enumerate-failure-modes
SkillDev toolsLets your agent turn functions, process steps, or scenarios into explicit lists of failure modes.
Available today. Use it from your connected AI after setup.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
Then ask your AI: use the enumerate-failure-modes skill
About this skill
Convert functions/process steps/scenarios into explicit failure modes.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/enumerate-failure-modes/SKILL.md and read by ahel’s review.
Purpose
Convert functions, process steps, or scenarios into explicit failure modes.
Input contract
required: [functions_or_steps, intended_outcomes, operating_conditions]
optional: [failure_history, stakeholders]
constraints: [failure mode must state deviation from intended outcome]
Procedure
- Decompose functions or steps.
- Enumerate plausible deviations and affected outcomes.
- Record causes, effects, detectability, and evidence gaps.
Output contract
produces: [failure_mode_register, cause_candidates, effect_candidates, detection_notes]
delta_fields: [findings, evidence_updates, uncertainties, open_questions]
Quality gates
- Each mode has a function/step, deviation, effect, and provenance.
Failure and counterexamples
Do not list generic risks without a specific function or operating condition.
Provenance map
- resolved: failure-mode-extraction
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
enumerate-failure-modes- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine