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-referencegit 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-reference)<a href="https://agentmods.dev/skills/velinussage/brand-gen/brand-gen-reference"><img src="https://agentmods.dev/badge/skills/velinussage/brand-gen/brand-gen-reference/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-reference"><img src="https://agentmods.dev/badge/skills/velinussage/brand-gen/brand-gen-reference.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 | $0.00588 |
| Opus 5 | $0.00063 | $0.00294 |
| Sonnet 5 | $0.00025 | $0.00118 |
| Haiku 4.5 | $0.00013 | $0.00059 |
Grade A, and why
brand-gen-reference 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 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.
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.
What it actually says
Brand Gen Reference
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.
Reference data for brand-gen — not workflow doctrine. Load individual reference files only when you need them.
Preferred CLI: bgen ... or python3 -m brand_gen ...
Reference files
references/models.md— model comparison, selection heuristics, and when NOT to override. Read when choosing a model or debugging generation quality.references/social-surfaces.md— X / LinkedIn / OG / podcast surface dimensions, composition notes, and copy/messaging rules. Read when picking dimensions for a platform.references/file-layout.md— where session, brand, manifest, blackboard, and scratchpad files live on disk. Read when locating artifacts.
Quick decision shortcuts
- Need a model or aspect-ratio choice? Read
references/models.md. - Model fails on an aspect ratio? Not all models support all ARs.
og-card(1.91:1) andx-card(2:1) require models that accept those ratios. Checkbgen typesfor the default model per type. If the default model fails, tryrecraft-v4(widest AR support) ornano-banana-2. - Need exact surface dimensions or feed context? Read
references/social-surfaces.md, or runbgen social-specsfor live data. - Need to find where artifacts land on disk? Read
references/file-layout.md, or runbgen show-session-summary --format json. - Need current reference analysis? Run
bgen show-reference-analysis --format json.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 38 lines · 127 tokens per session scan A 63df3638753a
brand-gen-reference 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 588 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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