chatgpt-image

chatgpt-image is a skill for Claude Code, Codex from ManiacMike/chatgpt-endless-canvas. It costs 97 tokens per session (1,861 once invoked), scanned B, original, MIT.

A skill for fetching web pages directly with Scrapling, a web-fetching library that can handle some bot-protected sites. It supports different fetching modes and can return Markdown or HTML.

In plain words
What is it for?
Use it when asked to fetch, curl, or scrape a URL, especially from a site that blocks automated access. Pass a URL and optionally choose basic, stealth, or max-stealth mode and an output format.
Why use it?
It provides an alternative when ordinary requests or browser fetching are blocked by anti-automation measures. The setup instructions also explain how to install the required package and browser files.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it when asked to fetch, curl, or scrape a URL, especially from a site that blocks automated access. Pass a URL and optionally choose basic, stealth, or max-stealth mode and an output format.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/maniacmike/chatgpt-endless-canvas/chatgpt-image
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.

Any agent
npx skills add ManiacMike/chatgpt-endless-canvas --skill chatgpt-image
Clone the repo
git clone --depth 1 https://github.com/ManiacMike/chatgpt-endless-canvas

Made for: Claude Code, Codex.

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 chatgpt-image

README.md
[![agentmods](https://agentmods.dev/badge/skills/maniacmike/chatgpt-endless-canvas/chatgpt-image/github.svg)](https://agentmods.dev/skills/maniacmike/chatgpt-endless-canvas/chatgpt-image)
Your own site
<a href="https://agentmods.dev/skills/maniacmike/chatgpt-endless-canvas/chatgpt-image"><img src="https://agentmods.dev/badge/skills/maniacmike/chatgpt-endless-canvas/chatgpt-image/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for chatgpt-image

Your own site · 80×15
<a href="https://agentmods.dev/skills/maniacmike/chatgpt-endless-canvas/chatgpt-image"><img src="https://agentmods.dev/badge/skills/maniacmike/chatgpt-endless-canvas/chatgpt-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,861 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00097 $0.01861
Opus 5 $0.00048 $0.00931
Sonnet 5 $0.00019 $0.00372
Haiku 4.5 $0.00010 $0.00186

Measured 11d ago against content hash adf33a2e64f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

chatgpt-image scanned grade B with 2 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.

Sends data to an external URLmediumData exfiltration

A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.

bytes (`curl --data-binary @file.png`), then generate with the returned

Makes network callslowCapability

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

curl -s --max-time 2 http://127.0.0.1:9222/json/version
skills/chatgpt-image/SKILL.md · 142 lines

How it starts

The opening of the file, as written. The whole thing — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.

ChatGPT image generation (board-first)

Project home: ${CHATGPT_IMAGE_GEN_HOME:-~/Workspace/chatgpt-endless-canvas} (referred to as $PROJ below — resolve it once per session). Data root: ~/Documents/chatgpt-endless-image-gen/.

Bootstrap (skill install ≠ project install). This file only teaches the workflow; the project code + venv must exist at $PROJ. Check once per session, and set it up if missing:

[ -f "$PROJ/board_server.py" ] || {
  git clone https://github.com/ManiacMike/chatgpt-endless-canvas.git "$PROJ" &&
  python3 -m venv "$PROJ/.venv" &&
  "$PROJ/.venv/bin/pip" install -r "$PROJ/requirements.txt"
}

Core rule: submit ALL generation requests through the board server API (POST /api/generate) instead of invoking the Python script directly — the server serializes jobs, spaces batches with random pauses (rate-limit protection), streams results onto the canvas, and records lineage. Call the script directly only as a fallback when the server cannot run, or for --grab-only recovery.

Standard flow (every request)

  1. Debug Chrome ready?

    curl -s --max-time 2 http://127.0.0.1:9222/json/version
    

    On failure → ask the user to run bash $PROJ/launch-chrome-debug.sh, log into chatgpt.com in the opened window, and keep it open. Do NOT run it for them in the background — the window needs to stay interactive.

  2. Board server running? Use the idempotent launcher (safe from any session; already-running → no-op; starts detached via nohup so it outlives this session):

    bash $PROJ/start.sh
    

    It prints the ACTUAL url (board started: http://127.0.0.1:<port>) — the port may NOT be 8090: ports occupied by other programs (including stale pre-rename copies of this project) are skipped automatically. Use the printed url as $BOARD for ALL API calls below, and open $BOARD if the user doesn't have the board open. To re-discover it later, GET /api/health must return "app": "chatgpt-endless-canvas" (also in ~/Documents/chatgpt-endless-image-gen/server.json alongside pid/port) — a port that answers /api/state but not /api/health is NOT this server. Do NOT run board_server.py with run_in_background — that ties the server to this session. Log: ~/Documents/chatgpt-endless-image-gen/board.log. Unfinished jobs survive a server restart (persisted + requeued), so if the environment kills the detached process, just rerun start.sh.

Read the full file on GitHub · 142 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 · 142 lines · 97 tokens per session scan B adf33a2e64f2

Subscribe to this mod's changes

chatgpt-image is a skill published in the GitHub repository ManiacMike/chatgpt-endless-canvas (115 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 1,861 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

debug-optimize-lcp

Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…

ChromeDevTools/chrome-devtools-mcp · 99 tokens

opencli-sitemap-author

Use when creating or maintaining OpenCLI site sitemaps: agent-facing navigation, page-state, action, workflow, API-reference, pitfall, and fallback knowledge for a website. Use after browser exploration discovers durable site context, when a sitemap is stale, or when promoting local site knowledge into the repo.

jackwener/OpenCLI · 67 tokens

interactive-login

How to complete browser/interactive logins (aws / gh / glab / gcloud). The platform backgrounds the login poller so it survives the human's browser round-trip — and when that does NOT work.

yc-software/qm · 46 tokens

pinchtab-mcp

Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.

pinchtab/pinchtab · 52 tokens

azure-messaging-webpubsub-java

Build real-time web applications with Azure Web PubSub SDK for Java. Use when implementing WebSocket-based messaging, live updates, chat applications, or server-to-client push notifications.

microsoft/skills · 43 tokens

google-safe-browsing

Prevent and fix Google Safe Browsing "Dangerous site" flags. Use when launching a public web app, buying/picking a domain, building a login or signup page, or when any site shows a red "Dangerous site" / "Deceptive site" warning in Chrome, Brave, Safari, Firefox, or Edge. Triggers on "dangerous site", "deceptive…

davidondrej/skills · 105 tokens