What is ai-context-kit AGENTS.md?

Project instructions for AI Context Kit, a repository that organizes persistent user and project context for AI collaboration. It separates instructions, which define context, from prompts, which request day-to-day work.

Use them when editing the context system, creating instruction or skill templates, or deciding which repository document should guide an agent.

They clarify which specifications, templates, skills, prompts, and examples are authoritative when files disagree.

How MSiccDev/ai-context-kit configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to MSiccDev/ai-context-kit. 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/MSiccDev/ai-context-kit/development/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/MSiccDev/ai-context-kit

Made for: Codex, OpenCode.

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.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/msiccdev/ai-context-kit/agents-md/github.svg)](https://agentmods.dev/instructions/msiccdev/ai-context-kit/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/msiccdev/ai-context-kit/agents-md"><img src="https://agentmods.dev/badge/instructions/msiccdev/ai-context-kit/agents-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.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/msiccdev/ai-context-kit/agents-md"><img src="https://agentmods.dev/badge/instructions/msiccdev/ai-context-kit/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,380 This file is loaded in full into every session.

When invoked 2,380 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 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.

Model	Per session	Once invoked
Fable 5.1	$0.02380	$0.02380
Opus 5.5	$0.00952	$0.00952
Sonnet 5.5	$0.00476	$0.00476
Haiku 4.5	$0.00238	$0.00238

Measured 2mo ago against content hash 71857692b9d5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-context-kit AGENTS.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 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.

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.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AI Context Kit Agent Guide

Purpose

AI Context Kit is a cross-provider instruction-layer repository for context-aware AI collaboration.

This repository distinguishes:

Instructions: persistent context artifacts (*.instructions.md for user context and AGENTS.md for project context) that define who the user is, what the project is, and how collaboration should run.
Prompts/queries: day-to-day requests made inside that instructed environment.

Source Of Truth And Precedence

Use this order when files differ:

Specification (authoritative, v1.5.0): specs/context_aware_ai_session_spec.md
Templates (canonical structures): templates/*.instructions.md and templates/skill_template/SKILL.md
Skills (canonical operational workflows): skills/*/SKILL.md and skill-local references
Prompts: prompts/skills/*.prompt.md (compatibility wrappers — must defer detailed logic to skills); prompts/loop/*.prompt.md (implementation loop steps — self-contained workflow prompts)
Samples and validation artifacts (illustrative records): usercontexts/*.instructions.md, related *.validation.md

Repository Map

Path	Purpose
`specs/`	Normative session-model specification and terminology
`templates/`	Canonical instruction templates aligned to the spec
`skills/`	Canonical workflow skills (`SKILL.md` folders) and skill-local resources
`prompts/skills/`	Compatibility wrappers that route workflows to canonical skills
`prompts/loop/`	Numbered step prompts for the implementation loop (readiness-check → implementation → self-review → learnings → human-in-the-loop); invoke in order, learnings is optional
`usercontexts/`	User-context instruction examples and validation reports

Scope And Precedence For AGENTS.md Files

An AGENTS.md file applies to the directory it is in and all subdirectories.
If multiple AGENTS.md files apply, the closest (deepest) one wins for files in its subtree.
Keep root AGENTS.md global and nested AGENTS.md files folder-specific.
If instructions conflict or remain unclear after precedence, ask before proceeding.

Read the full file on GitHub · 222 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.

2mo ago Changed 71857692b9d5
2mo ago First seen · 222 lines · 2,380 tokens per session scan A ad2e02021a6c

Subscribe to this mod's changes

ai-context-kit AGENTS.md is an instructions file published in the GitHub repository MSiccDev/ai-context-kit (12 stars, last pushed 12d ago), licensed MIT. It adds 2,380 tokens to every session, about $0.0095 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 2026-08-30.

Memory and context ai ai-instructions context context-engineering instructions llm-context

ai-context-kit AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
ai-context-kit AGENTS.mdMSiccDev/ai-context-kit	Instructions file	12	12d ago	MIT	A	2,380	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	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	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

ai-context-kit: Instructions file for Codex