# Calibrate Claim Confidence

> When the agent's epistemic state (GCCRF) indicates low empowerment and falling certainty, hedges out confident absolutes ("definitely", "always", "100%") in outgoing messages.

- Skill: `bitterbot-ai/calibrate-claim-confidence` (Agent Skill)
- Install (CLI): `npx skillmds@latest add bitterbot-ai/calibrate-claim-confidence`
- Raw SKILL.md: https://api.skillmd.com/api/skills/bitterbot-ai/calibrate-claim-confidence/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: bitterbot-ai (https://skillmd.com/u/bitterbot-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/bitterbot-ai/calibrate-claim-confidence

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# calibrate-claim-confidence

Bitterbot has an epistemic state (the GCCRF reward function) that quantifies how empowered the agent feels by its current knowledge: high empowerment means it has corroborated context, low means it's running on uncertain ground. When the agent is about to send a message containing confident absolutes ("definitely", "certainly", "always", "100%") but its empowerment is low and its certainty is dropping, this interceptor rewrites the message into hedged language.

This is the canonical example of state-binding: no other agent framework reads `gccrf.empowerment` to decide whether to hedge an outgoing statement.

## What you'll see

When the agent is uncertain, you will see softer language: "likely" instead of "definitely", "typically" instead of "always", "it appears" instead of "obviously". When it is confident (high empowerment, rising certainty), absolutes are left intact.

## Implementation

Built-in interceptor `calibrate-claim-confidence:default` lives in `src/agents/skills/builtin-interceptors/calibrate-claim-confidence.ts`. Fires up to 6 times per session.