What is digital-twin-career-agent AGENTS.md?

Project-specific instructions for a digital-twin career agent built with Next.js, React, an AI SDK, PostgreSQL, and Vercel services.

Use them when changing this project’s pages, chat interface, API routes, agent configuration, database code, workflows, or deployment setup.

They warn developers about project conventions, architecture, and framework changes that could otherwise lead to incorrect code.

How Jeiseu/digital-twin-career-agent configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to Jeiseu/digital-twin-career-agent. 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/Jeiseu/digital-twin-career-agent/main/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/Jeiseu/digital-twin-career-agent

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/jeiseu/digital-twin-career-agent/agents-md/github.svg)](https://agentmods.dev/instructions/jeiseu/digital-twin-career-agent/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/jeiseu/digital-twin-career-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/jeiseu/digital-twin-career-agent/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/jeiseu/digital-twin-career-agent/agents-md"><img src="https://agentmods.dev/badge/instructions/jeiseu/digital-twin-career-agent/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 983 This file is loaded in full into every session.

When invoked 983 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	$0.00983	$0.00983
Opus 5.5	$0.00393	$0.00393
Sonnet 5.5	$0.00197	$0.00197
Haiku 4.5	$0.00098	$0.00098

Measured 2mo ago against content hash 8eb50faeaf10, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

digital-twin-career-agent 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 · 86 lines

How it starts

The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.

This is NOT the Next.js you know

This version has breaking changes — APIs, conventions, and file structure may all differ from your training data. Read the relevant guide in node_modules/next/dist/docs/ before writing any code. Heed deprecation notices.

Agents & Architecture

Digital Twin Career Agent — Team 1

Tech Stack

Layer	Technology
Frontend	Next.js 16, React 19, Shadcn UI, Tailwind CSS
AI Agent	Vercel AI SDK v6
Backend	Next.js API Routes (TypeScript)
Database	Neon Postgres (via Vercel Storage)
Workflows	Vercel Workflows
Voice (Phase 2)	Deepgram STT, ElevenLabs TTS, Twilio
Deployment	Vercel

Project Architecture

src/
├── app/                        # Next.js App Router pages
│   ├── page.tsx                # Landing page with chat UI
│   ├── layout.tsx              # Root layout
│   └── api/
│       ├── chat/               # AI streaming endpoint
│       └── tools/              # Tool call handlers
├── components/
│   ├── chat/                   # Chat UI components
│   └── ui/                     # Shadcn UI components
├── lib/
│   ├── ai/                     # Agent config, system prompt, tool definitions
│   ├── db/                     # Neon Postgres client, schema, queries
│   ├── workflows/              # Vercel Workflow definitions
│   └── voice/                  # Phase 2: Deepgram, ElevenLabs, Twilio

Agent Interaction Flow

Visitor → Web UI / Phone Call
       → AI Agent (Vercel AI SDK v6)
       → Tool Calls (save contact, fetch profile, trigger booking)
       → Neon Postgres (persist conversation + metadata)
       → Response streamed back to visitor
       → Vercel Workflow triggered (follow-up email, analytics)

Agent Tools

Tool	Description
`saveContact`	Saves visitor name, email, and intent to the database
`fetchProfile`	Retrieves the owner's profile data to present to visitors
`triggerBooking`	Initiates a meeting booking workflow

Read the full file on GitHub · 86 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 First seen · 86 lines · 983 tokens per session scan A 8eb50faeaf10

Subscribe to this mod's changes

digital-twin-career-agent AGENTS.md is an instructions file published in the GitHub repository Jeiseu/digital-twin-career-agent (5 stars, last pushed 6mo ago), licensed MIT. It adds 983 tokens to every session, about $0.0039 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 2026-08-31.

digital-twin-career-agent AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
digital-twin-career-agent AGENTS.mdJeiseu/digital-twin-career-agent	Instructions file	5	6mo ago	MIT	A	983	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

digital-twin-career-agent: Instructions file for Codex