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Skills/document-processing/JARVIS MARK5

JARVIS MARK5

REVIEW · 65
Community indexed

JARVIS - A ASSISTANT WHICH IS NEEDED FOR EVERYONE

Downloads0
Stars86
Version1.0.0
Quality58/100 · Promising
Trust65/100 · Sandbox only
Audit72/100 · Needs review

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 Likhithsai2580/JARVIS-MARK5

Maintenance

stable

10mo since push

Risk

Needs review

Quality score needs review

GitHub quality

86

58/100 quality · 73/100 trust

Coverage tags

ResearchDocument processingdocument-processingpdfdocuments

Review notes

Quality score needs review · GitHub adoption: 86 GitHub stars

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

Promising
58

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
65

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
72

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

Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

PythonPDFCodexClaude CodeCursor

Stars

86 GitHub stars

Repo activity

86 stars, 38 forks

Maintenance

10mo since push

License

MIT

Install

npx skills add Likhithsai2580/JARVIS-MARK5

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • Quality score needs review
  • GitHub adoption: 86 GitHub stars
  • Stars/forks activity: 86 stars, 38 forks; issue activity unavailable in current metadata

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

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
  • builders willing to evaluate younger projects
  • Read uploaded files

Suited agents

PythonPDFCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add Likhithsai2580/JARVIS-MARK5
Policy
review
Human review
yes

Trust and risk

Trust
65/100
Audit
72/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add Likhithsai2580/JARVIS-MARK5
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No OpenAgentSkill engagement data yet
  • Quality score needs review
  • GitHub adoption: 86 GitHub stars

Alternative

Markitdown

156.1K stars

npx skills add microsoft/markitdown

Alternative

PaddleOCR

83.1K stars

npx skills add PaddlePaddle/PaddleOCR

Alternative

Stirling PDF

81.2K stars

npx skills add Stirling-Tools/Stirling-PDF

Alternative

Tesseract

74.7K stars

npx skills add tesseract-ocr/tesseract

Agent safety v2

56/100 · Review before install

Experimentalreview

Sparse or mixed signals. Useful for discovery, but not for autonomous installation.

Test manually in an isolated workspace and compare against safer alternatives.

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.

  • Quality score needs review

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 Likhithsai2580/JARVIS-MARK5

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

Resolve JSON

/api/agent/resolve?task=Use%20JARVIS%20MARK5%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20JARVIS%20MARK5%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/likhithsai2580-jarvis-mark5/install

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 JARVIS MARK5 in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20JARVIS%20MARK5%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/likhithsai2580-jarvis-mark5/install
Install command: npx skills add Likhithsai2580/JARVIS-MARK5
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

Install handoff

/api/skills/likhithsai2580-jarvis-mark5/install

LLM text format

/api/skills/likhithsai2580-jarvis-mark5/install?format=text

Find alternatives

/api/skills/search?q=JARVIS%20MARK5&limit=3

Agent prompt

Use JARVIS MARK5 for this task. Review https://www.openagentskill.com/api/skills/likhithsai2580-jarvis-mark5/install, then install with: npx skills add Likhithsai2580/JARVIS-MARK5

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

Manifest

/api/registry/manifest/likhithsai2580-jarvis-mark5

LLM text

/api/registry/manifest/likhithsai2580-jarvis-mark5?format=text

Install alias

/api/registry/install/likhithsai2580-jarvis-mark5

Recommend

/api/registry/recommend?task=Use%20JARVIS%20MARK5%20in%20an%20agent%20workflow&limit=3

Agent fit

48/100

Document processing

Use-case tags

Document processingRAG and knowledgeCoding agents

Platforms

Python, PDF, Claude Code

Audit report

Needs review · 72/100

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

View audit reportView eval report

Agent decision cockpit

Needs validation for Document processing

Do a manual repository review before adding this to an agent workflow.

48
Readiness
Review
Stage

Role in stack

Needs validation

Primary fit

Document processing

Trust label

Needs manual review

Install path

Command ready

Use when

  • Document processing workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • install command or GitHub repo available
  • 58/100 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

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

65
Trust score

GitHub adoption

CHECK

86 GitHub stars

Stars/forks activity

CHECK

86 stars, 38 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

10mo since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Quality score needs review
  • GitHub adoption: 86 GitHub stars
  • Stars/forks activity: 86 stars, 38 forks; issue activity unavailable in current metadata
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

58
GitHub stars
86
Freshness
10mo ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Parse messy files

Document processing

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

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Build and ship code

Coding agents

I need a coding agent that can understand a repository, edit code, and review pull requests.

Stack fit

Add it to a complete workflow

Ingest, retrieve, and cite

RAG knowledge base

A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.

Turn skills into distribution

Content growth agent

A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.

Inspect, patch, and verify code

Coding review agent

A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.

Alternative shortlist

Compare before you install

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

Compare all

Markitdown

Python tool for converting files and office documents to Markdown.

Adopt
Ready100
Quality100
Stars156.1K

PaddleOCR

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Adopt
Ready100
Quality100
Stars83.1K

Stirling PDF

#1 PDF Application on GitHub that lets you edit PDFs on any device anywhere

Adopt
Ready100
Quality100
Stars81.2K

Tesseract

Tesseract Open Source OCR Engine (main repository)

Adopt
Ready100
Quality100
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Overview

JARVIS - A ASSISTANT WHICH IS NEEDED FOR EVERYONE

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
pdfFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
7/19/2026
Published
7/10/2026

Frameworks & Tools

PythonPDF

Decision snapshot

Needs validation

48
Ready
Review
Stage

install command or GitHub repo available

Audit snapshot

Install review

Install and adoption review

72
Needs review
Security
87/100
Maintenance
62/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

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

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for JARVIS MARK5, ready for a manual X post.

Curator note
The useful research skills are not search wrappers. They help agents keep sources attached.

JARVIS MARK5 helps agents turn docs, data, or knowledge bases into grounded work.

86 stars

https://www.openagentskill.com/skills/likhithsai2580-jarvis-mark5?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for JARVIS MARK5:
https://www.openagentskill.com/skills/likhithsai2580-jarvis-mark5?ref=x

Install: npx skills add Likhithsai2580/JARVIS-MARK5
Open reply draft

Listing source

Community indexed

Claimable

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

Creator
Likhithsai2580
Source
Likhithsai2580/JARVIS-MARK5
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 Likhithsai2580 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.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/likhithsai2580-jarvis-mark5?metric=listed&label=Listed)](https://www.openagentskill.com/skills/likhithsai2580-jarvis-mark5)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/likhithsai2580-jarvis-mark5?metric=trust&label=Trust)](https://www.openagentskill.com/skills/likhithsai2580-jarvis-mark5)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/likhithsai2580-jarvis-mark5?metric=audit&label=Audit)](https://www.openagentskill.com/skills/likhithsai2580-jarvis-mark5/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/likhithsai2580-jarvis-mark5?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/likhithsai2580-jarvis-mark5)
Preview badge Open audit Creator Kit

Author

L

Likhithsai2580

@likhithsai2580

Tags

pdfdocumentsextractionaiassistantexcelextensionsfridaygrokimage-analysis

Platform Fit

Claude Code

Health Signals

GitHub stars
86
Quality score
36/100
Last GitHub push
Oct 1, 2025
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

Sandbox only

65
  • GitHub adoption86 GitHub starsCHECK
  • Stars/forks activity86 stars, 38 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenance10mo since pushINFO
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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