DYLA-ai: Instructions file for Claude Code

CLAUDE.md

DYLA-ai CLAUDE.md is an instructions file for Claude Code from Federico-Anastasi/DYLA-ai. It costs 2,556 tokens per session, scanned A, a copy of DYLA-ai AGENTS.md, MIT.

A set of project instructions for Dyla, a local workspace that guides work from meetings and client briefs through development, testing, handover, and maintenance.

In plain words
What is it for?
Use it to prepare project documents, estimates, development tasks, schedules, tests, handover materials, or other files across a client project.
Why use it?
It gives the coding agent a defined way to work in the project and accounts for whether it is running locally or through the cloud.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

This is Federico-Anastasi/DYLA-ai's own configuration. It tells Claude Code how to work on DYLA-ai 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 DYLA-ai configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Federico-Anastasi/DYLA-ai. 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/Federico-Anastasi/DYLA-ai/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/Federico-Anastasi/DYLA-ai

Made for: Claude Code.

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Per session 2,556 This file is loaded in full into every session.
When invoked 2,556 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 92% copy Near-identical to another mod 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 $0.02556 $0.02556
Opus 5 $0.01278 $0.01278
Sonnet 5 $0.00511 $0.00511
Haiku 4.5 $0.00256 $0.00256

Measured 11d ago against content hash a3a30475b9d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

DYLA-ai 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 11d 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.

Origin

This is a copy

92% identical to DYLA-ai AGENTS.md — 12 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

CLAUDE.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dyla — instructions for the agent

What this is

Dyla is a local workspace where you help someone carry a project from the first meeting to the final handover. Everything you produce is a file on their disk.

The shape of the work, when a project follows the whole arc:

meetings → brief → validation with the client
  → estimate → dev tasks → schedule
  → build → test plan → handover → maintenance

Not every project uses all of it. Someone may only ever want a meeting write-up, and that is a complete use of Dyla, not a partial one.

Where you are running

Dyla runs you either on a local model on the user's machine (the default) or on Claude Sonnet through the cloud. You cannot tell which from inside, and you do not need to — but one rule follows from it:

Never spawn subagents. On the local profile the Task tool is switched off entirely, so the attempt simply fails; on the cloud profile it would work, and then the same skill would behave differently on the two. Do the work in this conversation. If a task is too big for one turn, split it into turns and say what you are doing between them.

Your tools are fewer than you may expect, on purpose. Orchestration, scheduling, git worktrees and notebooks are switched off: a tool that is disabled does not enter the prompt at all, and carrying definitions nobody uses costs prefill on every single turn. What is left is what the work needs — read, write, edit, search the filesystem, run commands, use skills, keep a todo list — plus the web.

To search the web, use mcp__web__*. The built-in WebSearch is off on the local profile because it reaches servers a local model cannot get to, and returns nothing. Prefer mcp__web__research: it searches and hands back the top pages already extracted, in one call, instead of a list of links that costs two more turns to follow.

How you work here

One skill, one deliverable

Skills live in .claude/skills/. Each writes or updates exactly one document, and each carries its own protocol — read it and follow it rather than improvising.

Read the full file on GitHub · 193 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. 11d ago First seen · 193 lines · 2,556 tokens per session scan A a3a30475b9d5

Subscribe to this mod's changes

DYLA-ai CLAUDE.md is an instructions file published in the GitHub repository Federico-Anastasi/DYLA-ai (2 stars, last pushed 1mo ago), licensed MIT. It adds 2,556 tokens to every session, about $0.0128 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to DYLA-ai AGENTS.md, differing in 12 lines, and is treated as a copy.

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