extract-doc

extract-doc is a skill for Claude Code, Codex from mikeprasad/aria-knowledge. It costs 158 tokens per session (2,296 once invoked), scanned A, original, no licence file.

A document-reading skill that pulls insights from one page or document in services such as Notion, Google Docs, or Confluence. It requires a connected document service.

In plain words
What is it for?
Use it to extract findings, decisions, or other useful information from a single connected document or page.
Why use it?
It helps turn a long document into structured insights without manually searching and summarising it. The needed document connection may not be available in every setup.

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/mikeprasad/aria-knowledge/extract-doc
Any agent
npx skills add mikeprasad/aria-knowledge --skill extract-doc
Clone the repo
git clone --depth 1 https://github.com/mikeprasad/aria-knowledge

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 extract-doc

README.md
[![agentmods](https://agentmods.dev/badge/skills/mikeprasad/aria-knowledge/extract-doc.svg)](https://agentmods.dev/skills/mikeprasad/aria-knowledge/extract-doc)
Your own site
<a href="https://agentmods.dev/skills/mikeprasad/aria-knowledge/extract-doc"><img src="https://agentmods.dev/badge/skills/mikeprasad/aria-knowledge/extract-doc.svg" alt="Measured on agentmods" height="20"></a>
Per session 158 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,296 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 $0.00158 $0.02296
Opus 5 $0.00079 $0.01148
Sonnet 5 $0.00032 $0.00459
Haiku 4.5 $0.00016 $0.00230

Measured 4d ago against content hash 7673b394ff00, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

extract-doc 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.

plugin-antigravity/skills/.archived/extract-doc/SKILL.md · 156 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

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 · 156 lines · 158 tokens per session scan A 7673b394ff00

Subscribe to this mod's changes

extract-doc is a skill published in the GitHub repository mikeprasad/aria-knowledge (16 stars, last pushed 8d ago), with no licence file. It adds 158 tokens to every session and 2,296 once invoked, about $0.0008 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

docx

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4)…

OpenCoworkAI/open-cowork · 77 tokens

pdf-reader

Extract text from PDF files. Use when reading, parsing, or analyzing PDFs.

alibaba/anolisa · 19 tokens

memstack-business-scope-of-work

Use this skill when the user says 'scope of work', 'SOW', 'define scope', 'project scope', 'write SOW', 'scope document', or is defining project boundaries, deliverables, and acceptance criteria for a formal engagement. Do NOT use for proposals, contracts, or invoicing.

cwinvestments/memstack · 70 tokens

mathodology-award-gates

Use when running Mathodology award-workflow phase gates, judge panels, structured handoffs, figure QA, or rendered-PDF QA in a contest run.

sweetcornna/mathodology · 40 tokens

document-processing

Use when the deliverable is a document's bytes or its literal content — text/tables out of PDFs, AcroForm fill and flatten, page merge/split, PDF/DOCX from templates, OCR of image-only scans. NOT schema-typed fields pulled from text (that is structured-extraction), NOT signature routing (e-signature) or spreadsheet…

ericrisco/rsc-harness · 84 tokens

investor-materials

Use when packaging or circulating the documents an investor reads outside the meeting — setting up or cleaning a data room, writing the one-pager or teaser that earns the first meeting, or drafting the recurring monthly investor update. NOT the slide narrative (that is pitch-deck), NOT the projection spreadsheet (that…

ericrisco/rsc-harness · 87 tokens