claude-cortex: Instructions file for Claude Code

CLAUDE.md

claude-cortex CLAUDE.md is an instructions file for Claude Code from Peaky8linders/claude-cortex. It costs 1,122 tokens per session, scanned A, original, MIT.

Project instructions for Claude Cortex, a system with Python tools for a semantic knowledge graph and analysis services, plus TypeScript tools for hooks and an MCP dashboard. An MCP server is a program that lets an AI agent use external tools.

In plain words
What is it for?
Installing and testing the Brainiac, Cortex, and ContextScore components, checking knowledge-graph data, and building the TypeScript dashboard.
Why use it?
They explain the project structure, development commands, and testing requirements across its separate components.

Instructions file for Claude Code

Written for Claude Code: SessionStart hook event. Also seen: reads .claude/ paths; mentions .claude-plugin; mentions CLAUDE.md.

This is Peaky8linders/claude-cortex's own configuration. It tells Claude Code how to work on claude-cortex itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything claude-cortex configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Peaky8linders/claude-cortex. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Peaky8linders/claude-cortex/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Peaky8linders/claude-cortex

Made for: Claude Code.

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Per session 1,122 This file is loaded in full into every session.
When invoked 1,122 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01122 $0.01122
Opus 5.5 $0.00449 $0.00449
Sonnet 5.5 $0.00224 $0.00224
Haiku 4.5 $0.00112 $0.00112

Measured 2mo ago against content hash a2e62f465da0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

claude-cortex 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 2mo 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.

CLAUDE.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Commands

# Brainiac (Python — semantic graph engine)
pip install -e .                                    # Install in dev mode
cd ~/.claude/knowledge && python -m brainiac stats  # Graph overview
cd ~/.claude/knowledge && python -m brainiac search "query"

# Cortex (TypeScript — hook processor + MCP dashboard)
cd cortex && npm install && npm run build
cd cortex && npm test

# ContextScore (Python — analyzers + snapshot + HTTP API)
cd contextscore && pip install -e .
cd contextscore && pytest tests/ -v

Architecture

Product Language Purpose
brainiac/ Python Semantic embedding engine, graph persistence, CLI
cortex/ TypeScript Hook processor, knowledge graph engine, MCP dashboard server
contextscore/ Python 7 analyzers, snapshot/recovery, HTTP API

Plugin Structure

.claude-plugin/plugin.json       — Plugin manifest
.claude/settings.json            — Team permissions (committed)
.claude/rules/                   — Path-scoped instruction modules
.claude/commands/                — 14 slash commands (learn, hypothesis, cortex-*, ralph-*, etc.)
.claude/skills/cortex/           — Auto-invoked cortex advisor + support docs (SKILL.md, GRAPH_SCHEMA.md, QUALITY_DIMENSIONS.md)
.claude/agents/                  — cortex-advisor, graph-maintainer (haiku), work-evaluator (sonnet)
.mcp.json                        — MCP server registration (cortex-dashboard)
hooks/hooks.json                 — Hook wiring (5 events: SessionStart, PostToolUse, PreCompact, PostCompact, Stop)
hooks/scripts/                   — Shell hook handlers

MCP Dashboard Tools

  • cortex_token_timeline — Token consumption time-series with spike detection
  • cortex_activity_map — Gantt-like skill/hook/tool activation timeline
  • cortex_quality_heatmap — 7-dimension context quality radar
  • cortex_graph_explorer — Interactive knowledge graph
  • cortex_dashboard — Unified session dashboard with KPIs, charts, cost breakdown, and cross-session trends

Read the full file on GitHub · 106 lines

Changes

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.

  1. 2mo ago First seen · 106 lines · 1,122 tokens per session scan A a2e62f465da0

Subscribe to this mod's changes

claude-cortex CLAUDE.md is an instructions file published in the GitHub repository Peaky8linders/claude-cortex (11 stars, last pushed 4mo ago), licensed MIT. It adds 1,122 tokens to every session, about $0.0045 per session on Opus 5.5. 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.

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