@Lextal
Creator · Lextal
Last updated · Sep 1, 2026
SotA CV
REVIEW · 62Community indexed
A repository of state-of-the-art deep learning methods in computer vision
Creator · Lextal
Last updated · Sep 1, 2026
A repository of state-of-the-art deep learning methods in computer vision
Creator · Lextal
Last updated · Sep 1, 2026
A repository of state-of-the-art deep learning methods in computer vision
Creator · Lextal
Last updated · Sep 1, 2026
A repository of state-of-the-art deep learning methods in computer vision
Creator · Lextal
Last updated · Sep 1, 2026
A repository of state-of-the-art deep learning methods in computer vision
Sandbox only
Install targets
Codex install prompt
Install the "SotA CV" agent skill from https://github.com/Lextal/SotA-CV. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A repository of state-of-the-art deep learning methods in computer vision After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"lextal-sota-cv","task":"Install SotA CV","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Lextal/SotA-CV
Maintenance
stale
8y since push
Risk
Needs review
Repository appears stale
GitHub quality
196
49/100 Quality · 70/100 Trust
Coverage tags
Review notes
Repository appears stale · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
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
Needs reviewInspect the repository carefully before adding it to an agent workflow.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
196 GitHub stars
Repo activity
196 stars, 34 forks
Maintenance
8y since push
License
MIT
Install
npx skills add Lextal/SotA-CV
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Do not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20SotA%20CV%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20SotA%20CV%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/lextal-sota-cv/install
Agent should check
Copy prompt
Task: Use SotA CV in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20SotA%20CV%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/lextal-sota-cv/install
Install command: npx skills add Lextal/SotA-CV
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/lextal-sota-cv/install
LLM text format
/api/skills/lextal-sota-cv/install?format=text
Find alternatives
/api/skills/search?q=SotA%20CV&limit=3
Agent prompt
Use SotA CV for this task. Review https://www.openagentskill.com/api/skills/lextal-sota-cv/install, then install with: npx skills add Lextal/SotA-CVRegistry metadata
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/lextal-sota-cv
LLM text
/api/registry/manifest/lextal-sota-cv?format=text
Install alias
/api/registry/install/lextal-sota-cv
Recommend
/api/registry/recommend?task=Use%20SotA%20CV%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Computer Vision, Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
Coding agents
Trust label
Needs manual review
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO196 GitHub stars
Stars/forks activity
CHECK196 stars, 34 forks; issue activity unavailable in current metadata
Recent maintenance
FIX8y since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Inspect the repository carefully before adding it to an agent workflow.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...
3D Computer Vision Framework
A repository of state-of-the-art deep learning methods in computer vision
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.
Frameworks & tools
Decision snapshot
install command or GitHub repo available
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for SotA CV, ready for a manual X post.
For source-backed research, this is a skill worth shortlisting before another blank prompt. SotA CV: A repository of state-of-the-art deep learning methods in computer vision 196 stars https://www.openagentskill.com/skills/lextal-sota-cv?ref=x
Listing + install path for SotA CV: https://www.openagentskill.com/skills/lextal-sota-cv?ref=x Install: npx skills add Lextal/SotA-CV
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Community indexed listing is attributed to Lextal 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/lextal-sota-cv?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/lextal-sota-cv?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/lextal-sota-cv/audit)
[](https://www.openagentskill.com/skills/lextal-sota-cv?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Lextal
@lextal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Remove AI Watermarks
AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.
4.3K StarsVLMEvalKit
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
4.2K StarsAily Blockly
AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...
