Agent skill

Extract Document Data

by sickn33 in sickn33/agentic-awesome-skills

Extract structured, grounded fields from documents — values cite their page, missing values abstain instead of hallucinating.

Apache-2.0Auto-check passedDocuments & Office

Install Extract Document Data

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill extract-document-data -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills extract-document-data --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/extract-document-data .claude/skills/extract-document-data && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "extract-document-data" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/extract-document-data into .claude/skills/extract-document-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-document-data", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/extract-document-data

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill extract-document-data -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills extract-document-data --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/extract-document-data .agents/skills/extract-document-data && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "extract-document-data" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/extract-document-data into .agents/skills/extract-document-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-document-data", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill extract-document-data -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills extract-document-data --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/extract-document-data .cursor/skills/extract-document-data && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "extract-document-data" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/extract-document-data into .cursor/skills/extract-document-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-document-data", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/extract-document-data

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill extract-document-data -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills extract-document-data --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/extract-document-data .gemini/skills/extract-document-data && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "extract-document-data" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/extract-document-data into .gemini/skills/extract-document-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-document-data", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills extract-document-data

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill extract-document-data -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/extract-document-data .github/skills/extract-document-data && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "extract-document-data" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/extract-document-data into .github/skills/extract-document-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-document-data", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add sickn33/agentic-awesome-skills --skill extract-document-data -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install sickn33/agentic-awesome-skills extract-document-data --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/extract-document-data .opencode/skills/extract-document-data && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "extract-document-data" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/extract-document-data into .opencode/skills/extract-document-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "extract-document-data", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: extract-document-data
GitHub stars: 47k
Used in: 1 other repo
Token cost: ~1.1k tokens
SKILL.md length: 390 words
Files: 1
Skills in repo: 1,394
Repo updated: Oct 6, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Extract structured, grounded fields from documents — values cite their page, missing values abstain instead of hallucinating.

Works in 4 steps: Get the document. URL or local file path… → Choose the extraction mode → Interpret the response. → …
Parsing invoices
SKILL.md covers When to use, Instructions, Output format and Limitations and Safety, plus 1 more section
Needs STIPPLE_API_KEY

What it does

Extract Document Data is an agent skill from sickn33/agentic-awesome-skills. Extract structured, grounded fields from documents — values cite their page, missing values abstain instead of hallucinating. Use for parsing invoices, payslips, statements, contracts.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering Forms and invoices and Data cleaning. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is Apache-2.0.

When your agent uses it

Parsing invoices
Tasks that involve Forms and invoices
Tasks that involve Data cleaning

Example prompts

“/extract-document-data”

Requirements

A credential in STIPPLE_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Get the document. URL or local file path (PDF, PNG, JPEG, DOCX).
Choose the extraction mode
Interpret the response.
Report honestly. This is extraction, not verification — values are what the document shows, not proof it's genuine

What it can do on your machine

Read from SKILL.md and the folder at commit 1e53ce2. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- stipple.sh
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- STIPPLE_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Extract Document Data loads about 1.1k tokens when it runs. Until then it costs about 52 tokens; SKILL.md has 390 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~52
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from sickn33/agentic-awesome-skills at commit 1e53ce2, republished under its Apache-2.0 licence (© sickn33). 390 words, ~1,111 tokens.

Download SKILL.mdSave it as .claude/skills/extract-document-data/SKILL.md (or your agent's skills folder).

name: extract-document-data
description: Extract structured, grounded fields from documents — values cite their page, missing values abstain instead of hallucinating. Use for parsing invoices, payslips, statements, contracts.
category: document-verification
risk: critical
source: community
source_repo: Sketchjar/stipple-agent-skills
source_type: community
date_added: 2026-08-31
author: Sketchjar
tags: document-verification, fact-checking, stipple, authenticity
tools: claude, cursor, gemini, codex
license: Apache-2.0

Extract Document Data

Extract structured JSON from documents with per-value grounding: every extracted value cites where it came from (page number, confidence), and values that aren't clearly present are reported in not_found rather than hallucinated. Uses the Stipple API (free anonymous tier).

When to use

Parsing payslips, invoices, bank statements, receipts, or contracts
Converting unstructured documents to JSON for downstream systems
Any extraction where hallucinated values are worse than missing values (lending, accounting, compliance)

Instructions

Get the document. URL or local file path (PDF, PNG, JPEG, DOCX).
Choose the extraction mode:
- Ad-hoc fields — tell the API exactly which fields you want:
  bash
```
curl -X POST https://www.stipple.sh/v1/extract \
  -F "file=@payslip.pdf" \
  -F 'fields=[{"name":"employer_name"},{"name":"net_pay"},{"name":"pay_date"}]' \
  -H "Authorization: Bearer $STIPPLE_API_KEY"
```
- Template — use a built-in schema: payslip, tax_invoice, bank_statement, receipt, contract
- Schema-free — omit fields and let the model extract what it finds

Interpret the response.

json

{
  "mode": "schema_free",
  "document_type": "payslip",
  "pages_read": 1,
  "fields": {
    "employer_name": {"value": "Acme Cleaning Pty Ltd", "confidence": 0.95, "page": 1},
    "net_pay": {"value": "2845.10", "confidence": 0.97, "page": 1}
  },
  "not_found": ["ytd_tax"]
}

Every value carries confidence (the model's self-report) and page (grounding)
not_found[] lists requested fields the model couldn't find — absences are reported, never guessed
pages_read shows how many pages were processed (page limits apply per document)

