Borrowing it
Nothing to install: this file belongs to JoaoEquer/Oficina. 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/JoaoEquer/Oficina/main/AGENTS.mdgit clone --depth 1 https://github.com/JoaoEquer/OficinaWrote 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/joaoequer/oficina/agents-md)<a href="https://agentmods.dev/instructions/joaoequer/oficina/agents-md"><img src="https://agentmods.dev/badge/instructions/joaoequer/oficina/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/joaoequer/oficina/agents-md"><img src="https://agentmods.dev/badge/instructions/joaoequer/oficina/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 | $0.00623 | $0.00623 |
| Opus 5.5 | $0.00249 | $0.00249 |
| Sonnet 5.5 | $0.00125 | $0.00125 |
| Haiku 4.5 | $0.00062 | $0.00062 |
Grade A, and why
Oficina 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 11d 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.
What it actually says
AGENTS.md — Oficina
Entry point for harnesses that read AGENTS.md (Codex, Cursor, OpenCode, Gemini CLI and similar).
This repository is a lean harness of working patterns for the Node.js + TypeScript + Prisma stack — Express (manual Clean Architecture) in the production backends it was extracted from, NestJS kept for projects that explicitly pick it.
When working on any project that references this harness:
-
Follow the always-on rules in
rules/:rules/engineering-philosophy.md— how the team decides (pragmatism, no over-engineering)rules/git-workflow.md— branches, commits, documentation from day 0rules/security-baseline.md— security and multi-tenancy non-negotiablesrules/agent-workflow.md— how to direct the agent itself (plan before code, scoped sessions, early correction)
-
Consult the skills in
skills/before executing tasks in the covered areas. House patterns (extracted from repeated real usage — Path 1 indocs/HOW-TO-GROW.md):express-prisma-pattern— creating any CRUD route/domain in an Express + Prisma backend (the house stack)prisma-schema-conventions— creating/changing schema, planning migrationsrbac-design— permissions, roles, access controlclickup-task-breakdown— breaking scope into tasksclient-facing-docs— any material the client will readtoken-efficiency— session setup, token/context limits, RTK
Curated skills (audited external adoption closing a confirmed gap — Path 2 in
docs/HOW-TO-GROW.md):domain-modeling— building/sharpening CONTEXT.md glossary and ADRscodebase-design— deep-module vocabulary when designing or reviewing an interfaceimprove-codebase-architecture— scanning a codebase for deepening opportunitiesgrilling— structured requirements interview to stress-test a plan or decisiondiagnosing-bugs— hard bugs and performance regressionstdd— test-first feature/bugfix work, red-green-refactor disciplinesecrets-gitleaks— secret scanning, pre-commit and CI (operationalizessecurity-baseline.md)ci-cd-and-automation— standing up CI/CD quality gates from scratchrag-architect— designing/evaluating a RAG pipelinesentry-setup-ai-monitoring— instrumenting LLM call cost/latency/tokens
-
Documentary source of truth: data model and scope come from the project's documents. Divergence is a blocker to resolve with the tech lead, not a detail to ignore.
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.
- 11d ago Changed · -13 tokens per session 032e87b75e95
- 29d ago Changed · -1 lines · -26 tokens per session ebe57d28642b
- 1mo ago Changed · +13 lines · +327 tokens per session 3f815f08e30f
- 1mo ago First seen · 22 lines · 335 tokens per session scan A 81c8f4dc4ba4
Oficina AGENTS.md is an instructions file published in the GitHub repository JoaoEquer/Oficina (2 stars, last pushed 11d ago), licensed MIT. It adds 623 tokens to every session, about $0.0025 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.
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