Builderforce.ai AGENTS.md

Builderforce.ai AGENTS.md is an instructions file for Codex, OpenCode from SeanHogg/Builderforce.ai. It costs 376 tokens per session, scanned A, original, MIT.

A set of coding rules for a software project, covering code structure, reusable logic, translations, and design decisions. It guides changes toward a layered architecture, where the user interface, application logic, business rules, and technical integrations have separate roles.

In plain words
What is it for?
Use it when adding features, changing user-visible text, organizing application layers, or checking whether a change follows the project's engineering rules.
Why use it?
It reduces duplicated code, tangled dependencies, inconsistent translations, and components that try to do too many jobs. It also gives developers a shared standard for reviewing completed work.

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/seanhogg/builderforce.ai/agents-md
Clone the repo
git clone --depth 1 https://github.com/SeanHogg/Builderforce.ai

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.

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README.md
[![agentmods](https://agentmods.dev/badge/instructions/seanhogg/builderforce.ai/agents-md.svg)](https://agentmods.dev/instructions/seanhogg/builderforce.ai/agents-md)
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Per session 376 This file is loaded in full into every session.
When invoked 376 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.

ModelPer sessionOnce invoked
Fable 5 $0.00376 $0.00376
Opus 5 $0.00188 $0.00188
Sonnet 5 $0.00075 $0.00075
Haiku 4.5 $0.00038 $0.00038

Measured 3d ago against content hash c7cd9f4ba552, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Builderforce.ai 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.

AGENTS.md · 16 lines

How it starts

The opening of the file, as written. The whole thing — 16 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Engineering rules

These rules apply to every change in this repository.

Required design principles

  • DRY: Keep each policy, transformation, contract, and reusable UI behavior in one canonical implementation. Reuse or extract shared code instead of copying logic or markup. Do not introduce an abstraction until there is a real shared responsibility.
  • SOLID: Keep units focused, extend behavior through explicit interfaces and composition, preserve substitutability, expose narrow consumer-specific contracts, and depend on abstractions at architectural boundaries. Avoid multipurpose components, broad service interfaces, and hidden coupling.
  • N-layer architecture: Preserve the presentation → application → domain → infrastructure dependency direction. Presentation code owns view state, application code coordinates use cases, domain code owns business rules, and infrastructure code implements storage and runtime adapters. Domain code must not depend on presentation or infrastructure details.
  • Localization: All user-visible copy must come from the localization system. Add or update keys in every supported locale catalog in the same change. Do not hard-code labels, placeholders, notices, accessibility text, tooltips, or empty/error states in UI components.
  • Registry-driven localization: Any registry, configuration array, or data model that stores localization keys must have a focused test which resolves every referenced key against every supported locale. Catalog-to-catalog parity is not sufficient because a key can be absent from all catalogs. Adding or changing a labelKey, titleKey, descriptionKey, or equivalent is incomplete until the source-to-catalog test passes.

Completion check

Before considering work complete, review changed code for duplication, responsibility leakage, layer violations, and untranslated user-facing strings. Treat violations as blockers and run the relevant typechecks and focused tests. When a change touches localized copy or a localization-key registry, frontend/src/i18n/messages.test.ts is a required focused test.

Read the full file on GitHub · 16 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 · 16 lines · 376 tokens per session scan A c7cd9f4ba552

Subscribe to this mod's changes

Builderforce.ai AGENTS.md is an instructions file published in the GitHub repository SeanHogg/Builderforce.ai (5 stars, last pushed today), licensed MIT. It adds 376 tokens to every session, about $0.0019 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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