emisar AGENTS.md

emisar AGENTS.md is an instructions file for Codex, OpenCode from AndrewDryga/emisar. It costs 10,199 tokens per session, scanned A, original, no licence file.

The main AGENTS.md instruction guide for the Emisar repository and its projects.

In plain words
What is it for?
Use it when beginning work, recovering context, or checking the repository’s general development rules.
Why use it?
It explains how work is organised, where startup guidance lives, and which commands and working-state files agents should use.

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/andrewdryga/emisar/agents-md
Clone the repo
git clone --depth 1 https://github.com/AndrewDryga/emisar

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 emisar AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/andrewdryga/emisar/agents-md.svg)](https://agentmods.dev/instructions/andrewdryga/emisar/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/andrewdryga/emisar/agents-md"><img src="https://agentmods.dev/badge/instructions/andrewdryga/emisar/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 10,199 This file is loaded in full into every session.
When invoked 10,199 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.10199 $0.10199
Opus 5 $0.05099 $0.05099
Sonnet 5 $0.02040 $0.02040
Haiku 4.5 $0.01020 $0.01020

Measured 3d ago against content hash d0686084d047, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

emisar AGENTS.md scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- **Packs:** [HTTP API actions fail on response errors](.agent/kb/rules/packs-http-actions-fail-on-response-errors.md) — every curl-backed API action uses `-f`/`--fail` or explicitly accepts and reports arbitrary status;
AGENTS.md · 239 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. 3d ago First seen · 239 lines · 10,199 tokens per session scan A d0686084d047

Subscribe to this mod's changes

emisar AGENTS.md is an instructions file published in the GitHub repository AndrewDryga/emisar (356 stars, last pushed 4d ago), with no licence file. It adds 10,199 tokens to every session, about $0.0510 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.