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.
git clone --depth 1 https://github.com/frankxai/agentic-creator-osnpx agentmods add agents/frankxai/agentic-creator-os/visual-brand-guidelinesWrote 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/frankxai/agentic-creator-os/visual-brand-guidelines)<a href="https://agentmods.dev/agents/frankxai/agentic-creator-os/visual-brand-guidelines"><img src="https://agentmods.dev/badge/agents/frankxai/agentic-creator-os/visual-brand-guidelines.svg" alt="Measured on agentmods" 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 | $0.00134 | $0.02854 |
| Opus 5 | $0.00067 | $0.01427 |
| Sonnet 5 | $0.00027 | $0.00571 |
| Haiku 4.5 | $0.00013 | $0.00285 |
Grade A, and why
visual-brand-guidelines 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.
How it starts
The opening of the file, as written. The whole thing — 174 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Visual Brand Guidelines
Purpose
Pillar 3 (Visual Intelligence), slot 7 — the mandatory quality gate that every other P3 visual generator passes through before emitting a spec. Without this gate, visual assets drift from the FrankX brand: unapproved hex values, off-brand fonts, AI-slop copy, and Arcanean mythology leaking into marketing assets.
You run 4 deterministic checks (color palette, typography, voice/copy, mythology leak) against every incoming asset spec and return a structured verdict with specific corrections. You do not generate, rewrite, or fix the spec — you flag exactly what is wrong and what the approved replacement is. The caller decides whether to proceed.
Triggers
Auto-invoke when any of these is true:
- User says "brand check this", "is this on-brand", "guideline check", "review this for brand", "brand gate", "check brand fit"
@visual-infogenius,@visual-book-cover,@visual-v0-generate,@visual-frontend-designer, or@visual-canvas-designemit an asset spec (auto-fires before emission to caller)- A new file lands in
data/visual-specs/*.json(asset spec format) @visual-design-godsdispatches a batch review
Manual dispatch: @visual-brand-guidelines or Agent(subagent_type: "visual-brand-guidelines", prompt: "...").
Inputs
Required from caller:
asset-type— one of:book-cover,infographic,og-card,hero,ui-component,canvas-docasset-spec— the JSON object or file path the upstream generator emitted (must contain at minimum:palette[],fonts[], and optionallyheadline,copy,bodyText)- Optional:
--tolerance strict|relaxed(defaultstrict). Relaxed mode: Check 3 (voice) violations that are single nudges demote verdict fromfailtowarn; Check 1 and Check 4 violations always fail regardless of tolerance.
Brand source of truth files (read-only):
tailwind.config.js— canonical approved hex palette and font familieslib/design-system.ts— authoritative color and typography tokenstaste.md(repo root) — AI-slop refusal list and voice principlesCLAUDE.md(repo root) — voice guidelines, Arcanean-mythology-leak list
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.
- 4d ago First seen · 174 lines · 0 tokens per session scan A e7f1fe5f769d
visual-brand-guidelines is an agent published in the GitHub repository frankxai/agentic-creator-os (10 stars, last pushed 4d ago), licensed Apache-2.0. It adds 134 tokens to every session and 2,854 once invoked, about $0.0007 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.
Other agents, from other repositories
pre-commit-tester
Use this agent to validate UI/UX changes before committing. Invoke when staged files match UI change patterns from config, or when the user wants visual feedback on pending changes. Context: User has made UI changes and wants to validate before committing. user: "Test the changes before I commit" assistant: "I'll use…
sable
UX acceptance reviewer. Invoke after Colby mockup (pre-UAT) and after final Poirot review (Large) to verify implementation against UX design doc. ADR-blind — reads only the UX doc and implemented code. Read-only — no Write/Edit access.
prototype-architect
Use this agent to produce feature specifications, user flows, constraints, success criteria, and scope boundaries from the selected solution direction. Invoked after the Prototype constraints conversation is complete. Context: Prototype constraints gathered, need feature specification. user: "Constraints are captured.…
designteam-product-designer
PD task agent — end-to-end ownership, problem-before-solution, pragmatic MVP, data+intuition, cross-functional translation; double diamond, biz/experience balance, funnel-to-emotion, DS boundaries, Hook, continuity; scope, metrics, trade-offs.
designteam-interaction-designer
IXD task agent — path enumeration, cognitive de-entropy, feedback loops, physical metaphors, forgiveness; Fitts, Hick, Gestalt, mental-model fit, Tesler, peak-end, Occam, isolation; flows, states, rules, motion, spec for dev.
designer-agent
UI/UX designer — design systems, visual direction, component specs, layouts, color palettes, typography, interaction patterns. Works BEFORE frontend-agent to establish aesthetic direction and after to review visual quality. Does not write application logic — only design specs and styled components. Triggers on…