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-076git 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-076)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-076"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-076/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-076"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-076.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 | $0.00025 | $0.00381 |
| Opus 5 | $0.00013 | $0.00191 |
| Sonnet 5 | $0.00005 | $0.00076 |
| Haiku 4.5 | $0.00003 | $0.00038 |
Grade A, and why
skill-076 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.
What it actually says
Requirements for Outputs
General Reporting Standards
Report Structure
- Each report must have a clear and consistent structure including a cover page, table of contents, and clearly defined sections.
Data Visualization Standards
- Use appropriate charts (bar, line, pie) depending on the data being represented.
- Ensure that all visuals have titles and legends where applicable.
Report Generation Techniques
Automated Chart Creation
- Use libraries to automatically generate charts based on input data.
- Example code snippet:
import pandas as pd
import matplotlib.pyplot as plt
def generate_chart(data):
plt.bar(data['categories'], data['values'])
plt.title('Sample Chart')
plt.savefig('chart.png')
Formatting Reports
- Apply consistent formatting styles to fonts, colors, and layouts across all pages.
- Example code snippet:
def format_report(sheet):
sheet['A1'].font = Font(bold=True, size=14)
sheet['A1'].fill = PatternFill(start_color='FFFF00', end_color='FFFF00', fill_type='solid')
Exporting Reports
- Ensure reports are saved in multiple formats (e.g., .xlsx, .pdf) for ease of sharing.
- Example code snippet:
from openpyxl import Workbook
wb = Workbook()
wb.save('report.xlsx')
Documentation Requirements
Report Metadata
- Each report must include a header with the report title, author, and date of generation.
- Example: "Generated by [Author Name] on [Date]".
Version Control
- Maintain version control to track changes made during report iterations.
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 · 59 lines · 25 tokens per session scan A 731266dd4837
skill-076 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 381 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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