| name | result-analyst |
| description | Spawn an isolated result-analyst subagent to read docs/ and outputs/ and produce a structured experiment summary with metric tables, key findings, and next-step recommendations. |
| tags | ["m2g-net","results","analysis","subagent"] |
| version | 1.0.0 |
| user-invocable | true |
| allowed-tools | ["Agent"] |
Result Analyst — Subagent Launcher
Spawns an isolated read-only subagent that analyzes M2G-NET experiment outputs.
No files are modified. The subagent only reads and summarizes.
When to Invoke
- After completing a training + evaluation run
- When you want a summary of what the latest experiments show
- Before writing the results section of the manuscript
- When comparing multiple experiment variants
How to Invoke
Agent(
description="Analyze M2G-NET experiment results",
subagent_type="general-purpose",
prompt=[contents of .agents/subagents/result-analyst/agent.yaml default_prompt]
)
What it Analyzes
- All
.md files in docs/ matching *RESULTS*.md, *REPORT*.md, *SUMMARY*.md
- All
.csv files in outputs/
- Identifies best model variant, regressions, and anomalies
Output
Returns a structured report under 400 words:
- Metric table (ROC-AUC, ECE, F1 per model variant)
- Key findings with file references
- Regressions vs. prior runs
- Recommended next experiments (specific, actionable)
