run-experiment SKILL.md skillB
run-experiment 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/run-experiment@git:20260702.569dd51Pins git:20260702.569dd51 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- wanshuiyin/auto-claude-code-research-in-sleep
- Path
skills/skills-codex/run-experiment/SKILL.md- Versions recorded
- 4
- Latest version
- git:20260702.569dd51, committed Jul 2, 2026
- First version recorded
- Mar 18, 2026
- Size
- 8,909 bytes
- Repository stars
- 18,383
- License
- MIT
Deploy and run ML experiments on local or remote GPU servers. Use when user says "run experiment", "deploy to server", "\u8dd1\u5b9e\u9a8c", or needs to launch training jobs.
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
# Run Experiment Deploy and run ML experiment: $ARGUMENTS ## Workflow ### Step 1: Detect Environment Read the project's `AGENTS.md` to determine the experiment environment: - **Local GPU**: Look for local CUDA/MPS setup info - **Remote server**: Look for SSH alias, conda env, code directory - **Vast.ai instance**: Look for `gpu: vast`, `vast_instance`, SSH host/port, remote path, and optional `auto_destroy` - **Modal serverless**: Look for `gpu: modal`, app/function name, image/dependency setup, and secrets If no server info is found in `AGENTS.md`, ask the user. **Environment contract** (`../shared-references/compute-env-contract.md`): before building or trusting any environment, read the provider's env ledger (`.aris/compute/<provider>.md`) — an unchanged spec hash means warm-reuse, a changed one means rebuild. New env → write the declarative spec first, render it for this provider's shape, and never declare it ready on import-success alone: run the seeded kernel witness, and after any rebuild/doc edit run the agent-follows-doc pass (a fresh subagent executes the documented invocation verbatim and reports doc-vs-reality divergence). ### Step 2: Pre-flight Check …
Read the whole file at its exact version.
How to install
mdr add wanshuiyin/auto-claude-code-research-in-sleep/run-experiment@sha256:8325128eab14c7f8The line at the top of this page pins the label git:20260702.569dd51, 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_in5vlygevad54pdm)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Mar 18, 2026 and Jul 2, 2026, about one every 36 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260702.569dd51 latest | 2026-07-02 | 569dd51 | 8,909 B | B | view · diff |
| git:20260427.0aec5ea | 2026-04-27 | 0aec5ea | 8,321 B | B | view · diff |
| git:20260318.6dc36e8 | 2026-03-18 | 6dc36e8 | 5,696 B | B | view · diff |
| git:20260318.d97938e | 2026-03-18 | d97938e | 3,718 B | B | view |
Audit of the latest version
- fail: No script tag (matched: <script)
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8909 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
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
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_in5vlygevad54pdm GET https://markdownregistry.com/api/v1/resolve?ref=wanshuiyin/auto-claude-code-research-in-sleep/run-experiment GET https://markdownregistry.com/api/v1/blob/8325128eab14c7f82213d44c8e78e98f44ca680baa9c78f3bee8766f8e9f464a
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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