ai-rules CLAUDE.md

Project instructions for managing AI rules, commands, and skills for several coding agents from one place.

In plain words
What is it for?
Use them when adding, editing, generating, or synchronising rules, commands, and skills across coding agents.
Why use it?
They help keep shared agent guidance consistent across different tools instead of maintaining separate, conflicting copies by hand.

Instructions file

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/block/ai-rules/claude-md
Clone the repo
git clone --depth 1 https://github.com/block/ai-rules
Per session 17 This file is loaded in full into every session.
When invoked 17 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 100% 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 $0.00017 $0.00017
Opus 5 $0.00009 $0.00009
Sonnet 5 $0.00003 $0.00003
Haiku 4.5 $0.00002 $0.00002

Measured 2d ago against content hash a1e66b52fcfe, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-rules 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 2d 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

100% identical to ai-rules AGENTS.md — 0 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 · 1 lines

What it actually says

ai-rules/.generated-ai-rules/ai-rules-generated-AGENTS.md

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. 2d ago First seen · 1 lines · 17 tokens per session scan A a1e66b52fcfe

Subscribe to this mod's changes

ai-rules CLAUDE.md is an instructions file published in the GitHub repository block/ai-rules (128 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 17 tokens to every session, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ai-rules AGENTS.md, differing in 0 lines, and is treated as a copy.

Related

Other instructions, from other repositories

awesome-ai-rules copilot-instructions.md

Copilot instructions for shumatsumonobu/awesome-ai-rules, covering copilot instructions, code style, database and don't.

shumatsumonobu/awesome-ai-rules · 236 tokens

awesome-ai-rules react.instructions.md

Instructions for shumatsumonobu/awesome-ai-rules: This file activates ONLY when Copilot is working on .tsx files (controlled by the applyTo pattern above). The main copilot-instructions.md applies globally; this adds React-specific rules on top.

shumatsumonobu/awesome-ai-rules · 209 tokens

awesome-ai-rules testing.instructions.md

Instructions for shumatsumonobu/awesome-ai-rules: This file activates ONLY when Copilot is working on test files (controlled by the applyTo pattern above). Unlike Cursor's agent-requested mode, Copilot requires an explicit file pattern -- it won't pull this in based on task context alone.

shumatsumonobu/awesome-ai-rules · 178 tokens

aider-desk AGENTS.md

AGENTS.md instructions for hotovo/aider-desk, covering agents.md, common commands, development, type checking and linting and formatting.

hotovo/aider-desk · 1,725 tokens

PPT-Design-Skill CLAUDE.md

Instructions for sunchaokun/PPT-Design-Skill: Use the ppt-design-skill workflow for presentation design tasks. The published pptx-designer Python library creates the editable PPTX; this repository owns the design process, installation, rendering, and PNG review.

sunchaokun/PPT-Design-Skill · 139 tokens

agent-toolkit AGENTS.md

Instructions for sanity-io/agent-toolkit, covering sanity project, commands, mcp setup, schema & types and development.

sanity-io/agent-toolkit · 2,500 tokens