build-failure-chain
SkillDev toolsLets your agent build claude skill outputs that map causes to failure modes and effects in multi-level chains.
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 build-failure-chain skill
About this skill
Build multi-level cause -> failure mode -> effect chains and identify cascades/shared roots.
What this skill tells your AI
The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/build-failure-chain/SKILL.md and read by ahel’s review.
Purpose
Build cause -> failure mode -> effect chains and identify cascades and shared roots.
Input contract
required: [functions_or_process, failure_modes, observed_effects]
optional: [causal_evidence, dependency_graph]
constraints: [each edge needs a mechanism or evidence note]
Procedure
- Place causes, failure modes, and effects in typed levels.
- Connect edges and record mechanism/evidence.
- Mark cascades, shared roots, and unresolved links.
Output contract
produces: [failure_chain, cascade_map, shared_root_report]
delta_fields: [findings, evidence_updates, uncertainties, decisions]
Quality gates
- Every effect has a traceable upstream path or is marked unexplained.
- Cycles and unsupported edges are flagged.
Failure and counterexamples
Do not collapse correlation into a causal chain without an evidence or mechanism note.
Provenance map
- resolved: failure-chain-construction
- resolved: failure-clustering
Signals
- GitHub stars
- 501
- Forks
- 41
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Key
build-failure-chain- Source
- github.com/yogsoth-ai/de-anthropocentric-research-engine