nano-pdf

nano-pdf is a skill for Claude Code, Codex from fufankeji/VibeCodingCourse_v1. It costs 17 tokens per session (239 once invoked), scanned A, original, no licence file.

A command-line tool for editing PDF files with natural-language instructions.

In plain words
What is it for?
Editing PDF documents from a terminal, including applying changes described in plain English.
Why use it?
It lets you describe PDF changes in ordinary language instead of using a graphical PDF editor or scripting each change.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/fufankeji/vibecodingcourse_v1/nano-pdf
Any agent
npx skills add fufankeji/VibeCodingCourse_v1 --skill nano-pdf
Clone the repo
git clone --depth 1 https://github.com/fufankeji/VibeCodingCourse_v1

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 nano-pdf

README.md
[![agentmods](https://agentmods.dev/badge/skills/fufankeji/vibecodingcourse_v1/nano-pdf.svg)](https://agentmods.dev/skills/fufankeji/vibecodingcourse_v1/nano-pdf)
Your own site
<a href="https://agentmods.dev/skills/fufankeji/vibecodingcourse_v1/nano-pdf"><img src="https://agentmods.dev/badge/skills/fufankeji/vibecodingcourse_v1/nano-pdf.svg" alt="Measured on agentmods" height="20"></a>
Per session 17 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 239 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00017 $0.00239
Opus 5 $0.00009 $0.00120
Sonnet 5 $0.00003 $0.00048
Haiku 4.5 $0.00002 $0.00024

Measured 4d ago against content hash 28c360b5b915, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

nano-pdf 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 4d 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.

Week2_Cursor_Deep_Dive/Lesson03_OpenClaw_Architecture_Digital_Employee/openclaw/skills/nano-pdf/SKILL.md · 39 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 4d ago First seen · 39 lines · 17 tokens per session scan A 28c360b5b915

Subscribe to this mod's changes

nano-pdf is a skill published in the GitHub repository fufankeji/VibeCodingCourse_v1 (121 stars, last pushed 5mo ago), with no licence file. It adds 17 tokens to every session and 239 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 2026-08-30.

Related

Other skills, from other repositories

ce-compound

Document a solved problem as a durable repo learning. Use when verified work produced non-obvious reasoning absent from its final code, tests, or existing docs; avoid routine fixes whose artifacts already explain the lesson.

EveryInc/compound-engineering-plugin · 45 tokens

pptx-import

会话里有上传的 .pptx,且用户要把这份幻灯片填进一节已建的课(先 createstage 建课,再 importpptx 把页面追加进这节课堂,保留原版排版;课堂标题以 createstage 为准,PPT 不接管)。随后逐页检查(有 renderscenepreview 就渲染看)并修 bad case,理解整课之后才写旁白/spotlight,最后 TTS。仅在用户要求时插入 quiz 或 interactive。不要重新规划整课。.

THU-MAIC/OpenMAIC · 125 tokens

learn-everything

Turn an uploaded PDF, paper, book chapter, document, URL, or user-provided topic into a structured, interactive learning course. Use when the user wants to learn, study, understand, master, review, or practice a subject chapter by chapter; asks for a tutorial or curriculum from source material; wants exercises…

XiaomiMiMo/MiMo-Code · 169 tokens

office-pptx

Use when the user asks to create, inspect, verify, polish, or deliver PowerPoint .pptx decks, Google Slides-targeted deck artifacts, strategy narratives, operating reviews, pitch decks, teaching decks, section slides, bullet slides, or source-to-PPTX transformations.

shiwenwen/hope-agent · 62 tokens

readme-critique

High-judgment whole-document review for shape, pedagogy, and design-rationale. Catches the catalog-vs-teaching, composition-vs-enumeration, running-domain-vs-ad-hoc failure modes that readme-verify's gates pass on. Runs between draft and verify.

getkyo/kyo · 65 tokens

read-book

When you want to read and extract structured notes from a book — PDF, EPUB, MOBI, markdown, .txt, pasted text, or URL to a public-domain work. Reads in chunks (by chapter when a TOC exists, by 50-page blocks otherwise), extracts per-chapter TL;DR + key concepts + quotes + action items + frameworks, and offers to…

coreyhaines31/makerskills · 192 tokens