Borrowing it
Nothing to install: this file belongs to Fozikio/cortex-engine. 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/Fozikio/cortex-engine/master/CLAUDE.mdgit clone --depth 1 https://github.com/Fozikio/cortex-engineWrote 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/fozikio/cortex-engine/claude-md)<a href="https://agentmods.dev/instructions/fozikio/cortex-engine/claude-md"><img src="https://agentmods.dev/badge/instructions/fozikio/cortex-engine/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/fozikio/cortex-engine/claude-md"><img src="https://agentmods.dev/badge/instructions/fozikio/cortex-engine/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 | $0.00924 | $0.00924 |
| Opus 5.5 | $0.00370 | $0.00370 |
| Sonnet 5.5 | $0.00185 | $0.00185 |
| Haiku 4.5 | $0.00092 | $0.00092 |
Grade A, and why
cortex-engine 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 1mo 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
cortex-engine
Portable cognitive engine for AI agents. Published as @fozikio/cortex-engine on npm.
Workflow tier: Production
Conventional commits with scopes and explanatory bodies, PR-required (no direct
pushes to master), the local-ci status (npm run ci:local -- <branch> on the PR's
final head) as the merge gate required by the master ruleset, Keep-a-Changelog CHANGELOG.md with
semver tags. New clones: run git config core.hooksPath .githooks once to
activate the commit-msg lint hook.
Commands
npm run build # tsc → dist/
npm run dev # tsc --watch
npm run test # vitest (requires --experimental-vm-modules)
npm run test:watch # vitest watch mode
npm run serve # Start MCP server (node dist/bin/serve.js)
npm run docs:tools # Regenerate docs/tools-reference.md from dist/ (build first)
npm run ci:local -- <ref> # Merge gate: CI checks in a clean worktree, posts `local-ci` status
Architecture
src/
├── bin/ # CLI entry points (serve.js, cortex-engine CLI)
├── bridges/ # Cross-namespace bridging
├── cli/ # CLI command tree, arg parsing, TUI
├── core/ # Config, types, utilities
├── engines/ # Cognitive processing, memory consolidation, FSRS, dream pipeline
├── federation/ # Peer discovery via sigil, cross-instance queries
├── mcp/ # MCP server with 27+ cognitive tools
├── namespace/ # Multi-namespace management
├── plugins/ # Plugin system
├── providers/ # LLM/embedding providers (Anthropic, OpenAI, Vertex, HuggingFace)
├── rest/ # REST API server
├── services/ # Local daemon supervisor, probe, watchdog
├── stores/ # Storage backends
│ ├── sqlite.ts # Local SQLite (better-sqlite3)
│ └── firestore.ts # Cloud Firestore
├── tools/ # Tool definitions
├── triggers/ # Event triggers
└── index.ts # Main entry + re-exports
Root dirs outside src/: reflex-rules/ (reflex YAML rules), skills/ (Claude Code skills), hooks/ (shell hooks), openclaw-plugin/ (OpenClaw integration), examples/ (example CLAUDE.md, session flow).
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.
- 1mo ago Changed · +2 lines · +57 tokens per session 07d148826178
- 1mo ago Changed · +13 lines · +196 tokens per session d6edac131e9f
- 2mo ago First seen · 65 lines · 671 tokens per session scan A d8bdd62cc743
cortex-engine CLAUDE.md is an instructions file published in the GitHub repository Fozikio/cortex-engine (51 stars, last pushed 4d ago), licensed MIT. It adds 924 tokens to every session, about $0.0037 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.
cortex-engine CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cortex-engine CLAUDE.mdFozikio/cortex-engine | Instructions file | 51 | 4d ago | MIT | A | 924 | Claude Code |
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| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |