doc2qra

doc2qra is a skill for Claude Code from grahama1970/agent-skills. It costs 35 tokens per session (2,465 once invoked), scanned A, original, no licence file.

A document-processing tool that turns PDFs, web pages, or text into question-and-answer pairs with reasoning and a summary. It saves the results to memory for later recall.

In plain words
What is it for?
Use it to prepare questions from documents, create review material, and preserve key information for future conversations.
Why use it?
It helps you learn from or revisit source material without manually creating study questions or summaries.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Good fit Use it to prepare questions from documents, create review material, and preserve key information for future conversations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/grahama1970/agent-skills/doc2qra
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 grahama1970/agent-skills --skill doc2qra
Clone the repo
git clone --depth 1 https://github.com/grahama1970/agent-skills

Made for: Claude Code.

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 doc2qra

README.md
[![agentmods](https://agentmods.dev/badge/skills/grahama1970/agent-skills/doc2qra/github.svg)](https://agentmods.dev/skills/grahama1970/agent-skills/doc2qra)
Your own site
<a href="https://agentmods.dev/skills/grahama1970/agent-skills/doc2qra"><img src="https://agentmods.dev/badge/skills/grahama1970/agent-skills/doc2qra/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 doc2qra

Your own site · 80×15
<a href="https://agentmods.dev/skills/grahama1970/agent-skills/doc2qra"><img src="https://agentmods.dev/badge/skills/grahama1970/agent-skills/doc2qra.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,465 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 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 5.1 $0.00035 $0.02465
Opus 5.5 $0.00014 $0.00986
Sonnet 5.5 $0.00007 $0.00493
Haiku 4.5 $0.00003 $0.00247

Measured 1mo ago against content hash eab544e7affb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

doc2qra 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 1mo ago.

The scan reads SKILL.md. This mod also ships 24 executable files (__init__.py, __main__.py, cli.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/doc2qra/SKILL.md · 299 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. 1mo ago First seen · 299 lines · 35 tokens per session scan A eab544e7affb

Subscribe to this mod's changes

doc2qra is a skill published in the GitHub repository grahama1970/agent-skills (7 stars, last pushed 1mo ago), with no licence file. It adds 35 tokens to every session and 2,465 once invoked, about $0.0001 per session on Opus 5.5. 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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