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.
npx skills add velinussage/brand-gen --skill brand-gen-logogit 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/skills/velinussage/brand-gen/brand-gen-logo)<a href="https://agentmods.dev/skills/velinussage/brand-gen/brand-gen-logo"><img src="https://agentmods.dev/badge/skills/velinussage/brand-gen/brand-gen-logo/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/skills/velinussage/brand-gen/brand-gen-logo"><img src="https://agentmods.dev/badge/skills/velinussage/brand-gen/brand-gen-logo.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 | $0.00127 | $0.01476 |
| Opus 5 | $0.00063 | $0.00738 |
| Sonnet 5 | $0.00025 | $0.00295 |
| Haiku 4.5 | $0.00013 | $0.00148 |
Grade A, and why
brand-gen-logo 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Gen Logo
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.
Use this instead of the main brand-gen skill when the artifact is primarily a logo, wordmark, or lockup. Logo work has different constraints than standard brand materials.
How logo work differs
- Fewer refs, more silhouette discipline — logos need clean shape language, not reference-heavy compositions
- Geometric prompt language — say "flat vertical rectangles" not "columns"
- Tighter review loops — stop after each batch so the user chooses what equity to preserve
- Fragment locking — prompt fragments that work can be locked for all future generations
- Vector-friendly models —
recraft-v4andrecraft-v4-svgare preferred over photo-realistic models
CLI and MCP tools
Logo has its own CLI and MCP server, separate from bgen:
- CLI:
bgen <command> [opts] - MCP tools:
logo_generate,logo_feedback,logo_show,logo_compare,logo_evolve,logo_bootstrap,logo_inspire
Core workflow
1. Bootstrap (first use only)
bgen bootstrap
MCP: logo_bootstrap() — scans existing logo files into the manifest.
2. Gather inspiration
bgen inspire symbol # browse logosystem.co by category
bgen inspire --url <url> # custom inspiration URL
bgen inspire symbol --list # list saved inspiration
MCP: logo_inspire(category="symbol") or logo_inspire(url="<url>")
Categories: symbol, wordmark, symbol-text, brown, beige, black, all.
3. Choose a mode
reference— preserve recognizable structure from existing markinspiration— net-new exploration, no structural constraintshybrid— preserve core equity while translating approved inspiration mechanics
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.
- 12d ago First seen · 156 lines · 127 tokens per session scan A ce59a168e797
brand-gen-logo is a skill published in the GitHub repository velinussage/brand-gen (0 stars, last pushed 3mo ago), licensed MIT. It adds 127 tokens to every session and 1,476 once invoked, about $0.0006 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 2026-08-31.
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