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-022git 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-022)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-022"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-022.svg" alt="Measured on agentmods" 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 | $0.00025 | $0.00572 |
| Opus 5 | $0.00013 | $0.00286 |
| Sonnet 5 | $0.00005 | $0.00114 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
skill-022 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 7d 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
D3.js Map Visualization Skill
This skill enables the creation of geographical visualizations using D3.js. It focuses on rendering maps and spatial relationships to effectively display data that has a geographical context, such as demographics, weather patterns, or resource distribution.
When to use
Activate this skill when the user needs assistance with:
- "Visualize geographical data on a map"
- "Create a choropleth map"
- "Show spatial data relationships"
- "Map data distributions across regions"
If the user requires non-geographical visualizations, don’t use this skill—opt for the D3.js Visualization Skill instead.
Inputs you should expect
- One or more local data files:
*.json,*.csvwith geographical coordinates or region data - Mapping requirements:
- Geographical boundaries (geoJSON topology)
- Data attributes to bind to regions (e.g., population, sales)
- Visualization preferences (color scales, legend)
- Output constraints:
- Specific mapping styles (e.g., interactive vs. static maps)
If details are missing, make reasonable defaults and document them in comments near the top of the output file.
Outputs you should produce
Prefer producing all of the following when feasible:
dist/map.html— standalone HTML that renders the map visualizationdist/map.svg— exported SVG representation of the map- (Optional)
dist/map.png— raster image output if specified
Always keep outputs in a predictable folder (default: dist/), unless the task specifies paths.
Mapping principles (non-negotiable)
To create effective map visualizations:
Geospatial accuracy
- Ensure that the geographical data used is accurate and up-to-date for reliable representations.
- Handle data projections appropriately to maintain shape integrity on the map.
User experience
- Provide interactive features such as zooming and panning to allow users to explore map details.
- Include tooltips for additional contextual information on hover or click.
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.
- 7d ago First seen · 80 lines · 25 tokens per session scan A fafc8df79b06
skill-022 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 25 tokens to every session and 572 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 2026-08-31.
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