EngramGraph: Skill for Claude Code

.agents/skills/ai-instruction-standards/SKILL.md

ai-instruction-standards is a skill for Claude Code, Codex from AsiaOstrich/EngramGraph. It costs 118 tokens per session (2,689 once invoked), scanned A, original, MIT.

A guide for creating and maintaining instruction files such as CLAUDE.md, AGENTS.md, and editor rule files that tell coding assistants how to work in a project.

In plain words
What is it for?
Use it when setting up, reviewing, or updating instruction files for AI coding assistants.
Why use it?
It helps separate general AI rules from project-specific guidance, reducing confusing or inconsistent instructions across coding tools.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for cline. Also seen: reads .claude/ paths; mentions CLAUDE.md; mentions subagents.

This is AsiaOstrich/EngramGraph's own configuration. It tells Claude Code and Codex how to work on EngramGraph 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 EngramGraph configures →

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is **Language**: English | [繁體中文](../../locales/zh-TW/skills/ai-instruction-standards/SKILL.md).

Reuse

Borrowing it

Nothing to install: this file belongs to AsiaOstrich/EngramGraph. 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/AsiaOstrich/EngramGraph/main/.agents/skills/ai-instruction-standards/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/AsiaOstrich/EngramGraph

Made for: Claude Code, Codex.

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 ai-instruction-standards

README.md
[![agentmods](https://agentmods.dev/badge/skills/asiaostrich/engramgraph/ai-instruction-standards/github.svg)](https://agentmods.dev/skills/asiaostrich/engramgraph/ai-instruction-standards)
Your own site
<a href="https://agentmods.dev/skills/asiaostrich/engramgraph/ai-instruction-standards"><img src="https://agentmods.dev/badge/skills/asiaostrich/engramgraph/ai-instruction-standards/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.

agentmods 80×15 button for ai-instruction-standards

Your own site · 80×15
<a href="https://agentmods.dev/skills/asiaostrich/engramgraph/ai-instruction-standards"><img src="https://agentmods.dev/badge/skills/asiaostrich/engramgraph/ai-instruction-standards.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 118 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,689 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00118 $0.02689
Opus 5.5 $0.00047 $0.01076
Sonnet 5.5 $0.00024 $0.00538
Haiku 4.5 $0.00012 $0.00269

Measured 14d ago against content hash 95d8d91c1773, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-instruction-standards 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 14d 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.

.agents/skills/ai-instruction-standards/SKILL.md · 326 lines

How it starts

The opening of the file, as written. The whole thing — 326 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Instruction File Standards Guide

Language: English | 繁體中文

Version: 2.0.0 Last Updated: 2026-04-28 Applicability: All AI coding tools


Core Standard: This skill implements AI Instruction File Standards. For comprehensive methodology documentation, refer to the core standard.

AI Skills Hierarchy | AI 技能層級

This skill is part of a three-layer AI collaboration system:

Layer Skill Question it Answers
Behavior (Immediate) /ai-collaboration "How should AI respond accurately?"
Configuration (Session) /ai-instruction-standards (this) "What to write in CLAUDE.md / AGENTS.md?"
Architecture (Long-term) /ai-friendly-architecture "How to structure code for AI?"

Purpose

This skill helps create and maintain AI instruction files with proper separation between universal standards and project-specific configurations, across all major AI coding tools.


Quick Reference

Supported AI Tools (2026-04-28)

CLI / Agent Tools (Terminal)
Tool Primary File Workflow Mechanism MCP
Claude Code CLAUDE.md + .claude/rules/*.md Skills (.claude/skills/ → /{name}) ✅
Gemini CLI GEMINI.md .gemini/commands/*.toml → /{name} ✅
OpenAI Codex CLI AGENTS.md (+ AGENTS.override.md) Team commands; /review built-in ✅
OpenCode AGENTS.md (CLAUDE.md compatible) Built-in only (/init /undo /share) ✅
AI-native IDE / Editor Integration
Tool Primary File Workflow Mechanism MCP
Cursor .cursor/rules/*.mdc ⚠️ @-mentions; /multitask ✅
GitHub Copilot .github/copilot-instructions.md .github/prompts/*.prompt.md → /{name} ✅
Windsurf .windsurfrules / .windsurf/rules/*.md .windsurf/workflows/*.md → /{name} ✅
Cline .clinerules None ✅

Read the full file on GitHub · 326 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. 14d ago First seen · 326 lines · 118 tokens per session scan A 95d8d91c1773

Subscribe to this mod's changes

ai-instruction-standards is a skill published in the GitHub repository AsiaOstrich/EngramGraph (3 stars, last pushed today), licensed MIT. It adds 118 tokens to every session and 2,689 once invoked, about $0.0005 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 2026-10-16.

Related

Other skills, from other repositories

kivgraph

Use Kivgraph's local MCP server to search symbols, read their source, and follow references, dependencies, cross-repository consumers and graph status in the indexed code graph.

Luqueee/kivgraph · 39 tokens

mushroom

Live graph memory for agents — query and create entities, derive relationships by rule, explain why two things are associated, read the graph at a past commit, ask what a change would do, and answer as one role. Trigger on: memory, remember, recall, relationship, entity, association, why are X and Y related, as of…

MatthewSherlin/mushroomdb · 0 tokens

omnigraph

Operate OmniGraph graphs and deployments. Use for .pg schemas, .gq queries, OmniGraph CLI commands, file:///s3:///az:// graph URIs, cluster.yaml, operator config, bearer-authenticated servers, graph-backed knowledge or memory, Blob values, embeddings, branches, commits, and change feeds. Apply especially before schema…

ModernRelay/omnigraph · 94 tokens

code-graph

This skill should be used when understanding code structure, finding dependencies between functions/classes, tracing call graphs, or exploring code relationships. Trigger phrases include 'code graph', 'call graph', 'who calls', 'what calls', 'find dependencies', 'code structure', 'inheritance', 'find paths'.

FalkorDB/code-graph · 64 tokens

usage

Query LeanKG knowledge graph for code understanding. Use when exploring a codebase, finding functions, tracing dependencies, or calculating impact radius.

FreePeak/LeanKG · 27 tokens

codestory-grounding

Use when discovering repository structure, tracing relationships, analyzing change impact, or validating CodeStory retrieval or an installed plugin through the CodeStory plugin MCP. Skip only for bounded inspection or editing of named files that does not require those operations.

TheGreenCedar/CodeStory · 52 tokens