Borrowing it
Nothing to install: this file belongs to Hmbown/Hegelion. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Hmbown/Hegelion/main/CLAUDE.mdgit clone --depth 1 https://github.com/Hmbown/HegelionWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/hmbown/hegelion/claude-md)<a href="https://agentmods.dev/instructions/hmbown/hegelion/claude-md"><img src="https://agentmods.dev/badge/instructions/hmbown/hegelion/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/hmbown/hegelion/claude-md"><img src="https://agentmods.dev/badge/instructions/hmbown/hegelion/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01168 | $0.01168 |
| Opus 5 | $0.00584 | $0.00584 |
| Sonnet 5 | $0.00234 | $0.00234 |
| Haiku 4.5 | $0.00117 | $0.00117 |
Grade A, and why
Hegelion CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What is Hegelion
Prompt-driven dialectical reasoning and autocoding system for LLMs. It generates structured prompts by default and can optionally execute them through MCP backends. Two modes:
- Dialectical Reasoning — Thesis → Antithesis → Synthesis (optional Council of perspectives and Judge)
- Autocoding (Player-Coach) — Based on Block AI's g3 agent research. Player implements, Coach independently verifies against requirements. Requirements are the single source of truth; the Coach discards the Player's self-report.
Build & Development Commands
# Install dependencies (uv recommended)
uv sync --dev
# Run all tests
uv run pytest -v
# Run a single test file
uv run pytest tests/test_autocoding.py -v
# Run a single test
uv run pytest tests/test_autocoding.py::test_function_name -v
# Coverage
uv run pytest --cov=hegelion --cov-report=html
# Format
uv run black hegelion tests
# Lint
uv run ruff check hegelion tests
# Run MCP server
hegelion-server # installed entry point
python -m hegelion.mcp.server # from source
# Self-test MCP server tools
hegelion-server --self-test
Code Style
- Black formatter, line length 100. Black excludes
hegelion/engine.pyand.gemini/. - Ruff linter. Both enforced in CI.
- Type hints on public functions, Google-style docstrings for public APIs.
- Pytest with
asyncio_mode = "auto"— async test functions just work. - Conventional commits:
feat:,fix(mcp):,docs:,refactor:,style:,chore:.
Architecture
Core Design Principle — Prompt-Driven First, Optional Backend Execution
The default MCP behavior is still prompt generation for the client (Claude Desktop, Cursor, etc.) to execute. Server-side execution is optional and now flows through a small backend layer (prompt, cli, codex_mcp, auto) so dialectic single-shot calls and coach turns can be executed without changing the core prompt/state model.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 101 lines · 1,168 tokens per session scan A 30db8e8693e2
Hegelion CLAUDE.md is an instructions file published in the GitHub repository Hmbown/Hegelion (172 stars, last pushed 5mo ago), licensed MIT. It adds 1,168 tokens to every session, about $0.0058 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.