run-experiment SKILL.md skillB
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
run-experiment from autoconference/autoconference-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add autoconference/autoconference-skill/run-experiment@git:20260924.6751570Pins git:20260924.6751570 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- autoconference/autoconference-skill
- Path
skills/aris/run-experiment/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260924.6751570, committed Sep 24, 2026
- Size
- 12,848 bytes
- Repository stars
- 13
- License
- Apache-2.0
Deploy and run ML experiments on local, remote, Vast.ai, or Modal serverless GPU. Use when user says "run experiment", "deploy to server", "跑实验", 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 `CLAUDE.md` to determine the experiment environment: - **Local GPU** (`gpu: local`): Look for local CUDA/MPS setup info - **Remote server** (`gpu: remote`): Look for SSH alias, conda env, code directory - **Vast.ai** (`gpu: vast`): Check for `vast-instances.json` at project root — if a running instance exists, use it. Also check `CLAUDE.md` for a `## Vast.ai` section. - **Modal** (`gpu: modal`): Serverless GPU via Modal. No SSH, no Docker, auto scale-to-zero. Delegate to `/serverless-modal`. **Modal detection:** If `CLAUDE.md` has `gpu: modal` or a `## Modal` section, the entire deployment is handled by `/serverless-modal`. Jump to **Step 4: Deploy (Modal)** — Steps 2-3 are not needed (Modal handles code sync and GPU allocation automatically). **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 …
Read the whole file at its exact version.
How to install
mdr add autoconference/autoconference-skill/run-experiment@sha256:4d481ce95d8bcadbThe line at the top of this page pins the label git:20260924.6751570, 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_ecjco4ywwotfy7go)
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Versions
The registry has recorded 1 version of this file, committed on Sep 24, 2026.
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 (12848 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
autoconference/autoconference-skill · 13 stars · license Apache-2.0 · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ecjco4ywwotfy7go GET https://markdownregistry.com/api/v1/resolve?ref=autoconference/autoconference-skill/run-experiment GET https://markdownregistry.com/api/v1/blob/4d481ce95d8bcadb93b095c3dd9bda51d68b6edea6b710316d6c0c74bb5bcfa8
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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