3.8K StarsAliceVision
3D Computer Vision Framework
3.5K StarsSandbox only
Install targets
Codex install prompt
Install the "SotA CV" agent skill from https://github.com/Lextal/SotA-CV. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A repository of state-of-the-art deep learning methods in computer vision After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"lextal-sota-cv","task":"Install SotA CV","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Lextal/SotA-CV
Maintenance
stale
8y since push
Risk
Needs review
Repository appears stale
GitHub quality
196
49/100 Quality · 70/100 Trust
Coverage tags
Review notes
Repository appears stale · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
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
Needs reviewInspect the repository carefully before adding it to an agent workflow.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
196 GitHub stars
Repo activity
196 stars, 34 forks
Maintenance
8y since push
License
MIT
Install
npx skills add Lextal/SotA-CV
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Do not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20SotA%20CV%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20SotA%20CV%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/lextal-sota-cv/install
Agent should check
Copy prompt
Task: Use SotA CV in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20SotA%20CV%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/lextal-sota-cv/install
Install command: npx skills add Lextal/SotA-CV
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/lextal-sota-cv/install
LLM text format
/api/skills/lextal-sota-cv/install?format=text
Find alternatives
/api/skills/search?q=SotA%20CV&limit=3
Agent prompt
Use SotA CV for this task. Review https://www.openagentskill.com/api/skills/lextal-sota-cv/install, then install with: npx skills add Lextal/SotA-CVRegistry metadata
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/lextal-sota-cv
LLM text
/api/registry/manifest/lextal-sota-cv?format=text
Install alias
/api/registry/install/lextal-sota-cv
Recommend
/api/registry/recommend?task=Use%20SotA%20CV%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Computer Vision, Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
Coding agents
Trust label
Needs manual review
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO196 GitHub stars
Stars/forks activity
CHECK196 stars, 34 forks; issue activity unavailable in current metadata
Recent maintenance
FIX8y since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Inspect the repository carefully before adding it to an agent workflow.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...
3D Computer Vision Framework
A repository of state-of-the-art deep learning methods in computer vision
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.
Frameworks & tools
Decision snapshot
install command or GitHub repo available
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for SotA CV, ready for a manual X post.
For source-backed research, this is a skill worth shortlisting before another blank prompt. SotA CV: A repository of state-of-the-art deep learning methods in computer vision 196 stars https://www.openagentskill.com/skills/lextal-sota-cv?ref=x
Listing + install path for SotA CV: https://www.openagentskill.com/skills/lextal-sota-cv?ref=x Install: npx skills add Lextal/SotA-CV
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Community indexed listing is attributed to Lextal 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/lextal-sota-cv?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/lextal-sota-cv?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/lextal-sota-cv/audit)
[](https://www.openagentskill.com/skills/lextal-sota-cv?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Lextal
@lextal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Remove AI Watermarks
AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.
4.3K StarsVLMEvalKit
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
4.2K StarsAily Blockly
AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...
3.8K StarsAliceVision
3D Computer Vision Framework
3.5K StarsSandbox only
Install targets
Codex install prompt
Install the "SotA CV" agent skill from https://github.com/Lextal/SotA-CV. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A repository of state-of-the-art deep learning methods in computer vision After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"lextal-sota-cv","task":"Install SotA CV","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Lextal/SotA-CV
Maintenance
stale
8y since push
Risk
Needs review
Repository appears stale
GitHub quality
196
49/100 Quality · 70/100 Trust
Coverage tags
Review notes
Repository appears stale · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
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
Needs reviewInspect the repository carefully before adding it to an agent workflow.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
196 GitHub stars
Repo activity
196 stars, 34 forks
Maintenance
8y since push
License
MIT
Install
npx skills add Lextal/SotA-CV
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Do not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20SotA%20CV%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20SotA%20CV%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/lextal-sota-cv/install
Agent should check
Copy prompt
Task: Use SotA CV in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20SotA%20CV%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/lextal-sota-cv/install
Install command: npx skills add Lextal/SotA-CV
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/lextal-sota-cv/install
LLM text format
/api/skills/lextal-sota-cv/install?format=text
Find alternatives
/api/skills/search?q=SotA%20CV&limit=3
Agent prompt
Use SotA CV for this task. Review https://www.openagentskill.com/api/skills/lextal-sota-cv/install, then install with: npx skills add Lextal/SotA-CVRegistry metadata
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/lextal-sota-cv
LLM text
/api/registry/manifest/lextal-sota-cv?format=text
Install alias
/api/registry/install/lextal-sota-cv
Recommend
/api/registry/recommend?task=Use%20SotA%20CV%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Computer Vision, Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
Coding agents
Trust label
Needs manual review
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO196 GitHub stars
Stars/forks activity
CHECK196 stars, 34 forks; issue activity unavailable in current metadata
Recent maintenance
FIX8y since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Inspect the repository carefully before adding it to an agent workflow.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...
3D Computer Vision Framework
A repository of state-of-the-art deep learning methods in computer vision
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.
Frameworks & tools
Decision snapshot
install command or GitHub repo available
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for SotA CV, ready for a manual X post.
