dot-ai CLAUDE.md

dot-ai CLAUDE.md is an instructions file for Claude Code from vfarcic/dot-ai. It costs 1,389 tokens per session, scanned A, original, MIT.

A set of instructions for Claude Code, an AI coding assistant, when working in a specific repository. It defines required tests, coding practices, and task-completion checks.

In plain words
What is it for?
Guiding code changes, requiring integration tests, checking for reusable existing code, loading prompts from approved folders, and running the repository's integration-test command.
Why use it?
It gives the coding assistant consistent repository rules and prevents work being marked complete before integration tests pass.

Instructions file for Claude Code

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

Install

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.

agentmods
npx agentmods add instructions/vfarcic/dot-ai/claude-md
Clone the repo
git clone --depth 1 https://github.com/vfarcic/dot-ai

Made for: Claude Code.

Wrote 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.

agentmods badge for dot-ai CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/vfarcic/dot-ai/claude-md.svg)](https://agentmods.dev/instructions/vfarcic/dot-ai/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/vfarcic/dot-ai/claude-md"><img src="https://agentmods.dev/badge/instructions/vfarcic/dot-ai/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,389 This file is loaded in full into every session.
When invoked 1,389 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.01389 $0.01389
Opus 5 $0.00694 $0.00694
Sonnet 5 $0.00278 $0.00278
Haiku 4.5 $0.00139 $0.00139

Measured 6d ago against content hash a824a2ac2e3a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

dot-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 6d 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.

CLAUDE.md · 104 lines

How it starts

The opening of the file, as written. The whole thing — 104 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.

⚠️ MANDATORY TASK COMPLETION CHECKLIST ⚠️

🔴 BEFORE MARKING ANY TASK/SUBTASK AS COMPLETE:

Integration Tests Written: Write integration tests for new functionality □ All Tests Pass: Run npm run test:integration - ALL tests must pass □ No Test Failures: Fix any failing tests before proceeding

❌ TASK IS NOT COMPLETE IF:

  • Any integration tests are failing
  • New code lacks integration test coverage
  • You haven't run npm run test:integration to verify

PERMANENT INSTRUCTIONS

  1. Always Write Integration Tests: When making code changes, you MUST write or update integration tests
  2. Always Run All Tests: Before marking any task complete, run npm run test:integration
  3. Never Claim Done with Failing Tests: A task is NOT complete if any tests are failing
  4. Always Check for Reusability: Search codebase for existing functions before implementing new ones
  5. Never Hardcode AI Prompts: All prompts go in prompts/ (internal) or shared-prompts/ (user-facing), loaded dynamically (see existing code for pattern)
  6. Never Create Branches Directly — Always Use Worktrees: When starting feature work (including /prd-start), always use /worktree-prd to create an isolated worktree. Never run git checkout -b or git switch -c, even if a skill instructs you to.
  7. Always Configure New Params via Helm Chart Values: Every NEW configuration parameter must be a first-class value in charts/values.yaml, rendered into the container env by charts/templates/deployment.yaml — follow rbac.enforcement.enabledDOT_AI_RBAC_ENABLED, where the chart value is the user-facing contract and the env var is an internal detail. Never introduce a bare env var, and never document a new param under extraEnv (not even as an interim step). The many DOT_AI_* env vars in the codebase are legacy from when the project ran outside Kubernetes; it is Kubernetes-only now, so the chart is the single configuration interface. extraEnv remains valid only for pre-existing env vars (e.g. DOT_AI_GIT_TOKEN) and third-party config such as OTEL.
  8. Never Store Project Knowledge in Agent Memory: Anything learned about this project — conventions, decisions, gotchas, rationale — goes in the repo where the whole team and every agent can see it: this file for rules, docs/ for user-facing behavior, a PRD in prds/ for in-flight design. Never persist it to per-user agent memory outside the repo (e.g. ~/.claude/**/memory/), which teammates cannot see, code review cannot catch, and nothing keeps in sync with the code. The narrow exception is a fact true only of one machine or account (host tooling quirks, personal credentials paths) — that is not project knowledge and does not belong in the repo either.

Read the full file on GitHub · 104 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. 6d ago First seen · 104 lines · 1,389 tokens per session scan A a824a2ac2e3a

Subscribe to this mod's changes

dot-ai CLAUDE.md is an instructions file published in the GitHub repository vfarcic/dot-ai (335 stars, last pushed 3d ago), licensed MIT. It adds 1,389 tokens to every session, about $0.0069 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.

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