deep-insight-failure-mode-cataloging

Testing & Quality

Systematic failure mode cataloging — generate boundary inputs, observe failures, cluster by mechanism, identify triggers, estimate frequency.

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How to use this skill

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Prompt to paste

I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/yogsoth-ai/de-anthropocentric-research-engine/blob/HEAD/skills/deep-insight-failure-mode-cataloging/SKILL.md

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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>

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.