Experiment Status | Skills Pool

Skill File

Experiment Status

Check status of running autonomous experiment loops

Xiangyue-Zhang547 starsApr 8, 2026

Occupation: Data Scientists
Categories: Lab Tools

Skill Content

Check the current status of your autonomous experiment agent.

Usage

/experiment-status
/experiment-status --project /path/to/project

Behavior

Read PROJECT_BRIEF.md — show the research goal
Read MEMORY_LOG.md — show key results and recent decisions
Read .cycle_counter — show how many cycles completed
Check for running training processes (via PID files or pgrep)
If training is running, tail the log file for latest output
Show GPU utilization for the project's GPUs
Check if HUMAN_DIRECTIVE.md exists (pending directive)

Output Format

Related Skills

# Experiment Status — my-project

## Goal
Train ViT-B/16 on ImageNet to 78%+ accuracy

## Progress
- Cycles completed: 4
- Current best: 78.3% (Exp004, ViT-B/16 + cosine + mixup)
- Status: TRAINING (PID 12345, GPU 0, running 3.2h)

## Latest Training Log
Epoch 45/90 | loss: 2.134 | acc: 77.1% | lr: 1.2e-4

## Recent Decisions
1. [04-08 14:45] Target reached with mixup, trying stronger augmentation
2. [04-08 06:00] Cosine schedule helped, adding regularization

## Pending Directive
None (drop a file at workspace/HUMAN_DIRECTIVE.md to intervene)