failure-mode-analysis

name	failure-mode-analysis
description	Systematically catalog failure modes — generate edge cases, observe failures, cluster by mechanism, identify triggers and frequency.
dependencies	{"tactics":["deep-insight-failure-mode-cataloging"],"sops":["edge-case-generation","failure-clustering","scaling-regime-detection"]}

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.