Skill1.2k repo starsupdated 10d ago

experiment-status

The experiment-status skill monitors autonomous research experiments by retrieving the project goal from PROJECT_BRIEF.md, displaying cycle count and best results from MEMORY_LOG.md, checking active training processes and GPU utilization via the execution backend, and tailing live training logs. Use this skill to quickly assess experiment progress, verify training is running properly, and identify any pending human directives without needing to manually check multiple files or remote systems.

View source Repository: auto-deep-researcher-24x7

Install in Claude Code

Copy

git clone --depth 1 https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7 /tmp/experiment-status && cp -r /tmp/experiment-status/skills/experiment-status ~/.claude/skills/experiment-status

Then start a new Claude Code session; the skill loads automatically.

Definition

SKILL.md

# experiment-status

Check the current status of your autonomous experiment agent.

## Usage

```
Claude Code: /experiment-status
Claude Code: /experiment-status --project /path/to/project
Codex: $experiment-status
```

## Behavior

1. Read `PROJECT_BRIEF.md` — show the research goal
2. Read `MEMORY_LOG.md` — show key results and recent decisions  
3. Read `.cycle_counter` — show how many cycles completed
4. Check for running training processes via the configured execution backend
5. If training is running, tail the log file for latest output
6. Show GPU utilization through the configured backend
7. Check if `HUMAN_DIRECTIVE.md` exists (pending directive)

If `execution.mode=ssh`, controller state still comes from the local project
directory, but PID checks, training logs, and GPU status come from the
configured remote host.

## Output Format

```markdown
# 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)
```