Doberman-Core AGENTS.md

Doberman-Core AGENTS.md is an instructions file for Codex, OpenCode from DobermanCore/Doberman-Core. It costs 3,567 tokens per session, scanned A, original, Apache-2.0.

An operating manual for Doberman Core that tells AI coding assistants how to start work, understand the repository, and follow its development rules.

In plain words
What is it for?
It guides assistants through checking recent changes, reading project documentation, choosing the next development slice, and following required coding and review rules.
Why use it?
It separates the repository's working procedures from its feature plans, so assistants know what to read and which planned change to implement.

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/dobermancore/doberman-core/agents-md
Clone the repo
git clone --depth 1 https://github.com/DobermanCore/Doberman-Core

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 Doberman-Core AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/dobermancore/doberman-core/agents-md.svg)](https://agentmods.dev/instructions/dobermancore/doberman-core/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/dobermancore/doberman-core/agents-md"><img src="https://agentmods.dev/badge/instructions/dobermancore/doberman-core/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 3,567 This file is loaded in full into every session.
When invoked 3,567 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 $0.03567 $0.03567
Opus 5 $0.01784 $0.01784
Sonnet 5 $0.00713 $0.00713
Haiku 4.5 $0.00357 $0.00357

Measured today against content hash e934bb2a6e92, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

Doberman-Core 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 252 lines

How it starts

The opening of the file, as written. The whole thing — 252 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — Doberman Operating Manual

This is the init file for this repository. It governs any AI agent (Claude Code, Codex, Cursor, etc.) working here. It is the HOW. The WHAT — the feature roadmap and per-slice detail — lives in README.md (public summary) and, if present in your working tree, the project development plan you keep alongside it. Content is identical to AGENTS.md; keep the two in sync (or symlink one to the other). If this file conflicts with a casual prompt instruction, this file wins unless a human overrides it in writing.


0. On startup (every session)

  1. Read this entire file, then skim README.md for the current feature set, versioning, and roadmap. If you keep a local development plan alongside the repo, read the relevant slice there for the extra detail (objective, files, edge cases, suggested tests, suggested commit message).
  2. git status + git log --oneline -5.
  3. Pick the next slice (the lowest-numbered unmerged slice in the planned order).
  4. If the repo lacks scaffolding (pyproject.toml / .github/workflows/ci.yml), do Slice 0 (Bootstrap) first (§6).
  5. Execute exactly one slice via The Slice Loop (§5), then STOP and report. Stop at every review checkpoint.

1. What this repository is

Doberman is an adaptive authorization layer for coding agents, released publicly under Apache-2.0.

It distributes as the doberman package (src/doberman/) and is designed to be genuinely functional on its own — schema, interfaces, the runtime harness, adapters, and the built-in rules all live here. It is not crippleware.

Doberman is built to be extensible: it declares stable interfaces (Rule / Detector / AuthProvider / AuditSink) and a runtime registry that discovers implementations via Python entry points. Additional packages can register their own rules, detectors, auth providers, or audit sinks without Doberman importing them by name — the core never takes a static dependency on any plugin. With only doberman installed, it works (built-in protection); a plugin package is imported only after you name it with doberman plugins enable <entry-point name> — nothing loads because it is merely installed.

Read the full file on GitHub · 252 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. today Changed · +1 lines · +20 tokens per session e934bb2a6e92
  2. 4d ago First seen · 251 lines · 3,547 tokens per session scan A 09725b842087

Subscribe to this mod's changes

Doberman-Core AGENTS.md is an instructions file published in the GitHub repository DobermanCore/Doberman-Core (197 stars, last pushed today), licensed Apache-2.0. It adds 3,567 tokens to every session, about $0.0178 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 2026-08-30.