What is ai-fication-kit AGENTS.md?

General instructions for AI coding assistants working on ai-fication-kit, a toolkit that builds a trusted map of an existing or legacy codebase. They define how to locate code, preserve structure, test changes, and label project knowledge.

Use them when exploring the repository, planning or implementing features, fixing bugs, writing knowledge-base entries, running tests, or reviewing whether documentation has drifted.

They reduce accidental changes in unfamiliar code and keep the project's documentation traceable. They also set expectations for testing, licensing, and small, focused edits.

ai-fication-kit AGENTS.md — Instructions file for Codex and OpenCode by kunalsuri: General instructions for AI coding assistants working on

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/kunalsuri/ai-fication-kit/agents-md

Clone the repo

git clone --depth 1 https://github.com/kunalsuri/ai-fication-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/kunalsuri/ai-fication-kit/agents-md.svg)](https://agentmods.dev/instructions/kunalsuri/ai-fication-kit/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/kunalsuri/ai-fication-kit/agents-md"><img src="https://agentmods.dev/badge/instructions/kunalsuri/ai-fication-kit/agents-md.svg" alt="Measured on agentmods" height="20"></a>

Per session 850 This file is loaded in full into every session.

When invoked 850 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.

Model	Per session	Once invoked
Fable 5	$0.00850	$0.00850
Opus 5	$0.00425	$0.00425
Sonnet 5	$0.00170	$0.00170
Haiku 4.5	$0.00085	$0.00085

Measured 5d ago against content hash fe9ecc639216, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ai-fication-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 5d 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 · 53 lines

How it starts

The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — ai-fication-kit

Tool-agnostic instructions for any AI coding agent (Claude Code, Codex, Cursor, Copilot, Windsurf). Claude Code reads these via @AGENTS.md in CLAUDE.md (see CLAUDE.md); other tools read this file directly.

Project

A Toolkit to Give AI Coding Agents a Trusted Map of Any Existing/Legacy Repo Stack: JavaScript/TypeScript.

Rules every agent must follow

Respect existing boundaries. Treat unfamiliar, load-bearing code as frozen until the module map says otherwise.
No layout churn. Don't reorganize directories; existing contributors depend on the structure.
Test before done. Run the suite matching your change; never declare success untested. Build: npm install · Test: npm test
Match license headers on every new source file, copying from neighboring files.
Locate, then read. Use ai/guide/MODULE_MAP.md to find code; grep before reading whole files.
Surgical diffs. Change only what the task needs.
Provenance. Anything you write into ai/ is [inferred] until a human flips it to [verified]. Never flip that tag yourself.
No Phantom Bugs & Configuration Churn. Do not rewrite, restructure, or simplify configuration or instruction files (CLAUDE.md, AGENTS.md, package.json, or ai/guide/ documents) based on quick searches or automated suggestions. Keep edits surgical. Never replace detailed guides with simplified stubs.
Verify claims. Before declaring a task finished, run node install.mjs verify . --strict (or equivalent test runner validation script) to ensure no file paths in the knowledge documents are broken.
Record work. Every unit of work ends with an appended row in ai/lab/WORKLOG.md linking its spec, review, and commits — even work done outside the command workflows.

Knowledge map

Navigation (fast path): ai/guide/MODULE_MAP.md (where code lives), ai/guide/ARCHITECTURE.md (system shape), ai/guide/FEATURE_MAP.md (feature → files

gotchas), ai/guide/CONVENTIONS.md (how to write code here).

Read the full file on GitHub · 53 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.

5d ago First seen · 53 lines · 850 tokens per session scan A fe9ecc639216

Subscribe to this mod's changes

ai-fication-kit AGENTS.md is an instructions file published in the GitHub repository kunalsuri/ai-fication-kit (3 stars, last pushed yesterday), licensed Apache-2.0. It adds 850 tokens to every session, about $0.0042 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 2026-08-31.

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