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/evaluate-scenario-impact

Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers.

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de-anthropocentric-research-engine
499200 skills
Install
$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill evaluate-scenario-impact --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/evaluate-scenario-impact

Context preview

The summary Claude sees to decide when to auto-load this skill.

Evaluate a fixed candidate, research path, or portfolio under one explicit scenario using stable criteria and return impact, tradeoffs, and failure triggers.

SKILL.md

evaluate-scenario-impact.SKILL.md
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-scenario-impact

Purpose

Evaluate one fixed candidate, path, or portfolio under one explicit scenario.

Input contract

required: [candidate, scenario, evaluation_criteria]
optional: [baseline, metric_definitions, vulnerability_rules]
constraints: [criteria, units, and scenario assumptions remain fixed during evaluation]

Procedure

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.

Output contract

produces: [impact_assessment, metric_results, tradeoffs, vulnerabilities, failure_triggers]
delta_fields: [findings, uncertainties, decisions]

Quality gates

  • All declared criteria are addressed with units or explicit qualitative scales.
  • Vulnerable or failing members are named, not hidden in aggregate scores.
  • Scenario assumptions and baseline are cited for every comparison.

Parameterization

Caller supplies candidate schema, scenario schema, criteria, metric formulas, baseline, and vulnerability thresholds.

Failure and counterexamples

Reject evaluations that change scenario assumptions midstream or report aggregate impact without member-level checks.

Provenance map

  • concept: convergence/portfolio-evaluation-per-scenario
  • concept: experiment-execution/scenario-impact-assessment
  • intermediate: Pass3/evaluate-scenario
  • intermediate: Pass3/assess-scenario-impact
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Ships withde-anthropocentric-research-engine

The complete research orchestration system for AI-native science. What It Does Design Philosophy Architecture (v3.2.2) Quick Start Configuration Roadmap License DARE is not a tool that helps you do research. It is the researcher.

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Python
Language
Apache-2.0
License
9h ago
Last commit
7mo ago
Created

Repo: yogsoth-ai/de-anthropocentric-research-engine