yogsoth-ai Failure Mode Analysis
Build a comprehensive failure taxonomy for a method.
Budget
| Base SOP | Target | ±10% Range |
|---|---|---|
| web-search | 40 | 36–44 |
| web-research | 15 | 13–17 |
| paper-overview | 40 | 36–44 |
| paper-search | 25 | 22–28 |
| paper-research | 10 | 9–11 |
State Ledger
<HARD-GATE>
| SOP | Done | Target | % |
|-----|------|--------|---|
| web-search | ? | 40 | ? |
| web-research | ? | 15 | ? |
| paper-overview | ? | 40 | ? |
| paper-search | ? | 25 | ? |
| paper-research | ? | 10 | ? |
Budget Gate: OPEN/CLOSED (>=80% required to exit)
</HARD-GATE>
Available Tactics
- failure-mode-cataloging
Available SOPs
Import: web-search, web-research, paper-overview, paper-search, paper-research Subagent: edge-case-generation, failure-clustering, scaling-regime-detection
Execution Guidance
Generate systematic edge cases, observe failure patterns, cluster into failure modes, identify triggering conditions and frequency estimates.
Available Tactics
Optional, no fixed order; the final leaf is always a sop.
| Tactic | When to use |
|---|---|
| deep-insight-failure-mode-cataloging | Systematic failure mode cataloging — generate boundary inputs, observe failures, cluster by mechanism, identify triggers, estimate frequency. |
Available SOPs
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| edge-case-generation | Systematically generate boundary inputs — boundary values, adversarial constructions, distribution shifts, rare combinations, scale extremes. |
| failure-clustering | Group observed failures by mechanism (not symptom), identify common triggers per cluster, estimate frequency and severity. |
| scaling-regime-detection | Detect regime changes in scaling behavior — breakpoints where behavior qualitatively shifts, mechanisms behind transitions. |