Agent skill

monitor-experiment

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

Stars 6,306
Forks 582

Install this agent skill to your Project

npx add-skill https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/skills-codex/monitor-experiment

SKILL.md

Monitor Experiment Results

Monitor: $ARGUMENTS

Workflow

Step 1: Check What's Running

bash
ssh <server> "screen -ls"

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 4: Summarize Results

Present results in a comparison table:

| Experiment | Metric | Delta vs Baseline | Status |
|-----------|--------|-------------------|--------|
| Baseline  | X.XX   | —                 | done   |
| Method A  | X.XX   | +Y.Y              | done   |

Step 5: Interpret

  • Compare against known baselines
  • Flag unexpected results (negative delta, NaN, divergence)
  • Suggest next steps based on findings

Step 6: Feishu Notification (if configured)

After results are collected, check ~/.codex/feishu.json:

  • Send experiment_done notification: results summary table, delta vs baseline
  • If config absent or mode "off": skip entirely (no-op)

Key Rules

  • Always show raw numbers before interpretation
  • Compare against the correct baseline (same config)
  • Note if experiments are still running (check progress bars, iteration counts)
  • If results look wrong, check training logs for errors before concluding

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