brand-gen-setup

brand-gen-setup is a skill for Claude Code, Codex from velinussage/brand-gen. It costs 89 tokens per session (2,359 once invoked), scanned A, original, MIT.

An installation and setup guide for brand-gen, including its Python environment, configuration, browser tools, and connections to agent hosts such as Pi or OpenClaw.

In plain words
What is it for?
Use it to clone and install brand-gen, configure its API access, install required tools, validate the setup, and register it with an agent host.
Why use it?
It explains the prerequisites and wiring needed before brand-gen can be used reliably.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python3 scripts/validate_setup.py.

Good fit Use it to clone and install brand-gen, configure its API access, install required tools, validate the setup, and register it with an agent host.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/velinussage/brand-gen
agentmods
npx agentmods add skills/velinussage/brand-gen/brand-gen-setup

Made for: Claude Code, Codex.

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README.md
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Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,359 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 $0.00089 $0.02359
Opus 5.5 $0.00036 $0.00944
Sonnet 5.5 $0.00018 $0.00472
Haiku 4.5 $0.00009 $0.00236

Measured 2mo ago against content hash 6f7353979a55, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

brand-gen-setup 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 2mo 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.

skills/brand-gen-setup/SKILL.md · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Brand Gen Setup

Pi / Sage full-pipeline prompt

For Sage brand work in Pi, use the paste-ready prompt at docs/prompts/pi-sage-brand-gen-full-pipeline.md. It routes Pi through the typed brand_* tools, the brand-orchestrator subagent, exact-text gates, v2/DSPy review, GEPA-ready disagreement fields, and typed mutation loops. Keep this link instead of copying the full prompt into skill bodies.

This skill covers installation, validation, and host wiring.

After setup is complete, load:

  • skills/brand-gen/SKILL.md — main workflow
  • skills/brand-gen-reference/SKILL.md — models, surfaces, file layout
  • skills/brand-gen-logo/SKILL.md — logo workflows
  • skills/brand-content-ideation/SKILL.md — messaging/copy ideation

New saved brands and testing sessions also get a generated Pi runtime prompt at <brand-dir>/prompts/pi-full-pipeline.md. Use that brand-scoped prompt for non-Sage brands instead of the Sage-specific prompt under docs/prompts/.

Prerequisites

Step 1 — clone and install

git clone <your-fork-or-repo-url>
cd brand-gen
python3 -m venv .venv
source .venv/bin/activate
python3 -m pip install -e .
bgen --help

If bgen is not found, activate the venv first.

Step 2 — configure environment

cp .env.example .env

Set REPLICATE_API_TOKEN in .env.

Important notes:

  • repo-local .env is the preferred config source
  • a legacy host-specific fallback may still be read for compatibility
  • set BRAND_GEN_DIR if you want durable state outside the repo checkout

Local config

Create .brand-gen-local.json at the repo root. The agent should do this automatically:

  1. Detect repo_root from the current working directory (pwd).
  2. Ask the user: "Do you have an Obsidian vault or brand docs folder you want to connect? If so, what's the path and which brand should use it?" If yes, prefer a brand-specific map (brand_vault_paths / brand_knowledge_base_paths). Use global vault_paths only for a single-brand checkout.
  3. Write the file:
{
  "repo_root": "<detected path>",
  "vault_paths": [],
  "brand_vault_paths": {
    "<brand-key>": ["<user-provided Obsidian vault path if any>"]
  },
  "brand_knowledge_base_paths": {
    "<brand-key>": ["<user-provided docs path if any>"]
  }
}

Read the full file on GitHub · 277 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. 2mo ago First seen · 277 lines · 89 tokens per session scan A 6f7353979a55

Subscribe to this mod's changes

brand-gen-setup is a skill published in the GitHub repository velinussage/brand-gen (0 stars, last pushed 5mo ago), licensed MIT. It adds 89 tokens to every session and 2,359 once invoked, about $0.0004 per session on Opus 5.5. 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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