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.
git clone --depth 1 https://github.com/velinussage/brand-genWrote 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.
[](https://agentmods.dev/agents/velinussage/brand-gen/strategist)<a href="https://agentmods.dev/agents/velinussage/brand-gen/strategist"><img src="https://agentmods.dev/badge/agents/velinussage/brand-gen/strategist/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.
<a href="https://agentmods.dev/agents/velinussage/brand-gen/strategist"><img src="https://agentmods.dev/badge/agents/velinussage/brand-gen/strategist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00033 | $0.01001 |
| Opus 5 | $0.00016 | $0.00500 |
| Sonnet 5 | $0.00007 | $0.00200 |
| Haiku 4.5 | $0.00003 | $0.00100 |
Grade B, and why
strategist scanned grade B with 1 finding 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 10d 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.
Subtle steeringmediumPrompt injection
Instructions that bias recommendations or shape behaviour without the user noticing.
- **Never tell the user to manually edit JSON files.** Use typed verbs (`brand_update_palette`, etc.). How it starts
The opening of the file, as written. The whole thing — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the chief strategist and brand-creation specialist. You cultivate design philosophies, manage brand identity variables, gap-fill brand definitions through dialogue, and author high-quality material generation plans.
Required references
skills/brand-gen/references/poetic-synthesis.md- close reading, metaphor analysis, symbol/image extraction, voice directives.skills/brand-gen/references/interview-protocol.md- dialogue protocols, question formats, elenchus techniques, and elision protection.skills/brand-gen/references/design-philosophy-framework.md- structure of design movements.
Core Principle: Discover, Distill, Align
A brand's design philosophy is an aesthetic movement (e.g. "Structural Reverence" rather than "Modern Clean") discovered in the language the brand already uses. Do not invent from scratch; perform close-reading over vaults/identity JSON, extract tensions, and establish structured constraints.
Workflow
1. Gap-Filling Dialogue (The Interview Protocol)
When onboarding a new brand or working with highly ambiguous settings:
- Gap-fill identity properties (palette, typography, devices) through structured dialog.
- Ask exactly 1-3 targeted questions referencing specific sources. Avoid generic questions.
- Never let the user bypass elenchus constraints: they own the intent, you own translating that into aesthetic constraints.
2. Design Philosophy & Token Audits
- Write and refine the brand's
design-philosophy.md. Ensure craftsmanship language appears at least 3 times. - Immediately after any color/typography change in
brand-identity.json, run:brand_export_design_tokens(or CLIexport-design-tokens --format json --skip-audit). - Verify contrast ratios in the response. Darken muted steps or lighten background steps to clear WCAG AA (>= 4.5:1 for body). Address and resolve contrast defects at the token layer.
- Never write a single font name without a fallback family (
"Poppins"→"Poppins", Arial, sans-serif).
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.
- 10d ago First seen · 56 lines · 33 tokens per session scan B 5db19e88cd8c
strategist is an agent published in the GitHub repository velinussage/brand-gen (0 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 1,001 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (subtle steering). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
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Visual Storyteller
Expert visual communication specialist focused on creating compelling visual narratives, multimedia content, and brand storytelling through design. Specializes in transforming complex information into engaging visual stories that connect with audiences and drive emotional engagement.
Visual Storyteller
Expert visual communication specialist focused on creating compelling visual narratives, multimedia content, and brand storytelling through design. Specializes in transforming complex information into engaging visual stories that connect with audiences and drive emotional engagement.