thalamus-calibration

Calibrate the thalamus keyword-to-region router using HIPPOCAMPUS transcripts and hook mappings.

Updated Apr 18, 2026

Search Tags:#context #routing #hooks #calibration #transcripts #confusion-matrix #thalamus

Ready to run

npx skills add https://github.com/ludwigawra/florentxlundaisociety --skill thalamus-calibration

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: thalamus-calibration
Source: https://github.com/ludwigawra/florentxlundaisociety/tree/main/plugin/skills/core/thalamus-calibration
Command: npx skills add https://github.com/ludwigawra/florentxlundaisociety --skill thalamus-calibration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Nightly and on-demand tuning of the thalamus pre-prompt signal detector so it predicts which brain regions to activate more accurately, reducing cold starts and irrelevant context noise in sessions.

Core Features & Use Cases

Locate and parse the thalamus hook mapping in .claude/hooks/user-prompt-submit.sh and treat the keyword-to-category mapping as the object under test.
Collect ground-truth usage from HIPPOCAMPUS/short-term transcripts, extract prompts, predicted regions, and actually-used regions, and compute per-category precision and recall via a confusion matrix.
Detect pattern-level issues (dead keywords, frequent unmatched phrases, missing region predictions, co-firing categories), produce up to five high-confidence proposed changes with citations and risk notes, emit a dated calibration report, and optionally apply changes with backup and syntax checks.

Quick Start

Run thalamus-calibration in propose mode against the last 14 days of transcripts to generate a recommended mapping update report.

Frequently Asked Questions about thalamus-calibration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I reduce false context activations and missed prompts in AI-OS brain hooks?▼

You can calibrate the keyword-to-region router by running thalamus-calibration in propose mode against your last 14 days of HIPPOCAMPUS short-term transcripts. This generates a recommended mapping update report with up to five proposed changes and risk notes.

What is the best way to compute precision and recall for prompt routing categories?▼

You can compute precision and recall for prompt routing categories by extracting prompts, predicted regions, and actually-used regions from HIPPOCAMPUS short-term transcripts. A confusion matrix evaluates per-category accuracy to detect dead keywords and unmatched phrases.

How do I run nightly consolidation diagnostics on thalamus hook mappings?▼

Nightly consolidation diagnostics on thalamus hook mappings operate on .claude/hooks/user-prompt-submit.sh and HIPPOCAMPUS transcripts. The calibration process requires read access to these files to detect pattern-level issues like missing region predictions and co-firing categories.

Does context routing calibration support automatic hook mapping updates with backups?▼

Context routing calibration supports automatic hook mapping updates when apply mode is authorized. It creates dated backups and performs syntax checks before applying the proposed keyword-to-category mapping changes to the user-prompt-submit.sh hook file.

What limitations exist when tuning keyword-to-category mappings for AI-OS brain regions?▼

Tuning keyword-to-category mappings for AI-OS brain regions is limited to proposing a maximum of five high-confidence changes per calibration run. The system requires explicit apply mode authorization to write changes and cannot modify mappings without read access to the hook file.