How to use
- Copy the installation command and review the source package before installing it in your own agent environment.
- Check the source document for required tools, credentials and supported hosts.
- Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/yogsoth-ai/de-anthropocentric-research-engine --skill build-failure-chainBefore you start
- Installation does not include a model subscription, API allowance or permission to access your files.
- Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document
Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.
build-failure-chain
Purpose
Build cause -> failure mode -> effect chains and identify cascades and shared roots.
Input contract
yaml
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
yaml
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
