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 onfire7777/universal-ai-skills-library --skill brand-analyzergit clone --depth 1 https://github.com/onfire7777/universal-ai-skills-libraryWrote 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/onfire7777/universal-ai-skills-library/brand-analyzer)<a href="https://agentmods.dev/skills/onfire7777/universal-ai-skills-library/brand-analyzer"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/brand-analyzer/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/onfire7777/universal-ai-skills-library/brand-analyzer"><img src="https://agentmods.dev/badge/skills/onfire7777/universal-ai-skills-library/brand-analyzer.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 | $0.00048 | $0.02966 |
| Opus 5 | $0.00024 | $0.01483 |
| Sonnet 5 | $0.00010 | $0.00593 |
| Haiku 4.5 | $0.00005 | $0.00297 |
Grade A, and why
brand-analyzer 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 today.
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
98% identical to brand-analyzer — 2 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 — 434 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Brand Analyzer
Overview
This skill enables comprehensive brand analysis and guidelines creation. It analyzes brand requirements, identifies brand personality and positioning, and generates professional brand guidelines documents. The skill uses established brand frameworks including Jung's 12 archetypes and industry-standard brand identity principles.
When to Use This Skill
Use this skill when the user requests:
- Brand analysis or brand audit
- Creation of brand guidelines or brand standards
- Brand identity development or refinement
- Brand consistency evaluation
- Brand positioning and differentiation analysis
- Brand archetype identification
- Recommendations for brand improvements
- Documentation of existing brand elements
Core Workflow
Step 1: Determine Analysis Type
Identify what type of brand work is needed:
A. New Brand Development
- Starting from scratch or rebranding
- Requires comprehensive brand identity creation
- Output: Complete brand guidelines document
B. Existing Brand Analysis
- Analyzing current brand state
- Identifying inconsistencies and gaps
- Output: Brand analysis report with recommendations
C. Quick Brand Audit
- Fast assessment of brand health
- Checking for consistency issues
- Output: Quick audit checklist with scores
D. Brand Guidelines Creation
- Documenting existing brand elements
- Formalizing standards and rules
- Output: Professional brand guidelines
Step 2: Gather Brand Information
Collect relevant information based on analysis type. Use the questions from references/brand_analysis_framework.md as a guide.
Essential Information:
- Brand name and tagline
- Mission and vision statements
- Core values
- Target audience details
- Industry and competitive context
- Existing brand materials (if any)
Visual Identity Information:
- Logo and variations
- Color palette (with codes)
- Typography (font families)
- Imagery style preferences
- Design elements
Voice and Messaging:
- Brand personality traits
- Tone of voice
- Key messages
- Value proposition
- Language preferences
What ships with it
8 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.
- today First seen · 434 lines · 48 tokens per session scan A d473163082f0
brand-analyzer is a skill published in the GitHub repository onfire7777/universal-ai-skills-library (16 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 2,966 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 98% identical to brand-analyzer, differing in 2 lines, and is treated as a copy.
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