brandfetch

brandfetch is a skill for Claude Code, Codex from withoneai/one-agent-plugin. It costs 101 tokens per session (1,121 once invoked), scanned A, original, MIT.

A brand-data service that provides company logos, colors, fonts, and other brand information through an API. It can be accessed through One to read and update Brandfetch data.

In plain words
What is it for?
Use it to look up brand information and add current logos, colors, fonts, and related assets to profiles, presentations, or applications.
Why use it?
It saves developers and teams from collecting brand assets manually or keeping outdated copies in their own systems.

Skill for Claude CodeCodex

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

Good fit Use it to look up brand information and add current logos, colors, fonts, and related assets to profiles, presentations, or applications.

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Install with agentmods
npx agentmods add skills/withoneai/one-agent-plugin/brandfetch
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 brandfetch
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 brandfetch

README.md
[![agentmods](https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/brandfetch.svg)](https://agentmods.dev/skills/withoneai/one-agent-plugin/brandfetch)
Your own site
<a href="https://agentmods.dev/skills/withoneai/one-agent-plugin/brandfetch"><img src="https://agentmods.dev/badge/skills/withoneai/one-agent-plugin/brandfetch.svg" alt="Measured on agentmods" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,121 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 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 $0.00101 $0.01121
Opus 5 $0.00051 $0.00561
Sonnet 5 $0.00020 $0.00224
Haiku 4.5 $0.00010 $0.00112

Measured 4d ago against content hash 54bd50b38436, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

brandfetch 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.

platforms/one-brandfetch/skills/brandfetch/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brandfetch through One

Brandfetch is a brand asset platform and API that provides access to company logos, colors, fonts, and other brand data, allowing developers, marketers, and sales teams to automatically enrich profiles, presentations, and applications with up-to-date branding.

One exposes Brandfetch 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 brandfetch 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 Brandfetch 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 Brandfetch 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

Brands

Action Method Path Action id
Get Brand Data GET /v2/brands/{{identifier}} conn_mod_def::GK6_FsFA0ag::guoHarl-Sea3Qv-lX_PGpA
Get Brand Data by Crypto Symbol GET /v2/brands/crypto/{{symbol}} conn_mod_def::GK6_FvfN1KA::Q0QcQNf3QtO9tHO3QvEagg
Get Brand Data by Domain GET /v2/brands/domain/{{domain}} conn_mod_def::GK6_FsGsh-A::hK25-V0gQQSAEoL1lddslA
Get Brand Data by ISIN GET /v2/brands/isin/{{isin}} conn_mod_def::GK6_FrhGKKA::ap_GzJJSQM2aX8Mhe6rZNw
Get Brand Data by Ticker GET /v2/brands/ticker/{{ticker}} conn_mod_def::GK6_F5ni6xg::EldmOhiRQ3mKeg7NLmEznQ
Search Brands GET /v2/search/{{name}} conn_mod_def::GK6_GCMjFng::g_HwY1IpS4Ggn_1s4dA5wA
test connection GET v2/brands/domain/stripe.com conn_mod_def::GK6_rNg_JnA::9_XDY5nBSiSt5wmvTNCM4Q
Get Brand Data From a Transaction POST /v2/brands/transaction conn_mod_def::GK6_GCgB5hA::n4K4eOd5RvyBrhVghY94jQ

Read the full file on GitHub · 58 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 · 58 lines · 0 tokens per session scan A 54bd50b38436

Subscribe to this mod's changes

brandfetch is a skill published in the GitHub repository withoneai/one-agent-plugin (1 stars, last pushed 19d ago), licensed MIT. It adds 101 tokens to every session and 1,121 once invoked, about $0.0005 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 2026-09-03.

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