Borrowing it
Nothing to install: this file belongs to timothywarner-org/context-engineering. 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/timothywarner-org/context-engineering/main/CLAUDE.mdgit clone --depth 1 https://github.com/timothywarner-org/context-engineeringWrote 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/timothywarner-org/context-engineering/claude-md)<a href="https://agentmods.dev/instructions/timothywarner-org/context-engineering/claude-md"><img src="https://agentmods.dev/badge/instructions/timothywarner-org/context-engineering/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/timothywarner-org/context-engineering/claude-md"><img src="https://agentmods.dev/badge/instructions/timothywarner-org/context-engineering/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 | $0.04542 | $0.04542 |
| Opus 5.5 | $0.01817 | $0.01817 |
| Sonnet 5.5 | $0.00908 | $0.00908 |
| Haiku 4.5 | $0.00454 | $0.00454 |
Grade A, and why
context-engineering 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 — 233 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.
Working Style (Tim's preferences)
- Working > clever. Minimal, reliable code. Skip "elegant," "extensible," "future-proof."
- Default to ≤3-file changes for a feature. If you're touching more, justify it.
- Operational escape hatches required for anything that runs as a server/daemon (port-killers,
--kill-only, idempotent re-runs). Seescripts/restart_server.pyas the model. - Terse responses. Lead with the action; end with the verification result. Skip planning sections unless asked.
- No low-effort jargon (Tim, 2026-08-21). Banned outright in prose, commits, docs, and replies:
"ask" as a noun ("the ask", "two asks"), "learnings", "key learning", "load-bearing",
"double-click on", "net-net", "table stakes", "key takeaway", "heavy lift", "step-change".
Name the concrete thing instead. Bare "learning" is allowed only in fixed compounds
(learning objective/outcome, learner, machine learning, learning path/curve).
Enforced mechanically by
voice_lint.pyin the user-scopetim-warner-voiceskill. - Absolute paths in Bash —
cdbetween tool calls has broken parallel batches in this repo. - Tim is a senior engineer (MVP/MCT, 25+ years). Frame as peer-to-peer. Cite file paths and line numbers.
Project Overview
Training materials and MCP server implementations for "Context Engineering with MCP" — a 4×50min course. Flagship teaching app is WARNERCO Schematica: FastAPI + FastMCP + LangGraph that exercises all four CoALA memory tiers (Working / Episodic / Semantic / Procedural) in one codebase. Source design rationale: research_synthesis/ (Claude/ChatGPT/Gemini/Perplexity deep-research reports).
Class delivery date and audit status live in instructor memory, not here. Repo layout is discoverable via Glob — top-level: src/warnerco/backend/, labs/lab-01-hello-mcp/, docs/, instructor/, config/, research_synthesis/, .claude/.
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 · +6 lines · +145 tokens per session 5ff1f2cee886
- 2mo ago First seen · 227 lines · 4,397 tokens per session scan A c51cbf15b2dd
context-engineering CLAUDE.md is an instructions file published in the GitHub repository timothywarner-org/context-engineering (27 stars, last pushed 1mo ago), licensed MIT. It adds 4,542 tokens to every session, about $0.0182 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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AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
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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.
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