calibrate-adversarial-confidence

SkillDev tools

Lets your agent track how confident it should be in competing claims across debate rounds, updating only when evidence justifies it.

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 calibrate-adversarial-confidence skill

About this skill

Track confidence in competing claims/roles across adversarial rounds and update confidence only when evidence or argument quality warrants it.

What this skill tells your AI

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

Purpose

Track confidence in competing claims or roles across adversarial rounds and update only when evidence or argument quality warrants it.

Input contract

required: [round_records, competing_claims, update_rule]
optional: [prior_confidence, calibration_history]
constraints: [every update cites evidence or argument-quality change]

Procedure

  1. Record each round's claims, arguments, and evidence.
  2. Apply the declared update rule and preserve dissent.
  3. Mark escalation, continuation, termination, or saturation with rationale.

Output contract

produces: [confidence_trace, update_rationale, round_status, unresolved_dissent]
delta_fields: [findings, evidence_updates, uncertainties, decisions]

Quality gates

  • A-class calibration: declared universe = all completed debate rounds; numerator = rounds with evidence-linked updates; batch increment = one round; stopping reason = confidence stabilizes or unresolved dissent is explicit; source references = round/evidence IDs; direction/threshold reason = update only toward claims supported by new evidence or stronger argument.

Failure and counterexamples

Do not update confidence for rhetoric, repetition, or role status alone.

Provenance map

  • resolved: adversarial-escalation
  • concept: confidence-escalation [sop]
  • resolved: confidence-calibration

Signals

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