Report honestly. This is extraction, not verification — values are what the document shows, not proof it's genuine:
- "Employer: Acme Cleaning Pty Ltd (confidence 0.95, page 1)"
- "ytd_tax: not found in document" — never "ytd_tax: 0" or a guess
- For "is this document genuine?", pair with the verify-document skill first

Show full SKILL.md (165 more words)Show less

Output format

Payslip fields (grounded, not guessed):

  Employer          Acme Cleaning Pty Ltd  (confidence 0.95, page 1)
  Employee          J. Citizen             (confidence 0.98, page 1)
  Net pay           2,845.10               (confidence 0.97, page 1)
  Superannuation    268.20                 (confidence 0.93, page 1)

not_found: ytd_tax
(absences are reported, never hallucinated)

Limitations and Safety

Invoices, statements, payslips, and contracts often contain sensitive personal, financial, or commercial data. Obtain explicit approval before uploading them to a hosted third party, minimize the submitted content, and confirm current retention, residency, access, and deletion terms.
Confidence and page grounding do not prove that an extracted value is correct or that the source document is authentic. Reconcile consequential values against the original document and authoritative systems before payment, lending, accounting, compliance, or legal action.
Keep the original file and extraction response so a human reviewer can reproduce and correct disputed fields.

Notes

Costs 1 credit per page read by the model (minimum 1); free weekly allowance applies
Templates: payslip, tax_invoice, bank_statement, receipt, contract — pass as the template form field
Tables are extracted with structure preserved; multi-page documents are processed page by page
Pairs with verify-document (run first, for authenticity) — an extracted value from a tampered document is still wrong
Free key at https://www.stipple.sh for metering beyond the anonymous allowance

Files

Just SKILL.md in skills/extract-document-data of sickn33/agentic-awesome-skills.

Open the folder on GitHubat commit 1e53ce2

Used in 1 other repository

We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.

lingxling/awesome-skills-cnantigravity-awesome-skills/skills/extract-document-data antigravity-awesome-skills/plugins/agentic-awesome-skills/skills/extract-document-data+1 more

Compare with similar skills

Extract Document Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Extract Document Data compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Extract Document Data this skillsickn33/agentic-awesome-skills	47k	1 repos	~1.1k	Automated safety check: Pass	Apache-2.0	yesterday
Paginated Reportdata-goblin/power-bi-agentic-development	1k	—	~3.5k	Automated safety check: Pass	GPL-3.0	2 days ago
Data Cleanupsgharlow/claude-code-recipes	388	—	~566	Automated safety check: Pass	Custom licence	2 mo ago
Browser Ops SkillOpenLoaf/OpenLoaf	107	—	~1.5k	Automated safety check: Pass	AGPL-3.0	4 mo ago
Sn Da Excel WorkflowMichaelYang-lyx/AIDABench	111	1 repos	~2.5k	Automated safety check: Pass	None	9 days ago
Numeric Format NormalizationMichaelYang-lyx/AIDABench	111	1 repos	~505	Automated safety check: Pass	None	9 days ago

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Questions about Extract Document Data

What does Extract Document Data do?

Extract structured, grounded fields from documents — values cite their page, missing values abstain instead of hallucinating. Extract Document Data is an agent skill from sickn33/agentic-awesome-skills. Extract structured, grounded fields from documents — values cite their page, missing values abstain instead of hallucinating.

When should I use Extract Document Data?

Extract Document Data fits situations like: parsing invoices; tasks that involve Forms and invoices; tasks that involve Data cleaning.

How do I install Extract Document Data in Claude Code?

Run `npx skills add sickn33/agentic-awesome-skills --skill extract-document-data -a claude-code`. Or copy the skill folder (skills/extract-document-data in sickn33/agentic-awesome-skills) into .claude/skills/extract-document-data in your project. Claude Code loads it when a task matches its description.

How do I install Extract Document Data in Codex?

Run `npx skills add sickn33/agentic-awesome-skills --skill extract-document-data -a codex`. Or copy the skill folder (skills/extract-document-data in sickn33/agentic-awesome-skills) into .agents/skills/extract-document-data in your project. Codex loads it when a task matches its description.

Can I use Extract Document Data in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill extract-document-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/extract-document-data, .gemini/skills/extract-document-data, .github/skills/extract-document-data and .opencode/skills/extract-document-data in your project.

What does Extract Document Data need to run?

Going by SKILL.md and its folder, Extract Document Data needs credentials named STIPPLE_API_KEY. Our summary lists: A credential in STIPPLE_API_KEY.

Does Extract Document Data access the network?

SKILL.md names 1 domain. As links in the text: stipple.sh. This is read from the text; nothing was executed.

Is Extract Document Data safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Extract Document Data use?

Extract Document Data is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Extract Document Data use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Extract Document Data?

Skills that share tags, products or a category with Extract Document Data: Paginated Report (data-goblin/power-bi-agentic-development, 1k stars), Data Cleanup (sgharlow/claude-code-recipes, 388 stars), Browser Ops Skill (OpenLoaf/OpenLoaf, 107 stars) and Sn Da Excel Workflow (MichaelYang-lyx/AIDABench, 111 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Extract Document Data?

sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,304 GitHub stars. The repository holds 1,394 skills in this directory. The repository was last updated on October 6, 2026.

Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Extract Document Data

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Extract Document Data

When to use

Instructions

Output format

Limitations and Safety

Notes

Files

Used in 1 other repository

Compare with similar skills

Similar skills

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Related

Questions about Extract Document Data