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Skill

/calibrate-adversarial-confidence

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

From plugin
de-anthropocentric-research-engine
507200 skills

Claude Code

$ npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill calibrate-adversarial-confidence --agent claude-code

SKILL.md

calibrate-adversarial-confidence.SKILL.md
name: calibrate-adversarial-confidence
description: "Track confidence in competing claims/roles across adversarial rounds and update confidence only when evidence or argument quality warrants it."

calibrate-adversarial-confidence

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
Read more
@yogsoth-ai
Ships withde-anthropocentric-research-engine

A research skill graph for AI-native science. 271 markdown files. No runtime, no dependencies, no build step.

Stars on GitHub

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stars in total
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Star history of yogsoth-ai/de-anthropocentric-research-engine on GitHub, a chart by star-history.com

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Questions about calibrate-adversarial-confidence.

Which coding agents can use calibrate-adversarial-confidence?
calibrate-adversarial-confidence installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.