
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 (9728 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
wanshuiyin/auto-claude-code-research-in-sleep · 18,383 stars · license MIT · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_szwggmgpn6gmtcbw GET https://markdownregistry.com/api/v1/resolve?ref=wanshuiyin/auto-claude-code-research-in-sleep/experiment-plan GET https://markdownregistry.com/api/v1/blob/c5b53692ff95b0b55e80702e33afc79d9fe8d4f55a69e2a39714013f97ac595e
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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