loujc/auto-claude-code-research-in-sleep-manual/monitor-experiment

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

Install

npx vskill@latest install loujc/auto-claude-code-research-in-sleep-manual/monitor-experiment

SKILL.md

The same SKILL.md was published earlier as kwongfuk/codex-skills/monitor-experiment.

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

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

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Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

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