upgradeseo AGENTS.md

upgradeseo AGENTS.md is an instructions file for Codex, OpenCode from upgrade-ventures/upgradeseo. It costs 493 tokens per session, scanned A, a copy of open-seo AGENTS.md, MIT.

A set of project instructions for AI coding assistants working on the UpgradeSEO codebase. It covers coding practices, testing, and how to record small development problems and useful review lessons.

In plain words
What is it for?
Use it to guide implementation and testing choices, validate data, maintain the project's server and database code, and document development friction.
Why use it?
It gives coding work a consistent standard and helps the team preserve fixes for recurring setup or maintenance problems.

Instructions file for CodexOpenCode

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/upgrade-ventures/upgradeseo/agents-md
Clone the repo
git clone --depth 1 https://github.com/upgrade-ventures/upgradeseo

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.

agentmods badge for upgradeseo AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/upgrade-ventures/upgradeseo/agents-md.svg)](https://agentmods.dev/instructions/upgrade-ventures/upgradeseo/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/upgrade-ventures/upgradeseo/agents-md"><img src="https://agentmods.dev/badge/instructions/upgrade-ventures/upgradeseo/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 493 This file is loaded in full into every session.
When invoked 493 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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.

ModelPer sessionOnce invoked
Fable 5 $0.00493 $0.00493
Opus 5 $0.00246 $0.00246
Sonnet 5 $0.00099 $0.00099
Haiku 4.5 $0.00049 $0.00049

Measured 3d ago against content hash ceb5aebad460, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

upgradeseo 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 3d 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.

Origin

This is a copy

100% identical to open-seo AGENTS.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

AGENTS.md · 26 lines

How it starts

The opening of the file, as written. The whole thing — 26 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent guidance

Engineering principles

  • Prefer simple, readable, flat code with minimal indirection.
  • Search for existing implementations and installed libraries before creating new helpers or abstractions.
  • Abstract when it prevents meaningful drift and makes the result simpler to maintain. Avoid speculative or one-use abstraction layers.
  • Keep product data normalized and relationships explicit. Do not encode relational data in JSON or text merely to avoid joins.
  • For new application-backed backend functionality, default to: TanStack server function → service → repository.
  • Keep schema changes, queries, and mutations compatible with both SQLite and Postgres.
  • Use idiomatic TypeScript. Use Zod to validate untrusted data and narrow runtime values at trust boundaries.
  • Prefer established project helpers and libraries over hand-rolled implementations.
  • Prefer idiomatic TanStack Query, Router, and Form patterns for server state, routing, and submitted forms.

Log papercuts

When small, non-blocking repository friction occurs—a retried tool call, confusing setup step, flaky command, stale cache, misleading error, or non-obvious gotcha—use the papercuts skill and append it to .agents/PAPERCUTS.md in the moment. Continue the current task. Real bugs and tracked work are not papercuts, and sensitive data must never be logged.

Do not mine an entire session for papercuts or start a broad cleanup unless the user explicitly asks.

Preserve review learnings

After a merge-ready or other code review verifies a finding, use maintain-greptile-rules only when the finding exposes a recurring or high-risk repository invariant that existing .greptile/ context and automated checks do not capture. Do not promote one-off bugs or preferences into permanent review rules.

Changes to .greptile/**, AGENTS.md, CLAUDE.md, .agents/skills/**, and .github/** alter the review control plane and must receive explicit maintainer review. CODEOWNERS requests that review; where repository settings allow, enable GitHub's requirement for code-owner approval. Repository-specific rules live in .greptile/; maintainers should configure or retain a minimal org-enforced Greptile baseline for external-contribution, secret, authentication, billing, CI, and rule-tampering risks. Agents should report an unverified or missing baseline and must not mutate dashboard or organization rules without explicit user authorization.

Read the full file on GitHub · 26 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.

  1. 3d ago First seen · 26 lines · 493 tokens per session scan A ceb5aebad460

Subscribe to this mod's changes

upgradeseo AGENTS.md is an instructions file published in the GitHub repository upgrade-ventures/upgradeseo (0 stars, last pushed 16d ago), licensed MIT. It adds 493 tokens to every session, about $0.0025 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to open-seo AGENTS.md, differing in 0 lines, and is treated as a copy.