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-current-reality-treeBefore 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-current-reality-tree
Purpose
Build a sufficient-cause Current Reality Tree linking undesirable effects to a small root set.
Input contract
yaml
required: [undesirable_effects, causal_evidence]
optional: [candidate_causes, system_boundary]
constraints: [each AND/OR connection requires a stated causal rationale]Procedure
- Normalize undesirable effects into observable statements.
- Connect effects with sufficient-cause relationships, marking AND requirements.
- Trace converging chains to a small root set and test each link.
Output contract
yaml
produces: [current_reality_tree, root_cause_candidates, causal_rationale]
delta_fields: [findings, assumption_updates, uncertainties, decisions]Quality gates
- Every effect has an incoming explanation or is marked unexplained; root candidates explain multiple effects where evidence supports it.
Failure and counterexamples
Do not infer causality from co-occurrence, and do not force a single root when independent roots remain.
Provenance map
deep-insight/current-reality-tree: resolved.
