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.
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
ssh <server> "screen -ls"
Step 2: Collect Output from Each Screen
For each screen session, capture the last N lines:
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
ssh <server> "ls -lt <results_dir>/*.json 2>/dev/null | head -20"
If JSON results exist, fetch and parse them:
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_donenotification: 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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