abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Synthesize multi-axis breakpoints into a multidimensional statement of where a claim/method remains valid.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill construct-validity-envelope --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill construct-validity-envelope -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill construct-validity-envelope -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill construct-validity-envelope -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill construct-validity-envelope -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill construct-validity-envelope -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill construct-validity-envelope -a windsurf -y
name: construct-validity-envelope description: "Synthesize multi-axis breakpoints into a multidimensional statement of where a claim/method remains valid."
Synthesize multi-axis breakpoints into a multidimensional statement of where a claim or method remains valid.
required: [claim_or_method, axis_results, validity_criteria] optional: [boundary_interactions, uncertainty_model, extrapolation_policy] constraints: [each boundary is tied to an axis result and evidence]
1. Align axis scales, directions, and validity labels. 2. Combine breakpoint regions and inspect interaction effects. 3. Mark supported, uncertain, and invalid regions. 4. Emit the envelope with extrapolation warnings and monitoring observables.
produces: [validity_envelope, boundary_conditions, uncertain_regions, monitoring_observables] delta_fields: [findings, uncertainties, open_questions]
Caller supplies axis schema, breakpoint format, validity criteria, interaction policy, and uncertainty representation.
Reject envelopes inferred from one axis, unsupported extrapolation, or boundaries without observables.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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