brand-images-to-notion: Instructions file for Claude Code

CLAUDE.md

brand-images-to-notion CLAUDE.md is an instructions file for Claude Code from jacobwjs/brand-images-to-notion. It costs 1,177 tokens per session, scanned A, original, MIT.

Instructions for a coding agent working with an MCP server that generates brand-specific images and uploads them to Notion, a workspace for notes and shared content. They explain setup, prompting, and the image-upload process.

In plain words
What is it for?
They are for checking setup, reading brand guidance, creating an image prompt, generating an on-brand image, and uploading it to Notion.
Why use it?
They give the agent a repeatable process for handling the whole task and tell it how to guide a non-technical person.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions Codex.

This is jacobwjs/brand-images-to-notion's own configuration. It tells Claude Code how to work on brand-images-to-notion itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything brand-images-to-notion configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jacobwjs/brand-images-to-notion. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jacobwjs/brand-images-to-notion/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/jacobwjs/brand-images-to-notion

Made for: Claude Code.

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Per session 1,177 This file is loaded in full into every session.
When invoked 1,177 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. ✓ AI security review Sonnet 5 · 7 Sept 2026 📄 Read the review
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 5.1 $0.01177 $0.01177
Opus 5 $0.00589 $0.00589
Sonnet 5 $0.00235 $0.00235
Haiku 4.5 $0.00118 $0.00118

Measured 11d ago against content hash 5cef2e5fe67c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

brand-images-to-notion CLAUDE.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.

CLAUDE.md · 88 lines

How it starts

The opening of the file, as written. The whole thing — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — operating guide for this repo

This repo is an MCP server that lets you (Claude) generate on-brand images with OpenAI's gpt-image-2 and upload them into Notion. The human you're working with may not be technical — drive the whole flow for them and explain each step plainly.

You are the orchestrator. The MCP server gives you three tools: generate_brand_image, upload_image_to_notion, and check_setup. Everything else (reading the brand guide, writing the image prompt) is your job.


Part 1 — Setting up (do this once, when the user says "set up this repo")

Run these steps yourself, explaining as you go. Ask for secrets when you reach them.

  1. Confirm uv is installed (it launches the server with no manual pip step):

    • Check: command -v uv
    • If missing, install it: curl -LsSf https://astral.sh/uv/install.sh | sh (or brew install uv). Then confirm uv --version.
    • Fallback if the user can't/won't use uv: pip install mcp and change .mcp.json to "command": "python3", "args": ["server.py"].
  2. Create the .env: copy .env.example to .env. Then collect the secrets the user needs and write them into .env (never echo them back, never commit them):

    • OPENAI_API_KEY — for the recommended openai backend. From https://platform.openai.com/api-keys
    • NOTION_TOKEN — required for uploading. Walk them through: create an internal integration at https://www.notion.so/my-integrations, copy the secret (starts with ntn_), and share the target Notion page with it (page → ••• → Connections → add the integration). Uploads fail without this share.
    • The codex backend needs no key here — just codex login once in a terminal.
  3. Load the server: the committed .mcp.json registers it automatically, but Claude Code only reads MCP config and .env at startup. Tell the user to restart their Claude Code session / reopen this folder, approve the brand-images server when prompted, then come back.

Read the full file on GitHub · 88 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. 11d ago First seen · 88 lines · 1,177 tokens per session scan E 5cef2e5fe67c

Subscribe to this mod's changes

brand-images-to-notion CLAUDE.md is an instructions file published in the GitHub repository jacobwjs/brand-images-to-notion (0 stars, last pushed 2mo ago), licensed MIT. It adds 1,177 tokens to every session, about $0.0059 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 2026-08-31.

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