abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Eliminate alternatives that violate any hard threshold and report the exact violation.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-veto-filter --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-veto-filter -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-veto-filter -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-veto-filter -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-veto-filter -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-veto-filter -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill apply-veto-filter -a windsurf -y
name: apply-veto-filter description: "Eliminate alternatives that violate any hard threshold and report the exact violation."
Eliminate alternatives that violate any declared hard threshold and expose the exact veto condition for each removal.
required: [alternatives, hard_constraints, measured_values] optional: [constraint_priorities, missing_value_policy] constraints: [each alternative is tested against every hard constraint; missing measurements cannot silently pass]
1. Bind each hard constraint to its direction, threshold, unit, and evidence source. 2. Check every alternative against every constraint and record pass, fail, or unknown per cell. 3. Veto an alternative when any hard constraint fails; keep unknowns separate from passes. 4. Return survivors, vetoed alternatives, violated constraints, and unresolved checks.
produces: [survivor_set, veto_log, unresolved_checks] delta_fields: [findings, evidence_updates, uncertainties, decisions]
Do not replace a hard veto with a weighted average. If a value is missing, report unknown rather than treating it as compliant.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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