abstract-structure
Remove domain surface details to expose transferable relational/mechanistic structure at a chosen abstraction level.
Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers.
Claude Code
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-impact --agent claude-code
Codex
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-impact -a codex -y
Cursor
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-impact -a cursor -y
Gemini CLI
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-impact -a gemini-cli -y
GitHub Copilot
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-impact -a github-copilot -y
OpenCode
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-impact -a opencode -y
Windsurf
$ npx skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-impact -a windsurf -y
name: evaluate-scenario-impact description: "Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers."
Evaluate one fixed candidate, path, or portfolio under one explicit scenario.
required: [candidate, scenario, evaluation_criteria] optional: [baseline, metric_definitions, vulnerability_rules] constraints: [criteria, units, and scenario assumptions remain fixed during evaluation]
1. Instantiate the candidate under scenario assumptions. 2. Compute or qualitatively assess each declared criterion. 3. Identify tradeoffs, vulnerabilities, and failure triggers. 4. Return impact evidence and unresolved uncertainties.
If the impact estimate depends on uncertain drivers or parameter choices, consider `assess-sensitivity` as the next tactic.
produces: [impact_assessment, metric_results, tradeoffs, vulnerabilities, failure_triggers] delta_fields: [findings, uncertainties, decisions]
Caller supplies candidate schema, scenario schema, criteria, metric formulas, baseline, and vulnerability thresholds.
Reject evaluations that change scenario assumptions midstream or report aggregate impact without member-level checks.
A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.
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