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When the agent's epistemic state (GCCRF) indicates low empowerment and falling certainty, hedges out confident absolutes ("definitely", "always", "100%") in outgoing messages.
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决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
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npx skills add https://github.com/Bitterbot-AI/bitterbot-desktop --skill calibrate-claim-confidence命令会保持在同一行。复制前请横向滚动并检查完整内容。
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| name | calibrate-claim-confidence |
| description | When the agent's epistemic state (GCCRF) indicates low empowerment and falling certainty, hedges out confident absolutes ("definitely", "always", "100%") in outgoing messages. |
| tier | executable |
| bitterbot | {"always":true,"interceptors":[{"id":"calibrate-claim-confidence:default","builtin":true,"activates_on":"send_message-shaped tools when GCCRF empowerment < 0.3 and certaintyDelta < 0","intervention":"modify (hedge confident absolutes)"}]} |
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.
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.
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.
