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 legendtkl/agentic-skill-router --skill skill-130git clone --depth 1 https://github.com/legendtkl/agentic-skill-routerWrote 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/legendtkl/agentic-skill-router/skill-130)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-130"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-130/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/legendtkl/agentic-skill-router/skill-130"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-130.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 | $0.00026 | $0.00533 |
| Opus 5 | $0.00013 | $0.00267 |
| Sonnet 5 | $0.00005 | $0.00107 |
| Haiku 4.5 | $0.00003 | $0.00053 |
Grade A, and why
skill-130 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 8d 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 — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data Visualization Toolkit Skill
This skill provides a broad framework for generating visual representations of data across multiple formats using different technologies, including D3.js. The aim is to assist users in creating visualizations in a flexible and adaptable manner.
When to use
Activate this skill when the user seeks assistance with:
- "Create any type of data visualization"
- "Generate charts and graphs from any data format"
- "Build visual reports without specific requirements"
This skill is suitable for users looking for a general solution for data visualization needs, without focusing on specific technologies or outputs.
Inputs you should expect
- One or more data files in any format (CSV, JSON, XML, etc.)
- A broad request for visualization including:
- Any type of chart or graph (bar, line, pie, etc.)
- General layout and formatting preferences
- Minimal output constraints, as this skill supports a wide array of visualization methods.
If details are missing, make reasonable defaults, but note that this skill lacks the specificity of focused visualization skills.
Outputs you could produce
The outputs from this skill can vary widely based on the user’s needs:
dist/visualization.html— potentially any type of HTML output with visualizationsdist/visualization.svg— SVG output for graphical representations- (Optional)
dist/visualization.png— raster image outputs if specified
Outputs will be stored in the dist/ directory by default, but this can change based on user requests.
Visualization principles (advisory)
When creating general visualizations, consider the following principles:
Design considerations
- Ensure clear labeling of axes and legends for interpretability.
- Choose color schemes that are visually accessible and appropriate for the data.
Data handling
- Support for a variety of data formats and data cleaning steps should be included.
Example Usage
<!DOCTYPE html>
<html>
<head>
<title>Data Visualization Toolkit</title>
<script src="https://d3js.org/d3.v6.min.js"></script>
<script src="dist/toolkit.js"></script>
</head>
<body>
<h1>Data Visualization</h1>
<div id="visualization"></div>
</body>
</html>
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.
- 8d ago First seen · 76 lines · 26 tokens per session scan A 5c6b9a4ed40b
skill-130 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 26 tokens to every session and 533 once invoked, about $0.0001 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.
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