open-image-prompts AGENTS.md

open-image-prompts AGENTS.md is an instructions file for Codex, OpenCode from NanmiCoder/open-image-prompts. It costs 1,323 tokens per session, scanned A, original, MIT.

A project instruction file for an offline-first archive of visual AI prompts, with a read-only SQLite database and a React/Vite website. The repository contains the application and indexes, while the main dataset and image packs are downloaded separately.

In plain words
What is it for?
Use it when starting the archive, downloading its prompt dataset, running the API or website, or developing its visual prompt browsing features.
Why use it?
It explains the startup process, required tools, dataset location, and large image download so agents do not expect all data to be in Git or use the wrong local URL.

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/nanmicoder/open-image-prompts/agents-md
Clone the repo
git clone --depth 1 https://github.com/NanmiCoder/open-image-prompts

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 open-image-prompts AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/nanmicoder/open-image-prompts/agents-md.svg)](https://agentmods.dev/instructions/nanmicoder/open-image-prompts/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/nanmicoder/open-image-prompts/agents-md"><img src="https://agentmods.dev/badge/instructions/nanmicoder/open-image-prompts/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,323 This file is loaded in full into every session.
When invoked 1,323 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 $0.01323 $0.01323
Opus 5 $0.00661 $0.00661
Sonnet 5 $0.00265 $0.00265
Haiku 4.5 $0.00132 $0.00132

Measured 4d ago against content hash 424342b75abe, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

open-image-prompts 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 4d 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 · 136 lines

How it starts

The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Instructions for coding agents working in or starting up this repository.

What this repository is

An open, local-first visual prompt archive plus two installable Agent Skills. The application is a read-only SQLite API (Python, standard library only) behind a React/Vite frontend. Nothing here trains, labels, or writes prompt data.

Get it running

Prerequisites: Node.js 20.19+ or 22.12+, and Git. Python arrives via uv, which start.sh installs into .oip/tools/ if it is missing.

./start.sh          # macOS/Linux; Windows: start.bat

start.sh is the whole setup: it prepares Python, downloads the dataset, installs frontend packages, and starts the API and frontend together. Open the URL it prints, not a URL you assumed — see "Ports" below.

To skip the ~4 GB of image packs (the gallery then falls back to each record's original source URL):

OIP_FETCH_SKIP_IMAGES=1 ./start.sh

Step-by-step instead of the launcher:

uv sync --locked
npm run data:pull        # or data:pull:db to skip image packs
npm --prefix web ci
npm run dev

The dataset is not in Git

A clone gives you code, Skills, taxonomy, and small indexes — not the corpus. db/prompts.db.gz (~80 MB) and images/ (~4.2 GB across nine monthly packs) are downloaded from GitHub Releases by scripts/fetch_dataset.py, which verifies every asset's sha256 against data/dataset-manifest.json. Both paths are gitignored, and re-running the fetch is safe: verified assets are skipped.

Expect this layout after a full pull:

db/prompts.db.gz          # compressed archive from Releases
images/<tweet_id>/N.jpg   # extracted image packs
.oip/runtime/prompts.db   # expanded read-only SQLite, created on first start
.oip/packs/*.sha256       # extraction markers so unchanged packs are skipped

Search and retrieval work without the image packs. Only local image preview needs them.

Ports

Nothing binds a predictable port unconditionally, so never hardcode one.

Read the full file on GitHub · 136 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. 4d ago First seen · 136 lines · 1,323 tokens per session scan A 424342b75abe

Subscribe to this mod's changes

open-image-prompts AGENTS.md is an instructions file published in the GitHub repository NanmiCoder/open-image-prompts (232 stars, last pushed 4d ago), licensed MIT. It adds 1,323 tokens to every session, about $0.0066 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.

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