Borrowing it
Nothing to install: this file belongs to chengkj99/kj-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/chengkj99/kj-skills/main/.agents/skills/logo-generator/SKILL.mdgit clone --depth 1 https://github.com/chengkj99/kj-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/chengkj99/kj-skills/logo-generator)<a href="https://agentmods.dev/skills/chengkj99/kj-skills/logo-generator"><img src="https://agentmods.dev/badge/skills/chengkj99/kj-skills/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/chengkj99/kj-skills/logo-generator"><img src="https://agentmods.dev/badge/skills/chengkj99/kj-skills/logo-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 196 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- logo-generator — 100% identical, 0 lines differ
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 ships with it
10 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.
- .gitignore 133 B
- assets/background_library.html 29 KB
- assets/showcase_template.html 7.0 KB
- README.md 14 KB
- references/background_styles.md 9.2 KB
- references/design_patterns.md 28 KB
- references/webgl_backgrounds.md 4.7 KB
- requirements.txt 72 B
- scripts/generate_showcase.py 12 KB runs code
- scripts/svg_to_png.py 1.8 KB runs code
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 chengkj99/kj-skills (14 stars, last pushed 7d 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. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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