Borrowing it
Nothing to install: this file belongs to docraticmethod/cascadia. 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/docraticmethod/cascadia/main/CLAUDE.mdgit clone --depth 1 https://github.com/docraticmethod/cascadiaWrote 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/docraticmethod/cascadia/claude-md)<a href="https://agentmods.dev/instructions/docraticmethod/cascadia/claude-md"><img src="https://agentmods.dev/badge/instructions/docraticmethod/cascadia/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/docraticmethod/cascadia/claude-md"><img src="https://agentmods.dev/badge/instructions/docraticmethod/cascadia/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 | $0.01154 | $0.01154 |
| Opus 5.5 | $0.00462 | $0.00462 |
| Sonnet 5.5 | $0.00231 | $0.00231 |
| Haiku 4.5 | $0.00115 | $0.00115 |
Grade A, and why
cascadia CLAUDE.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s http://localhost:3000/health How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Opinionated agentic template.
Includes Anthropic SDK, traces directory, eval pattern, the orchestrator/subagent/skills shape. Reuse target is "another agentic harness".
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Behavioral Instructions
- Be concise. No preamble like "Great question" or "I'll help you with that."
- State conclusions first, then reasoning if asked. Don't bury the answer.
- Push back on bad ideas with reasoning, not deference.
- Skip apologies for normal corrections.
Project Directives
- For non-trivial decisions, surface 2–3 options with tradeoffs (cost, complexity, scalability) before recommending one. Skip if the choice is obvious.
- Tag each significant decision with its business rationale: who benefits, what outcome it supports.
- When something isn't working, name it explicitly. Don't paper over failures — diagnose, adjust, learn.
- Note assumptions inline. Mark anything we're treating as given that could plausibly be wrong.
- Flag scope cuts: when proposing a simpler version of something, say what we're not doing and what we'd do "with more time."
- Prefer industry-standard patterns over clever ones. Document why if we deviate.
Scope
Work only within this directory. Do not read, modify, or reference files outside the repo root.
Working with the Agent
- Plan before execute: propose changes before creating/modifying files for any non-trivial task
- Prefer small, reviewable diffs over large sweeps
- Surface assumptions explicitly; ask when ambiguous rather than guessing
- After each change, summarize what was done and what's next
Project Overview
Express.js repo. The goal is to demonstrate clean, idiomatic Node.js API development with good engineering habits — small commits, tested code, clear decisions.
- Runtime: Node 24
- Module system: ESM (
"type": "module"in package.json,.jsextensions on all imports) - Framework: Express 5 (async errors propagate to error middleware automatically — no need to
next(err))
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.
- 2mo ago First seen · 110 lines · 1,154 tokens per session scan A 8527426182c3
cascadia CLAUDE.md is an instructions file published in the GitHub repository docraticmethod/cascadia (13 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 1,154 tokens to every session, about $0.0046 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
cascadia CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| cascadia CLAUDE.mddocraticmethod/cascadia | Instructions file | 13 | 2mo ago | Apache-2.0 | A | 1,154 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |