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-106git 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-106)<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-106"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-106/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-106"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-106.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 | $0.00020 | $0.00385 |
| Opus 5 | $0.00010 | $0.00192 |
| Sonnet 5 | $0.00004 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
skill-106 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
Document Processing Utility Guide
Overview
This utility provides broad functionality for processing and managing documents across multiple formats. Users can extract, manipulate, and convert documents, catering to a wide variety of applications in data management and analysis. It supports documents in formats such as PDF, DOCX, XLSX, images, and more.
Key Features
- Extraction: Extract text and data from different document formats.
- Conversion: Convert between document types, such as DOCX to PDF or PDF to CSV.
- Manipulation: Merge, split, or rearrange document pages or sections.
- Validation: Check document integrity and format compliance.
Usage
Here’s a general example of how to use the utility to process documents:
from document_processor import DocumentProcessor
doc_processor = DocumentProcessor()
# Extract text from a PDF file
text = doc_processor.extract_text("example.pdf")
print(text)
# Convert DOCX to PDF
doc_processor.convert("input.docx", "output.pdf")
# Validate document format
is_valid = doc_processor.validate_format("data_file.xlsx")
print(f"Is valid: {is_valid}")
Supported Formats
The utility supports a range of document formats:
- Text Documents: PDF, DOCX, TXT
- Spreadsheets: XLSX, CSV
- Images: PNG, JPG
For each format, various processing functions can be applied, but it's important to note that specific functionality may vary by type.
Conclusion
This utility serves as a powerful tool to streamline document processing tasks across various applications. For more detailed instructions, please consult the extended manual located at docs/document_processing_utility.md.
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 · 47 lines · 20 tokens per session scan A 00000cad7eba
skill-106 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 20 tokens to every session and 385 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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