Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/nickcrew/claude-cortex/agents-mdgit clone --depth 1 https://github.com/NickCrew/Claude-CortexWhat 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 | $0.01670 | $0.01670 |
| Opus 5 | $0.00835 | $0.00835 |
| Sonnet 5 | $0.00334 | $0.00334 |
| Haiku 4.5 | $0.00167 | $0.00167 |
Grade A, and why
Claude-Cortex AGENTS.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 2d 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 — 158 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Build, Test, and Development Commands
# Installation
just install # Full installation via legacy scripts
pip install -e ".[dev]" # Development install with extras
# Testing
just test # Run pytest suite
just test-cov # Run with coverage (output: htmlcov/)
pytest -m unit # Unit tests only
pytest -m integration # Integration tests only
pytest tests/unit/test_composer.py::TestComposer::test_specific # Single test
# Code Quality
just lint # Check formatting with Black
just lint-fix # Auto-format with Black
just type-check # Strict mypy on core modules
just type-check-all # Full mypy (informational)
python3 -m mypy --strict claude_ctx_py # Direct strict check
# Build & Docs
python -m build # Build sdist/wheel
just docs # Serve docs locally (requires Ruby/bundler)
just docs-build # Build static docs
Architecture Overview
Core Module Organization (claude_ctx_py/)
The Python package follows a domain-driven architecture:
claude_ctx_py/
├── cli.py # Main CLI entrypoint (argparse-based)
├── core/ # Domain modules re-exported via __init__.py
│ ├── base.py # Utilities, path resolution, YAML/front-matter parsing
│ ├── agents.py # Agent graph, dependencies, activation
│ ├── skills.py # Skill discovery, metrics, community integration
│ ├── rules.py # Rule management
│ ├── hooks.py # Hook installation and validation
│ ├── mcp.py # MCP server discovery and configuration
│ ├── mcp_installer.py # MCP server installation
│ ├── mcp_registry.py # MCP server registry
│ ├── worktrees.py # Git worktree management
│ ├── backup.py # Configuration backup/restore
│ ├── components.py # Shared component utilities
│ ├── asset_discovery.py # Asset discovery across scopes
│ ├── asset_installer.py # Asset installation (symlinks)
│ ├── codex_skills.py # Codex skill integration
│ └── context_export.py # Context export functionality
├── tui/ # Textual-based terminal UI
│ ├── main.py # CortexApp (main application class)
│ ├── types.py # TypedDicts for TUI data structures
│ ├── constants.py # View bindings, profile descriptions
│ ├── dialogs/ # Modal dialogs (backup, profile editor, LLM settings)
│ └── widgets.py # Custom Textual widgets
├── intelligence/ # AI-powered automation
│ ├── base.py # SessionContext, AgentRecommendation dataclasses
│ ├── semantic.py # Semantic matching (fastembed integration)
│ └── config.py # Intelligence configuration
└── memory/ # Memory and context capture
├── capture.py # Session capture
├── search.py # Memory search
└── notes.py # Memory note management
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.
- 2d ago First seen · 158 lines · 1,670 tokens per session scan A 04ac0defe78d
Claude-Cortex AGENTS.md is an instructions file published in the GitHub repository NickCrew/Claude-Cortex (37 stars, last pushed 2mo ago), licensed MIT. It adds 1,670 tokens to every session, about $0.0083 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
claude-code-templates CLAUDE.md
Instructions for Justdvp/claude-code-templates, covering claude.md, project overview, development commands, package management and application commands.
magi-workflow CLAUDE.md
Instructions for howar31/magi-workflow, covering what this is, slash commands, subagents, project state model and project document tiers.
ai-software-architect AGENTS.md
AGENTS.md instructions for codenamev/ai-software-architect, covering agents.md - ai software architect framework, project overview, framework development setup, repository structure and installation for framework development.
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.
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).
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.