evaluate-optionality

SkillDev tools

Lets your agent weigh whether to act now, wait, or stage a decision when outcomes are uncertain.

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-optionality skill

About this skill

Evaluate the value of staging, deferral, reversible commitment, and information-gathering options under uncertainty; return decision-relevant option value and trigger conditions.

What this skill tells your AI

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

Purpose

Evaluate staging, deferral, reversible commitment, and information-gathering options under uncertainty.

Input contract

required: [decision_options, uncertainty_register, time_horizon, consequence_model]
optional: [irreversibility_costs, information_actions, trigger_conditions]
constraints: [each option states timing, reversibility, information gained, and consequence range]

Procedure

  1. Represent immediate, deferred, staged, and information-gathering actions on a common timeline.
  2. Estimate each action's reversible value, delay cost, information gain, and downside exposure.
  3. Identify trigger conditions that would justify advancing, pausing, or abandoning each staged option.
  4. Emit an option-value comparison and the conditions under which deferral is preferable to commitment.

Output contract

produces: [option_value_table, timing_policy, trigger_conditions, uncertainty_notes]
delta_fields: [findings, evidence_updates, uncertainties, decisions, recommended_jumps]

Quality gates

  • Each option includes at least one consequence of acting now and one consequence of waiting.
  • Information value is not counted unless it can change a downstream decision.

Failure and counterexamples

Do not call delay optionality when waiting only postpones an irreversible loss. If trigger conditions are unobservable, mark the option unresolved.

Provenance map

  • resolved: temporal-sequencing

Signals

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