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…/davebream/claude-of-alexandria
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claude-of-alexandria

bydavebream· 1 MCP server

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Category

Research

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TL;DR

Claude plugin for rigorous biblical study. TDD-built to prevent AI failures: psychologizing texts, moralistic applications, genre mistakes, and exegetical shortcuts. Faithful, Christ-centered analysis for teaching, sermon prep, and research.

How to install claude-of-alexandria?

davebream/claude-of-alexandria
$git clone https://github.com/davebream/claude-of-alexandria

Installs into the current project.

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Install & use

Install claude-of-alexandria by running `git clone https://github.com/davebream/claude-of-alexandria`, then use it for the current task and follow its documentation at https://github.com/davebream/claude-of-alexandria.

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README.md
1<h1 align="center">Claude of Alexandria</h1>
2 
3<p align="center">
4 <em>AI agent skills for rigorous biblical study, built on tested exegetical principles.</em>
5</p>
6 
7<p align="center">
8 <a href="#installation"><img src="https://img.shields.io/badge/install-marketplace-brightgreen" alt="Marketplace"></a>
9 <a href="LICENSE"><img src="https://img.shields.io/badge/license-GPL--v3-blue" alt="License"></a>
10 <a href="#current-collection"><img src="https://img.shields.io/badge/skills-6%20%2B%206%20agents-orange" alt="Skills"></a>
11 <a href="#the-evidence"><img src="https://img.shields.io/badge/tests-96%20automated-yellow" alt="Tests"></a>
12</p>
13 
14---
15 
16Structured frameworks that prevent AI agents from committing exegetical malpractice. Every skill is built with Test-Driven Development: document the failure, build the fix, verify it works.
17 
18## The Problem
19 
20Frontier models make predictable errors when handling Scripture. These are documented by 53 RED-phase tests that run the same prompts *without* skills and record what goes wrong:
21 
22- **Fabricating linguistic data from training memory** — inventing morphological parsings, frequency counts, and hapax claims without querying actual data
23- **Inventing arbitrary divisions** to satisfy session counts ("8 weeks on Philemon") without checking manuscript markers
24- **Presenting single frameworks** for contested books as if scholarly consensus exists
25- **No confidence tiering** — treating training-data guesses and parser-verified data with equal certainty
26- **Moralistic drift** — "try harder" applications and therapeutic framing without gospel grounding
27- **Yielding to user pressure** — skipping data verification when asked to "just be brief" or "skip the Greek"
28- **Accepting truncated pericopes** — validating famous verses (John 3:16) as standalone units based on familiarity, not discourse evidence
29- **Genre-blind analysis** — applying epistolary methods to wisdom literature, forcing narrative arcs on proverbial collections
30- **Ignoring ancient manuscript markers** like Masoretic paragraph divisions and Levinsohn discourse features
31- **Auto-selecting options** instead of presenting scholarly alternatives with evidence
32 
33## The Evidence
34 
35**136 automated tests** verify that skills prevent documented failures. Tests run against `claude-agent-sdk` with live MCP data — not mocked responses.
36 
37| Phase | Tests | What it does |
38|-------|-------|-------------|
39| RED | 53 | Runs prompts against a bare model (no skills, no MCP). Documents what goes wrong. |
40| GREEN | 50 | Core failure-mode corrections. One targeted assertion per documented failure. CI-friendly. |
41| EXTENDED | 32 | Quality, adversarial, and stress scenarios — run on-demand during skill development. |
42| Smoke | 1 | Verifies the skill-to-agent pipeline works end-to-end. |
43 
44GREEN assertions use an Opus grader for LLM-rubric evaluation plus structural checks (`icontains`, section presence). Each GREEN scenario targets one documented RED failure mode. If a skill cannot demonstrate that it prevents a documented failure, it does not ship.
45 
46## Current Collection
47 
48**6 skills + 6 sub-agents, all production.** Coverage: all 66 canonical books.
49 
50### Skills
51 
52#### [biblical-segmentation](plugins/claude-of-alexandria/skills/biblical-segmentation/)
53 
54Divides biblical books into coherent teaching units with integrity safeguards:
55 
56- Refuses impossible divisions (you cannot divide Philemon into 12 sessions)
57- Presents multiple scholarly-grounded options
58- Validates against Masoretic paragraph markers and Levinsohn discourse features
59- Handles contested books with multiple frameworks
60 
6124 maintainer-run eval scenarios (12 RED + 12 GREEN) + 6 extended scenarios.
62 
63#### [pericope-delimitation](plugins/claude-of-alexandria/skills/pericope-delimitation/)
64 
65Validates whether a proposed passage holds together as a discourse unit:
66 
67- Checks boundaries against Levinsohn discourse features (NT) and Masoretic markers (OT)
68- Returns verdict: VALID, EXTEND, CONTRACT, or ADJUST
69- Recommends the smallest coherent unit if passage is too short
70 
7112 maintainer-run eval scenarios (6 RED + 6 GREEN) + 8 extended scenarios. Resists memory-based validation of famous passages.
72 
73#### [exegetical-notes](plugins/claude-of-alexandria/skills/exegetical-notes/)
74 
75Produces exegetical notes for sermon or teaching preparation:
76 
77- 10-section schema from literary context through verification
78- Parser-verified lexical data (not training memory guesses)
79- 4-tier interpretive labels: linguistic, discourse, scholarly, agent assessment
80- Genre-graduated redemptive-historical connections (epistles vs. wisdom literature vs. short letters)
81 
8237 maintainer-run eval scenarios (20 RED + 17 GREEN) + 12 extended scenarios (adversarial + stress tests for Philemon, Proverbs, 3 John).
83 
84#### [consult-biblical-scholar](plugins/claude-of-alexandria/skills/consult-biblical-scholar/)
85 
86Scholarly Q&A for biblical texts. Three auto-detected modes:
87 
88- **MEANING** — lexical and linguistic explanation
89- **VA

Preview

davebream/claude-of-alexandriadavebream/claude-of-alexandria
Repodavebream/claude-of-alexandria
TypeMCP Servers
CategoryResearch
UpdatedJul 2026
LicenseGPL-3.0
First seenJul 27, 2026

Tags

MCP

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