iot-dc3 AGENTS.md

Repository-specific AGENTS.md instructions for coding assistants working on pnoker/iot-dc3. They explain how instructions apply, which sources take priority, and how the repository is organised.

In plain words
What is it for?
Orienting development work in the iot-dc3 repository and following its agent-specific rules.
Why use it?
They help an assistant resolve conflicting guidance and find the right parts of the project before changing code.

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/pnoker/iot-dc3/agents-md
Clone the repo
git clone --depth 1 https://github.com/pnoker/iot-dc3

Made for: Codex, OpenCode.

Per session 4,985 This file is loaded in full into every session.
When invoked 4,985 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.04985 $0.04985
Opus 5 $0.02492 $0.02492
Sonnet 5 $0.00997 $0.00997
Haiku 4.5 $0.00498 $0.00498

Measured yesterday against content hash b176ff6b88ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

iot-dc3 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 yesterday.

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 · 434 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. yesterday First seen · 434 lines · 4,985 tokens per session scan A b176ff6b88ff

Subscribe to this mod's changes

iot-dc3 AGENTS.md is an instructions file published in the GitHub repository pnoker/iot-dc3 (1,130 stars, last pushed 3d ago), with no licence file. It adds 4,985 tokens to every session, about $0.0249 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.