monitor-experiment SKILL.md skillA

monitor-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.

Install it, pinned
mdr add wanshuiyin/auto-claude-code-research-in-sleep/monitor-experiment@git:20260427.0aec5ea

Pins git:20260427.0aec5ea 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/skills-codex/monitor-experiment/SKILL.md
Versions recorded
2
Latest version
git:20260427.0aec5ea, committed Apr 27, 2026
First version recorded
Mar 18, 2026
Size
3,378 bytes
Repository stars
18,690
License
MIT

Monitor running experiments, check progress, collect results. Use when user says "check results", "is it done", "monitor", or wants experiment output.

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

# Monitor Experiment Results

Monitor: $ARGUMENTS

## Workflow

### Step 1: Check What's Running

First identify the backend from `AGENTS.md`, run notes, or launch summary: local, SSH, Vast.ai, or Modal. Monitor the backend that was actually used; do not assume a plain SSH screen session when the run was launched through Vast.ai or Modal.

```bash
ssh <server> "screen -ls"
```

For Vast.ai, also check instance state, SSH reachability, hourly cost, and whether `auto_destroy` is pending. For Modal, check the Modal run/app logs, function status, timeout, volume outputs, and cloud cost exposure.

### Step 2: Collect Output from Each Screen
For each screen session, capture the last N lines:
```bash
ssh <server> "screen -S <name> -X hardcopy /tmp/screen_<name>.txt && tail -50 /tmp/screen_<name>.txt"
```

If hardcopy fails, check for log files or tee output.

### Step 3: Check for JSON Result Files
```bash
ssh <server> "ls -lt <results_dir>/*.json 2>/dev/null | head -20"
```

If JSON results exist, fetch and parse them:
```bash
ssh <server> "cat <results_dir>/<latest>.json"
```

### Step 3.5: Pull W&B Metrics (when `wandb: true` in AGENTS.md)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add wanshuiyin/auto-claude-code-research-in-sleep/monitor-experiment@sha256:66a42b21a7ec5a9c

The line at the top of this page pins the label git:20260427.0aec5ea, 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_gx7tehfe4piuxrdx.svg)](https://markdownregistry.com/a/art_gx7tehfe4piuxrdx)

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

Versions

The registry has recorded 2 versions of this file, between Mar 18, 2026 and Apr 27, 2026, about one every 41 days.

versioncommittedcommitsizeaudit
git:20260427.0aec5ea latest2026-04-27 0aec5ea 3,378 BA view · diff
git:20260318.d97938e2026-03-18 d97938e 1,795 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 (3378 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

wanshuiyin/auto-claude-code-research-in-sleep · 18,690 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_gx7tehfe4piuxrdx
GET https://markdownregistry.com/api/v1/resolve?ref=wanshuiyin/auto-claude-code-research-in-sleep/monitor-experiment
GET https://markdownregistry.com/api/v1/blob/66a42b21a7ec5a9c4ee2d4da6babfd533764d6c4188dcc178d5bcbd1d8a31072

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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