Empirica — AI skill for Claude Code
Make AI agents and AI workflows measurably reliable.
How to install Empirica
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Nubaeon/empirica and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Empirica does
Make AI agents and AI workflows measurably reliable. Epistemic measurement, Noetic RAG, Sentinel gating, and grounded calibration for Claude Code and beyond
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README
Empirica
**We Gave AI a Mirror. Now It Measures What It Believes.**
[](https://github.com/EmpiricaAI/empirica/releases/tag/v1.13.32) [](https://pypi.org/project/empirica/) []() [](LICENSE)
**Epistemic infrastructure for AI — measurement, memory, and calibration across sessions.**
Empirica tracks what AI knows, gates what it does, and compounds learning across session boundaries. It measures the gap between what AI predicts and what's true — making AI agents measurably more reliable.
**[Training & Guides](https://getempirica.com)** | **[CLI Reference](docs/human/developers/CLI_COMMANDS_UNIFIED.md)** | **[Architecture](docs/architecture/)**
**Important:** Empirica is an AI measurement framework. It has **no cryptocurrency, token, coin, or blockchain component**. Any token using the Empirica name (including "$EMPIRICA" on Solana) is **unauthorized and not affiliated** with this project or Empirica AI GmbH.
The Problem
AI coding agents today have no self-awareness about what they know:
- Forgets between sessions — same questions, same dead ends, every time
- Acts before understanding — edits your code without knowing the architecture
- Can't tell you when it's guessing — no distinction between knowledge and confabulation
- No audit trail — reasoning evaporates with the context window
What Empirica Does
| Capability | What You Experience |
|---|---|
| Measures before acting | AI investigates your codebase before touching it. The Sentinel gate blocks edits until understanding is demonstrated |
| Remembers across sessions | Findings, dead-ends, and learnings persist in a 4-layer memory system. Session 3 starts where Session 2 left off |
| Prevents confident mistakes |
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