evaluate-scenario-impact

SkillDev tools

Lets your agent evaluate a candidate, research path, or portfolio under one scenario and report impact, tradeoffs, and failure triggers.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the evaluate-scenario-impact skill

About this skill

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

What this skill tells your AI

The instructions your AI receives, as published by yogsoth-ai/de-anthropocentric-research-engine in skills/evaluate-scenario-impact/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
501
Forks
41
Last commit
Sep 2026
Advanced
Catalog kind
skill
Key
evaluate-scenario-impact
Source
github.com/yogsoth-ai/de-anthropocentric-research-engine