For source-backed research, this is a skill worth shortlisting before another blank prompt. SotA CV: A repository of state-of-the-art deep learning methods in computer vision 196 stars https://www.openagentskill.com/skills/lextal-sota-cv?ref=x
Listing + install path for SotA CV: https://www.openagentskill.com/skills/lextal-sota-cv?ref=x Install: npx skills add Lextal/SotA-CV
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Community indexed listing is attributed to Lextal 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/lextal-sota-cv?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/lextal-sota-cv?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/lextal-sota-cv/audit)
[](https://www.openagentskill.com/skills/lextal-sota-cv?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Lextal
@lextal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
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Install targets
Codex install prompt
Install the "SotA CV" agent skill from https://github.com/Lextal/SotA-CV. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: A repository of state-of-the-art deep learning methods in computer vision After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"lextal-sota-cv","task":"Install SotA CV","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Lextal/SotA-CV
Maintenance
stale
8y since push
Risk
Needs review
Repository appears stale
GitHub quality
196
49/100 Quality · 70/100 Trust
Coverage tags
Review notes
Repository appears stale · Financial research output is not financial advice; require human review before any live investment decision
Agent adoption scorecard
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
Needs reviewInspect the repository carefully before adding it to an agent workflow.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
196 GitHub stars
Repo activity
196 stars, 34 forks
Maintenance
8y since push
License
MIT
Install
npx skills add Lextal/SotA-CV
Agent-readable metadata
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.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Do not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
Agent resolve plan
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 JSON
/api/agent/resolve?task=Use%20SotA%20CV%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20SotA%20CV%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/lextal-sota-cv/install
Agent should check
Copy prompt
Task: Use SotA CV in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20SotA%20CV%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/lextal-sota-cv/install
Install command: npx skills add Lextal/SotA-CV
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/lextal-sota-cv/install
LLM text format
/api/skills/lextal-sota-cv/install?format=text
Find alternatives
/api/skills/search?q=SotA%20CV&limit=3
Agent prompt
Use SotA CV for this task. Review https://www.openagentskill.com/api/skills/lextal-sota-cv/install, then install with: npx skills add Lextal/SotA-CVRegistry metadata
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/lextal-sota-cv
LLM text
/api/registry/manifest/lextal-sota-cv?format=text
Install alias
/api/registry/install/lextal-sota-cv
Recommend
/api/registry/recommend?task=Use%20SotA%20CV%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Computer Vision, Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Do a manual repository review before adding this to an agent workflow.
Role in stack
Needs validation
Primary fit
Coding agents
Trust label
Needs manual review
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
INFO196 GitHub stars
Stars/forks activity
CHECK196 stars, 34 forks; issue activity unavailable in current metadata
Recent maintenance
FIX8y since push
License clarity
PASSMIT
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
Inspect the repository carefully before adding it to an agent workflow.
Workflow fit
Build and ship code
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Alternative shortlist
Similar skills that may fit this task.
AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.
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AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...
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A repository of state-of-the-art deep learning methods in computer vision
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.
Frameworks & tools
Decision snapshot
install command or GitHub repo available
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for SotA CV, ready for a manual X post.
For source-backed research, this is a skill worth shortlisting before another blank prompt. SotA CV: A repository of state-of-the-art deep learning methods in computer vision 196 stars https://www.openagentskill.com/skills/lextal-sota-cv?ref=x
Listing + install path for SotA CV: https://www.openagentskill.com/skills/lextal-sota-cv?ref=x Install: npx skills add Lextal/SotA-CV
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Community indexed listing is attributed to Lextal 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
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/lextal-sota-cv?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/lextal-sota-cv?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/lextal-sota-cv/audit)
[](https://www.openagentskill.com/skills/lextal-sota-cv?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)Lextal
@lextal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Remove AI Watermarks
AI watermark remover. CLI and Python library to strip visible and invisible AI watermarks (Gemini / Nano Banana sparkle, SynthID) and provenance metadata (C2PA, EXIF, IPTC) from images.
4.3K StarsVLMEvalKit
Open-source evaluation toolkit of large multi-modality models (LMMs), support 220+ LMMs, 80+ benchmarks
4.2K StarsAily Blockly
AI IDE for hardware development, support Arduino, MicroPython, ESP32, STM32, RP2040, Nrf5x...
3.8K StarsAliceVision
3D Computer Vision Framework
3.5K Starsstandard package or runtime install path
Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
standard package or runtime install path
Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
standard package or runtime install path
Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness
standard package or runtime install path
Permission surface
filesystem or document access, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Usable metadata, review docs
Risk summary
Install readiness