---
name: yogsoth-ai/deep-insight-failure-mode-cataloging
source: https://app.decimal.ai/s/yogsoth-ai-deep-insight-failure-mode-cataloging@1/SKILL.md
source_sha256: 1ce01f4306f0
---

# Failure Mode Cataloging

Build a comprehensive failure taxonomy.

## Operations

- edge-case-generation → failure-clustering → scaling-regime-detection

## Available SOPs

**Subagent:** edge-case-generation, failure-clustering, scaling-regime-detection
**Import:** web-search

## Execution Guidance

Generate edge cases systematically (boundary values, adversarial inputs, distribution shifts, scale extremes), observe which cause failures, cluster failures by mechanism, identify common triggers.

## Minimum Yield

```
<HARD-GATE>
- edge cases generated: >= 20
- failure clusters identified: >= 3
- triggers per cluster: >= 1
</HARD-GATE>
```

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## Available SOPs

Optional, no fixed order; the final leaf is always a sop.

| SOP | When to use |
| --- | --- |
| deep-insight-web-search | Quick web scanning for landscape understanding. Import of web-browsing/web-search skill. Snippets only — no conclusions from snippets alone. |
| 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. |

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