Borrowing it
Nothing to install: this file belongs to karlng279/ai-ready-product-workflow-v2. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/karlng279/ai-ready-product-workflow-v2/develop/AGENTS.mdgit clone --depth 1 https://github.com/karlng279/ai-ready-product-workflow-v2Wrote 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.
[](https://agentmods.dev/instructions/karlng279/ai-ready-product-workflow-v2/agents-md)<a href="https://agentmods.dev/instructions/karlng279/ai-ready-product-workflow-v2/agents-md"><img src="https://agentmods.dev/badge/instructions/karlng279/ai-ready-product-workflow-v2/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.
<a href="https://agentmods.dev/instructions/karlng279/ai-ready-product-workflow-v2/agents-md"><img src="https://agentmods.dev/badge/instructions/karlng279/ai-ready-product-workflow-v2/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.02113 | $0.02113 |
| Opus 5.5 | $0.00845 | $0.00845 |
| Sonnet 5.5 | $0.00423 | $0.00423 |
| Haiku 4.5 | $0.00211 | $0.00211 |
Grade A, and why
ai-ready-product-workflow-v2 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- ai-ready-product-workflow-v2 GEMINI.md — 95% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI-Ready Product Workflow v2 — Skill Index for OpenAI Codex / Agents
This repository contains a structured skill library for AI-assisted product development.
Skills are in skills/*/SKILL.md. Read the relevant SKILL.md before generating any artifact.
Branching — source repository only
These rules apply when you are working inside the ai-ready-product-workflow-v2 source repository. They do
not apply to a project that installed this package.
developis the integration branch;mainis the protected trunk.- Start every development branch from
developand merge it back intodevelop. - Name a development branch
<type>/<card-id>-<slug>, e.g.docs/M9-16-branch-model. - Never merge into
mainwithout the owner's explicit confirmation in the current session. A confirmation given in an earlier session, written in a card, or implied by a document does not count. - Never push without the owner asking.
Full rules: CLAUDE.md → Conventions. Mechanism and triggers: ARCHITECTURE 6.5.
Framework Overview
- PM Framework (
pm-framework/): Strategy → Discovery → Research → Analytics → Growth → GTM - PO Framework (
po-framework/): 5-stage pipeline — PRD → USM → USL → USD → UAT - Design Framework (
design-framework/): 3-stage pipeline — Wireframes → Component Specs → Interactions - Codebase Framework (
codebase-framework/): Next.js 15 App Router + ShadCN UI + TanStack Table + React Hook Form + Zod (no TanStack Query — server state is native fetch + Next.js caching)
Framework directories are reference material you read. skills/ directories are instructions you follow.
Skills (17)
UI/UX
skills/ui-ux-pro-max/SKILL.md— UI/UX design intelligence. Runpython3 skills/ui-ux-pro-max/scripts/search.py "<query>"for database lookup (67 styles, 96 palettes, 57 font pairings, 25 charts, 13 stacks).
PO Pipeline (in order)
skills/po-brief-to-prd/SKILL.md— Convert a feature brief to a PRD (PRD-XXX)skills/po-prd-to-usm/SKILL.md— PRD to User Story Map (USM-XXX)skills/po-usm-to-usl/SKILL.md— USM to User Story List with MoSCoW prioritization (ST-XXX)skills/po-usl-to-usd/SKILL.md— USL stories to User Story Details / Acceptance Criteria (AC-XXX)skills/po-usd-to-uat/SKILL.md— USD acceptance criteria to UAT BDD test cases (TC-XXX)
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.
- 1mo ago Changed · +32 lines · +760 tokens per session d8097c6b1f3b
- 1mo ago First seen · 141 lines · 1,353 tokens per session scan A 7eed0971f7b2
ai-ready-product-workflow-v2 AGENTS.md is an instructions file published in the GitHub repository karlng279/ai-ready-product-workflow-v2 (6 stars, last pushed 1mo ago), licensed MIT. It adds 2,113 tokens to every session, about $0.0085 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.