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 Ertinox7711/SGRR-AGI-V2 --skill logo-generatorgit clone --depth 1 https://github.com/Ertinox7711/SGRR-AGI-V2Wrote 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/ertinox7711/sgrr-agi-v2/logo-generator)<a href="https://agentmods.dev/skills/ertinox7711/sgrr-agi-v2/logo-generator"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/logo-generator/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/ertinox7711/sgrr-agi-v2/logo-generator"><img src="https://agentmods.dev/badge/skills/ertinox7711/sgrr-agi-v2/logo-generator.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 | $0.00119 | $0.01744 |
| Opus 5.5 | $0.00048 | $0.00698 |
| Sonnet 5.5 | $0.00024 | $0.00349 |
| Haiku 4.5 | $0.00012 | $0.00174 |
Grade A, and why
logo-generator 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 1mo 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
100% identical to logo-generator — 0 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 — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Logo Generator
Generate professional SVG logos and high-end showcase presentations for products and brands.
Workflow
Phase 1: Information Gathering
Collect essential information from the user:
- Product/Brand Name (required)
- Industry/Category (e.g., AI, fintech, design tools)
- Core Concept (e.g., connection, flow, security, simplicity)
- Design Preferences:
- Style: minimal/complex, geometric/organic
- Color preference: monochrome/specific colors
- Mood: cold/warm, professional/friendly
Ask concise questions to gather this information. Don't overwhelm the user with too many questions at once.
Phase 2: Pattern Matching & SVG Generation
Based on the gathered information:
-
Generate at least 6 design variants based on
references/design_patterns.md- Match patterns to product characteristics
- Use different pattern types and combinations for diversity
- Include both single-pattern and mixed-pattern compositions
- Vary complexity levels (simple geometric to layered compositions)
- Each variant should feel distinctly different, not just parameter tweaks
- Explain the design rationale for each variant
-
Generate SVG code for each variant
- Use viewBox="0 0 100 100" for easy scaling
- Keep code clean and well-structured
- Use
currentColorfor flexible color control - Add subtle animations for web display (optional)
-
Create interactive showcase webpage
- Display all 6+ logo variants in a grid layout
- Use the template from
assets/showcase_template.html - Include hover effects and smooth transitions
- Add design rationale for each variant
- Allow easy comparison between variants
Phase 3: Iteration & Refinement
Allow user to provide feedback:
- Select favorite variants (narrow down from 6+ to 2-3)
- Adjust specific parameters (size, spacing, rotation)
- Combine elements from different variants
- Change colors or add gradients
- Modify animations or effects
- Generate additional variants exploring specific directions
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.
- 1mo ago First seen · 197 lines · 119 tokens per session scan A dc4dfeca98af
logo-generator is a skill published in the GitHub repository Ertinox7711/SGRR-AGI-V2 (1 stars, last pushed 1mo ago), licensed MIT. It adds 119 tokens to every session and 1,744 once invoked, about $0.0005 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to logo-generator, differing in 0 lines, and is treated as a copy.
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