X AnyLabeling
Effortless data labeling with AI support from Segment Anything and other awesome models.
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
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Production candidateStrong trust signals across adoption, maintenance, install readiness, and review status.
Audit
Safe to tryInstall readiness, security metadata, maintenance, and adoption risk.
Agent safety v2
89/100 · Safe to install with normal review
Safety v2 estimates whether an agent should auto-install this skill by combining audit risk, install readiness, inferred permission surface, and policy constraints.
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.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add CVHub520/X-AnyLabelingAgent 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.
Install handoff
/api/skills/cvhub520-x-anylabeling/install
LLM text format
/api/skills/cvhub520-x-anylabeling/install?format=text
Find alternatives
/api/skills/search?q=X%20AnyLabeling&limit=3
Agent prompt
Use X AnyLabeling for this task. Review https://www.openagentskill.com/api/skills/cvhub520-x-anylabeling/install, then install with: npx skills add CVHub520/X-AnyLabelingRegistry 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.
Manifest
/api/registry/manifest/cvhub520-x-anylabeling
LLM text
/api/registry/manifest/cvhub520-x-anylabeling?format=text
Install alias
/api/registry/install/cvhub520-x-anylabeling
Recommend
/api/registry/recommend?task=Use%20X%20AnyLabeling%20in%20an%20agent%20workflow&limit=3
Agent fit
Document processing
Use-case tags
Platforms
Python, OCR, Claude Code
Audit report
Safe to try · 97/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
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.
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
- 9,403 GitHub stars
- recent repository activity
- install command or GitHub repo available
- 100/100 quality profile
- 3 OpenAgentSkill engagement events
Review first
- No major risk signals from current metadata
Implementation path
- 1Install it in a sandbox agent and run one Document processing task end to end.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
Trust profile
Production candidate
Strong trust signals across adoption, maintenance, install readiness, and review status.
Ownership
PASSListing manually verified
Install path
PASSnpx skills add CVHub520/X-AnyLabeling
Repository
PASShttps://github.com/CVHub520/X-AnyLabeling
License
PASSGPL-3.0
Good signals
- Manually verified listing
- AI review approved
- Recently maintained repository
- Large GitHub adoption signal
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.
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.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Process rich media
Multimodal media
I need my agent to process images, video, or audio and extract useful information.
Stack fit
Add it to a complete workflow
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.
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.
Alternative shortlist
Compare before you install
Similar skills in this category, ranked with the same readiness and quality signals.
Markitdown
Python tool for converting files and office documents to Markdown.
Stirling PDF
#1 PDF Application on GitHub that lets you edit PDFs on any device anywhere
Tesseract
Tesseract Open Source OCR Engine (main repository)
MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Overview
Effortless data labeling with AI support from Segment Anything and other awesome models.
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
Technical Details
- Version
- 1.0.0
- License
- GPL-3.0
- Last Updated
- 6/12/2026
- Published
- 6/12/2026
Frameworks & Tools
Decision snapshot
Primary pick
9,403 GitHub stars
Audit Snapshot
Install and adoption review
- Security
- 87/100
- Maintenance
- 100/100
- Install
- 92/100
Growth loop
Share this skill
Scenario-led draft for X AnyLabeling, with the OpenAgentSkill Update theme and canonical URL.
OpenAgentSkill Update Today: X AnyLabeling Use it when your agent needs to turn docs, data, or knowledge bases into answers and actions. 9.4K stars - document-processing Link: https://www.openagentskill.com/skills/cvhub520-x-anylabeling?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for X AnyLabeling: https://www.openagentskill.com/skills/cvhub520-x-anylabeling?ref=x Install: npx skills add CVHub520/X-AnyLabeling
Are you the maintainer?
Claim this listing 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.
[](https://www.openagentskill.com/skills/cvhub520-x-anylabeling)Author
CVHub520✓
@cvhub520
Tags
Platform Fit
Health Signals
- GitHub stars
- 9.4K
- Quality score
- 70/100
- Last GitHub push
- Jun 6, 2026
- Framework hints
- 2
- OpenAgentSkill views
- 2
- 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
- OwnershipListing manually verifiedPASS
- Install pathnpx skills add CVHub520/X-AnyLabelingPASS
- Repositoryhttps://github.com/CVHub520/X-AnyLabelingPASS
- LicenseGPL-3.0PASS
- Maintenance5d since pushPASS
- AI reviewApproved with no listed issuesPASS
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