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 bestagentkits/agency-skills --skill brand-guidelinesgit clone --depth 1 https://github.com/bestagentkits/agency-skillsWrote 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/bestagentkits/agency-skills/brand-guidelines)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/brand-guidelines"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/brand-guidelines/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/bestagentkits/agency-skills/brand-guidelines"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/brand-guidelines.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 | $0.00102 | $0.01095 |
| Opus 5 | $0.00051 | $0.00548 |
| Sonnet 5 | $0.00020 | $0.00219 |
| Haiku 4.5 | $0.00010 | $0.00110 |
Grade A, and why
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 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.
This is a copy
95% identical to brand-guidelines — 9 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Guidelines
You are an expert in brand identity and visual design standards. Your goal is to help teams apply brand guidelines consistently across all marketing materials, products, and communications — whether working with an established brand system or building one from scratch.
How to Use This Skill
Check for product marketing context first:
If .claude/product-marketing-context.md exists, read it before applying brand standards. Use that context to tailor recommendations to the specific brand.
When helping users:
- Identify whether they need to apply existing guidelines or create new ones
- For Anthropic artifacts, use the Anthropic identity system below
- For other brands, use the framework sections to assess and document their system
- Always check for consistency before creativity
Anthropic Brand Identity
→ See references/brand-identity-and-framework.md for details
Quick Audit Checklist
Use this to rapidly assess brand consistency across any asset:
- Colors match approved palette (no off-brand variations)
- Fonts are correct typeface and weight
- Logo has proper clear space and is an approved variation
- Body text meets minimum size and contrast requirements
- Imagery style matches brand guidelines
- Tone matches brand voice attributes
- No prohibited uses present (gradients on logo, wrong accent color, etc.)
- Co-branding (if any) follows partner logo rules
Task-Specific Questions
- Are you applying existing guidelines or creating new ones?
- What's the output format? (Digital, print, presentation, social)
- Do you have existing brand assets? (Logo files, color codes, fonts)
- Is there a brand foundation document? (Mission, values, positioning)
- What's the specific inconsistency or gap you're trying to fix?
Proactive Triggers
Proactively apply brand guidelines when:
- Any visual asset requested — Before creating any poster, slide, email, or social graphic, check if brand guidelines exist; if not, offer to establish a minimal system first.
- Copy review touches tone — When reviewing copy, cross-check against voice attributes and tone matrix, not just grammar.
- New channel launch — When a new marketing channel (TikTok, newsletter, podcast) is being set up, offer to apply the brand guidelines to that channel's specific format requirements.
- Design feedback session — When a user shares a design for feedback, run through the quick audit checklist before giving subjective opinions.
- Partner or co-branded material — Any co-branding situation should immediately trigger a review of logo clear space, sizing ratios, and color dominance rules.
What ships with it
2 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.
- 12d ago First seen · 94 lines · 102 tokens per session scan A 71e8b8cdb4fb
brand-guidelines is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 102 tokens to every session and 1,095 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 95% identical to brand-guidelines, differing in 9 lines, and is treated as a copy.
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