bannerbear

bannerbear is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 110 tokens per session (3,733 once invoked), scanned A, a copy of 2-chat, MIT.

An API connection for Bannerbear, a service that creates branded images and videos from templates and changing data.

In plain words
What is it for?
It helps generate social media graphics, banners, and personalized media automatically.
Why use it?
It removes the need to create each banner or social graphic by hand when many versions are needed.

Skill for Claude CodeCodex

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

Good fit It helps generate social media graphics, banners, and personalized media automatically.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/withoneai/one-agent-plugin/bannerbear
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 withoneai/one-agent-plugin --skill bannerbear
Clone the repo
git clone --depth 1 https://github.com/withoneai/one-agent-plugin

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 bannerbear

README.md
[![agentmods](https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/bannerbear.svg)](https://agentmods.dev/skills/withoneai/one-agent-plugin/bannerbear)
Your own site
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/bannerbear"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/bannerbear.svg" alt="Measured on agentmods" height="20"></a>
Per session 110 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,733 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 81% copy Near-identical to another mod 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 $0.00110 $0.03733
Opus 5 $0.00055 $0.01867
Sonnet 5 $0.00022 $0.00747
Haiku 4.5 $0.00011 $0.00373

Measured 4d ago against content hash 7a3e1d890252, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

bannerbear 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.

Origin

This is a copy

81% identical to 2-chat — 250 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

platforms/one-bannerbear/skills/bannerbear/SKILL.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Bannerbear through One

Bannerbear is an image and video generation platform that provides APIs and automation tools for creating branded visuals from templates and dynamic data, allowing developers and marketing teams to generate social media graphics, banners, and personalized media at scale.

One exposes Bannerbear through four MCP tools. The table below carries real action ids from One's knowledge base, so for a common operation you can skip search and go straight to reading the action's parameters.

How to run an action

  1. Find the action in the table below, or call search_one_platform_actions with platform bannerbear if it is not listed.
  2. Call get_one_action_knowledge with the action id. Do this every time, including for actions in this table. The table gives you the id, not the parameters.
  3. Call execute_one_action with parameters copied from that knowledge.

Never guess a parameter name, a body field, or an enum value. The knowledge has the real schema, and a guessed field is either a 400 or a silent write of the wrong thing.

Before you start

Call list_one_integrations once and confirm Bannerbear is connected. If it is missing, the user has not connected it: say so and point them at https://app.withone.ai rather than reaching for raw HTTP.

Each connection carries an access field. If it reports {"policy": "methods", "methods": ["GET"]} the agent is read-only here, so plan a read-only answer instead of attempting a write that will be refused.

Before a write

Creates, updates, deletes and sends land on a real Bannerbear account and cannot be recalled. State the action and the specific target in one line before the first write in a task, and let the user stop you. Reads need no confirmation.

Actions

Templates

Action Method Path Action id
List Templates GET /v2/templates conn_mod_def::GMYj9BTkpvY::7v54yRISSGuFoL2HCfXKOQ
Retrieve a Template GET /v2/templates/{{uid}} conn_mod_def::GMYj87LzPRY::MkwMJ_n5ReCMZrYkqC73Bw
Create a Template POST /v2/templates conn_mod_def::GMYj9Jag7-U::45aI8dlOTbuWt81hd5jGcA
Delete a Template DELETE /v2/templates/{{uid}} conn_mod_def::GMYj85-Hj5k::h07_6EszSZ2mVpD8CssOSQ
Duplicate a Template POST /v2/templates conn_mod_def::GMYj9W-St_A::_DlbteO_TPm4bTKownVuLg
Import Templates POST /v2/templates/import conn_mod_def::GMYj9JGS7Ds::QUZxeZUiRNKJ8inSw0v8xA
Update a Template PATCH /v2/templates/{{uid}} conn_mod_def::GMYj9Kyc_tY::vcrwyc5BRamOGbHOwM7ryw

Read the full file on GitHub · 205 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 · 205 lines · 0 tokens per session scan A 7a3e1d890252

Subscribe to this mod's changes

bannerbear is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 18d ago), licensed MIT. It adds 110 tokens to every session and 3,733 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to 2-chat, differing in 250 lines, and is treated as a copy.