yogsoth-ai/de-anthropocentric-research-engine

coverage-white-space-search

Map known methods against problem/parameter space and generate candidates from uncovered and weakly covered intersections.

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How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. 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 coverage-white-space-search

Before 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.

coverage-white-space-search

Purpose

Map known methods against a problem space and generate candidates from intersections that are uncovered or covered without being closed.

Input contract

yaml
required: [reference_items, coverage_dimensions]
optional: [performance_records, eligibility_rules]
constraints: [reference items and dimension values must be identifiable]

Execution protocol

Do not perform called SOP operations inline; each loaded SOP owns its contract and thresholds.

  1. You MUST load skill inventory-reference-items to inventory references.
  2. You MUST load skill map-coverage-space to map coverage and grade its strength.
  3. You MUST load skill detect-coverage-gap to detect uncovered and weakly covered regions.
  4. You MUST load skill synthesize-idea to synthesize candidates.

If a candidate gap is ready to become a testable explanation, consider formulate-hypotheses. If the gap itself still requires evidence validation, consider validate-research-gap. Deviation: acquisition is runtime-selected; do not infer coverage from missing records.

Output contract

yaml
produces: [reference_inventory, coverage_map, white_space_gaps, candidate_ideas]
delta_fields: [findings, evidence_updates, hypothesis_updates, decisions, open_questions]

Thresholds and quality gates

  • B: every reported gap is either an explicit uncovered intersection over the declared dimensions or an occupied intersection graded below full support, with its covering items and specific shortfall named; duplicate or ineligible regions are excluded.

Failure and counterexamples

Do not label a region white space when it is merely unsearched, incomparable, or outside the declared universe, and do not treat a region as closed because items occupy it.

Provenance map

  • systematic-enumeration, benchmark-sweep, coverage-analysis, white-space-identification, benchmark-inventory, coverage-gap-detection, white-space-detection: resolved/concept by exact lookup.
  • Status: all except benchmark-inventory resolved; benchmark-inventory concept (only package-prefixed variant found).

Preserved source criteria ledger

  • Preserve inventory -> coverage crossing -> gap detection -> candidate synthesis.

Context checkpoint / Delta notes

Append inventory additions, occupied cells with strength grades, gap definitions, exclusions, and generated candidates.

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