Ade Python

TRUSTED · 92
Community indexed

Python library for Agentic Document Extraction (ADE).

Downloads0
Stars1.0K
Version1.0.0
Quality100/100 · Excellent
Trust92/100 · Production candidate
Audit95/100 · Safe to try

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Document processing

I need my agent to read PDFs, extract tables, and turn documents into structured data.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add landing-ai/ade-python

Maintenance

fresh

18d since push

Risk

Safe to try

No major risk signals from available metadata

GitHub quality

1.0K

100/100 quality · 92/100 trust

Coverage tags

ResearchDocument processingdocument-processingdocumentsextraction

Review notes

No major risk signals from available metadata

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
100

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Production candidate
92

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.

Audit

Safe to try
95

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v3

Agent install candidate

Shortlist for production use, then run a normal repository and dependency review.

PythonDocument ExtractionCodexClaude CodeCursor

Stars

1.0K GitHub stars

Repo activity

1.0K stars, 162 forks

Maintenance

18d since push

License

Apache-2.0

Install

npx skills add landing-ai/ade-python

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Docs

Usable metadata, review docs

Risk summary

Low metadata risk

  • No major trust warnings detected from available metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • 18d since push

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Document processing workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Read uploaded files
  • Extract structured fields

Suited agents

PythonDocument ExtractionCodexClaude CodeCursorOpenAgentSkill CLICLI

Trust and risk

Trust score
92/100
Risk level
Safe to try
Auto install
allow

Install command

npx skills add landing-ai/ade-python

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • No major trust warnings detected from available metadata

Agent safety v2

87/100 · Safe to install with normal review

Verifiedallow

Strong metadata, audit, install, and review signals. Suitable for agent shortlists after normal workspace review.

Allow agent install in a sandbox or low-risk workspace, then promote after one successful narrow task.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add landing-ai/ade-python

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Ade Python in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Ade%20Python%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/landing-ai-ade-python/install
Install command: npx skills add landing-ai/ade-python
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use Ade Python for this task. Review https://www.openagentskill.com/api/skills/landing-ai-ade-python/install, then install with: npx skills add landing-ai/ade-python

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

100/100

Document processing

Platforms

Python, Document Extraction, Claude Code

Audit report

Safe to try · 95/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit report

Agent decision cockpit

Primary pick for Document processing

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Document processing

Trust label

Production-ready

Install path

Command ready

Use when

  • Document processing workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 1,001 GitHub stars
  • recent repository activity
  • install command or GitHub repo available
  • 100/100 quality profile

Review first

  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Document processing task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Production candidate

Strong OpenAgentSkill Trust Score across adoption, recent maintenance, license clarity, documentation, dependency/runtime risk, install safety, permission surface, and install availability.

92
Trust score

GitHub adoption

PASS

1.0K GitHub stars

Stars/forks activity

INFO

1.0K stars, 162 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

18d since push

License clarity

PASS

Apache-2.0

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Meaningful GitHub adoption signal
  • Install command has no obvious high-risk pattern

Review before install

No major trust warnings detected from available metadata.

Recommended action

Shortlist for production use, then run a normal repository and dependency review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

100
GitHub stars
1.0K
Freshness
18d ago
Install ready
Yes
License
Apache-2.0

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Overview

Python library for Agentic Document Extraction (ADE).

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
document-extractionFULL

Technical Details

Version
1.0.0
License
Apache-2.0
Last Updated
6/16/2026
Published
6/16/2026

Frameworks & Tools

PythonDocument Extraction

Decision snapshot

Primary pick

100
Ready
Adopt
Stage

1,001 GitHub stars

Audit snapshot

Install review

Install and adoption review

95
Safe to try
Security
88/100
Maintenance
100/100
Install
92/100
Open full audit

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Growth loop

Share kit

X

Scenario-led draft for Ade Python, ready for a manual X post.

OpenAgentSkill Update
OpenAgentSkill Update
Today: Ade Python

Use it when you want your coding agent to carry more repo context and ship repetitive changes faster.

1.0K stars - document-processing
Link: https://www.openagentskill.com/skills/landing-ai-ade-python?ref=x
#AIAgents #OpenAgentSkill
Open X draft
Optional reply with install command
Link for Ade Python:
https://www.openagentskill.com/skills/landing-ai-ade-python?ref=x

Install: npx skills add landing-ai/ade-python

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
landing-ai
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to landing-ai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

README badge

Add this badge to your GitHub README to show the listing, trust score, and install handoff.

[![OpenAgentSkill](https://www.openagentskill.com/api/badge/landing-ai-ade-python)](https://www.openagentskill.com/skills/landing-ai-ade-python)

Author

L

landing-ai

@landing-ai

Platform Fit

Health Signals

GitHub stars
1.0K
Quality score
63/100
Last GitHub push
May 29, 2026
Framework hints
2
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Production candidate

92
  • GitHub adoption1.0K GitHub starsPASS
  • Stars/forks activity1.0K stars, 162 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance18d since pushPASS
  • License clarityApache-2.0PASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS