brianhearn/ExpertPack

Structured knowledge packs that turn AI agents into domain experts — for products, people, and processes.

What's novel

Structured knowledge packs that turn AI agents into domain experts — for products, people, and processes.

Code Analysis

0 files read · 4 rounds

A documentation and schema framework for building specialized AI knowledge packs (ExpertPacks) that capture esoteric domain knowledge, but the actual Python processing logic is inaccessible in this repository snapshot.

Strengths

Highly innovative concept with a clear, modular directory structure separating schemas, content packs, and processing scripts. The 'EK Ratio' metric represents a novel approach to quantifying AI hallucination risks.

Weaknesses

The core implementation logic (Python scripts) is completely inaccessible in this repository view, preventing verification of the actual algorithms, error handling, or test coverage. The project relies on external hosting for its executable code.

Score Breakdown

Innovation

7 (25%)

Craft

38 (35%)

Traction

9 (15%)

Scope

48 (25%)

Signal breakdown

Innovation

Not Fork+1

Code Novelty+2

Concept Novelty+2

Craft

Ci+0

Tests+0

Polish+0

Releases+0

Has License+5

Code Quality+14

Readme Quality+15

Recent Activity+7

Structure Quality+4

Commit Consistency+2

Has Dependency Mgmt+0

Traction

Forks+0

Stars+6

Hn Points+0

Watchers+0

Early Traction+5

Devto Reactions+0

Community Contribs+0

Scope

Commits+8

Languages+3

Subsystems+10

Bloat Penalty+0

Completeness+6

Contributors+0

Authored Files+15

Readme Code Match+3

Architecture Depth+7

Implementation Depth+8

Evidence

Commits

Contributors

Files

188

Active weeks

TestsCI/CDREADMELicenseContributing

Repository

Language

Python

Stars

Forks

License

Apache-2.0