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-122git 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-122)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-122"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-122/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-122"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-122.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 | $0.00023 | $0.00875 |
| Opus 5 | $0.00012 | $0.00438 |
| Sonnet 5 | $0.00005 | $0.00175 |
| Haiku 4.5 | $0.00002 | $0.00088 |
Grade A, and why
skill-122 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 — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requirements for Outputs
General Guidelines
Visualizations
- All visualizations MUST be compatible with JAX data structures.
- Ensure visual clarity and appropriateness for data types.
- Provide detailed error messages for invalid configurations.
JAX Data Visualization
1. Basic Line Plot
line_plot(x, y, title='Line Plot', xlabel='X-axis', ylabel='Y-axis')
Description: Generate a basic line plot of y against x.
Parameters:
x(array): Data for the x-axis.y(array): Data for the y-axis.title(str, optional): Title of the plot.xlabel(str, optional): Label for the x-axis.ylabel(str, optional): Label for the y-axis.
Returns: Visualization displayed using JAX-compatible plotting library.
import jax.numpy as jnp
import jax_data_visualization as jx
import matplotlib.pyplot as plt
x = jnp.array([0, 1, 2, 3, 4])
y = jnp.array([0, 1, 4, 9, 16])
jx.line_plot(x, y, title='Quadratic Growth')
2. Scatter Plot
scatter_plot(x, y, title='Scatter Plot')
Description: Generate a scatter plot of data points.
Parameters:
x(array): Data for the x-axis.y(array): Data for the y-axis.title(str, optional): Title of the plot.
Returns: Visualization displayed using JAX-compatible plotting library.
def scatter_plot(x, y, title='Scatter Plot'):
plt.scatter(x, y)
plt.title(title)
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.show()
scatter_plot(x, y)
3. Histogram Plot
histogram_plot(data, bins=10)
Description: Generate a histogram of the data.
Parameters:
data(array): Data for histogram.bins(int, optional): Number of bins in the histogram.
Returns: Visualization displayed using JAX-compatible plotting library.
def histogram_plot(data, bins=10):
plt.hist(data, bins=bins)
plt.title('Histogram')
plt.xlabel('Value')
plt.ylabel('Frequency')
plt.show()
histogram_plot(jnp.array([1, 2, 2, 3, 4, 4, 4, 5]))
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 · 125 lines · 23 tokens per session scan A 8785a88718e4
skill-122 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 23 tokens to every session and 875 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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