skill-062

skill-062 is a skill for Claude Code, Codex from legendtkl/agentic-skill-router. It costs 42 tokens per session (432 once invoked), scanned A, original, MIT.

A tool and workflow for combining multiple PDF files into one document in a chosen order.

In plain words
What is it for?
It helps collect PDFs, append them in sequence, and save the result as one file using Python.
Why use it?
It avoids managing or distributing many separate PDF files when a single combined document is more useful.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps collect PDFs, append them in sequence, and save the result as one file using Python.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/legendtkl/agentic-skill-router/skill-062
Install

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.

Any agent
npx skills add legendtkl/agentic-skill-router --skill skill-062
Clone the repo
git clone --depth 1 https://github.com/legendtkl/agentic-skill-router

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for skill-062

README.md
[![agentmods](https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-062/github.svg)](https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-062)
Your own site
<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-062"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-062/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.

agentmods 80×15 button for skill-062

Your own site · 80×15
<a href="https://agentmods.dev/skills/legendtkl/agentic-skill-router/skill-062"><img src="https://agentmods.dev/badge/skills/legendtkl/agentic-skill-router/skill-062.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 432 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.00432
Opus 5 $0.00021 $0.00216
Sonnet 5 $0.00008 $0.00086
Haiku 4.5 $0.00004 $0.00043

Measured 6d ago against content hash a9cb0766e53c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

skill-062 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 6d 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.

experiments/dci-compare/skillrouter-skills/skill-062/SKILL.md · 55 lines

What it actually says

PDF Merger

Overview

The PDF Merger skill allows users to combine multiple PDF files into one document. This is particularly useful for organizations that need to consolidate reports, presentations, or any other type of documentation into a single file for distribution.

Workflow Decision Tree

Merging PDFs

Use the "Combining multiple PDF files" workflow below.

Combining Multiple PDF Files

To merge PDF files, you can use the PyPDF2 library, which provides an easy-to-use interface for handling PDF files in Python.

Prerequisites

Ensure you have the PyPDF2 library installed. If it’s not installed, you can add it using pip:

pip install PyPDF2

Merging Process

Here is a step-by-step process for merging PDF files:

  1. Gather PDF Files: Collect all the PDF files you wish to merge.
  2. Create a merger object: Use the PdfMerger class to start the merging process.
  3. Append PDFs: Loop through each PDF file and append it to your merger object.
  4. Write out the merged PDF: Specify the output file name and save the merged PDF.

Sample Code

Here is a simple example:

from PyPDF2 import PdfMerger

# Initialize the PdfMerger
merger = PdfMerger()

# List of PDF files to merge
pdf_files = ['file1.pdf', 'file2.pdf', 'file3.pdf']

# Append each PDF file
for pdf in pdf_files:
    merger.append(pdf)

# Write out the merged PDF
merger.write('merged_output.pdf')
merger.close()

Conclusion

This PDF Merger skill simplifies the process of combining multiple PDF documents, providing an efficient solution for users needing to consolidate their files.

Changes

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.

  1. 6d ago First seen · 55 lines · 42 tokens per session scan A a9cb0766e53c

Subscribe to this mod's changes

skill-062 is a skill published in the GitHub repository legendtkl/agentic-skill-router (5 stars, last pushed 3mo ago), licensed MIT. It adds 42 tokens to every session and 432 once invoked, about $0.0002 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.

Related

Other skills, from other repositories