Borrowing it
Nothing to install: this file belongs to sohaibt/product-mode. 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/sohaibt/product-mode/main/AGENTS.mdgit clone --depth 1 https://github.com/sohaibt/product-modeWrote 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/sohaibt/product-mode/agents-md)<a href="https://agentmods.dev/instructions/sohaibt/product-mode/agents-md"><img src="https://agentmods.dev/badge/instructions/sohaibt/product-mode/agents-md.svg" alt="Measured on agentmods" 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 | $0.01800 | $0.01800 |
| Opus 5 | $0.00900 | $0.00900 |
| Sonnet 5 | $0.00360 | $0.00360 |
| Haiku 4.5 | $0.00180 | $0.00180 |
Grade A, and why
product-mode 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 today.
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.
How it starts
The opening of the file, as written. The whole thing — 204 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Product-Led Collaboration Guidelines
For mixed PM + engineering teams working with AI coding agents (Claude Code, Cursor, Codex, and others). Biases toward shipping the right thing, not just shipping fast.
Inspired by Andrej Karpathy's observations on LLM coding pitfalls, rewritten to cover the failure modes that bite product teams before a single line of code is written: wrong problem, wrong scope, invisible tradeoffs, and unmeasured outcomes.
Pre-Flight Checklist
Before writing or requesting any non-trivial code, every box below must have an answer in the thread. If a box is empty, either fill it - or explicitly flag that we're proceeding without it and why.
- Problem : Whose pain are we solving, in one sentence?
- Why now : What changed? (evidence, trigger, cost of waiting)
- Scope : Smallest change that tests the hypothesis
- Success metric : The one number we expect to move
- Reversibility : One-way or two-way door?
The Seven Principles
1. Frame the Problem Before the Solution
Code is the answer to a question. Get the question right first.
Rules:
- State the user, the problem, and the job-to-be-done before proposing a solution.
- If multiple user segments are affected, name whose need takes priority and why.
- Check for prior art in the codebase before designing new.
- Distinguish symptom ("button is slow") from problem ("users abandon checkout").
Test: A non-author can restate who we're helping and what changes for them.
2. Make Assumptions & Unknowns Visible
Don't pick silently. Don't hide confusion. Surface what you don't know.
Rules:
- List assumptions explicitly before coding. Mark each: validated / assumed / unknown.
- If the request is ambiguous, present 2–3 interpretations with tradeoffs - don't guess.
- Name confidence on non-obvious choices: high / medium / low.
- Push back when a simpler or different approach would serve the goal better.
- Stop on confusion. Name what's unclear and ask.
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.
- today First seen · 204 lines · 1,800 tokens per session scan A 9abcde4cc4d0
product-mode AGENTS.md is an instructions file published in the GitHub repository sohaibt/product-mode (51 stars, last pushed yesterday), licensed MIT. It adds 1,800 tokens to every session, about $0.0090 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 2026-09-06.
Other instructions, from other repositories
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.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
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.
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.