@frankkramer-lab
Creator · frankkramer-lab
Last updated · Sep 1, 2026
MIScnn
REVIEW · 65Community indexed
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Creator · frankkramer-lab
Last updated · Sep 1, 2026
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Creator · frankkramer-lab
Last updated · Sep 1, 2026
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Creator · frankkramer-lab
Last updated · Sep 1, 2026
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Creator · frankkramer-lab
Last updated · Sep 1, 2026
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
Sandbox only
Install targets
Codex install prompt
Install the "MIScnn" agent skill from https://github.com/frankkramer-lab/MIScnn. 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 framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning 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":"frankkramer-lab-miscnn","task":"Install MIScnn","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add frankkramer-lab/MIScnn
Maintenance
stale
3y since push
Risk
Needs review
Repository appears stale
GitHub quality
424
53/100 Quality · 73/100 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
424 GitHub stars
Repo activity
424 stars, 118 forks
Maintenance
3y since push
License
GPL-3.0
Install
npx skills add frankkramer-lab/MIScnn
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
Install command
npx skills add frankkramer-lab/MIScnnDo 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%20MIScnn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20MIScnn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/frankkramer-lab-miscnn/install
Agent should check
Copy prompt
Task: Use MIScnn in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20MIScnn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/frankkramer-lab-miscnn/install
Install command: npx skills add frankkramer-lab/MIScnn
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/frankkramer-lab-miscnn/install
LLM text format
/api/skills/frankkramer-lab-miscnn/install?format=text
Find alternatives
/api/skills/search?q=MIScnn&limit=3
Agent prompt
Use MIScnn for this task. Review https://www.openagentskill.com/api/skills/frankkramer-lab-miscnn/install, then install with: npx skills add frankkramer-lab/MIScnnRegistry 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/frankkramer-lab-miscnn
LLM text
/api/registry/manifest/frankkramer-lab-miscnn?format=text
Install alias
/api/registry/install/frankkramer-lab-miscnn
Recommend
/api/registry/recommend?task=Use%20MIScnn%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Python, 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
GitHub automation
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
INFO424 GitHub stars
Stars/forks activity
INFO424 stars, 118 forks; issue activity unavailable in current metadata
Recent maintenance
FIX3y since push
License clarity
PASSGPL-3.0
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
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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.
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 framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
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 MIScnn, ready for a manual X post.
A practical pick for design or creative work: MIScnn: A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning 424 stars https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=x
Listing + install path for MIScnn: https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=x Install: npx skills add frankkramer-lab/MIScnn
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 frankkramer-lab 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/frankkramer-lab-miscnn?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/frankkramer-lab-miscnn/audit)
[](https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)frankkramer-lab
@frankkramer-lab
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
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3.8K StarsAliceVision
3D Computer Vision Framework
3.5K StarsSandbox only
Install targets
Codex install prompt
Install the "MIScnn" agent skill from https://github.com/frankkramer-lab/MIScnn. 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 framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning 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":"frankkramer-lab-miscnn","task":"Install MIScnn","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add frankkramer-lab/MIScnn
Maintenance
stale
3y since push
Risk
Needs review
Repository appears stale
GitHub quality
424
53/100 Quality · 73/100 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
424 GitHub stars
Repo activity
424 stars, 118 forks
Maintenance
3y since push
License
GPL-3.0
Install
npx skills add frankkramer-lab/MIScnn
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
Install command
npx skills add frankkramer-lab/MIScnnDo 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%20MIScnn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20MIScnn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/frankkramer-lab-miscnn/install
Agent should check
Copy prompt
Task: Use MIScnn in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20MIScnn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/frankkramer-lab-miscnn/install
Install command: npx skills add frankkramer-lab/MIScnn
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/frankkramer-lab-miscnn/install
LLM text format
/api/skills/frankkramer-lab-miscnn/install?format=text
Find alternatives
/api/skills/search?q=MIScnn&limit=3
Agent prompt
Use MIScnn for this task. Review https://www.openagentskill.com/api/skills/frankkramer-lab-miscnn/install, then install with: npx skills add frankkramer-lab/MIScnnRegistry 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/frankkramer-lab-miscnn
LLM text
/api/registry/manifest/frankkramer-lab-miscnn?format=text
Install alias
/api/registry/install/frankkramer-lab-miscnn
Recommend
/api/registry/recommend?task=Use%20MIScnn%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Python, 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
GitHub automation
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
INFO424 GitHub stars
Stars/forks activity
INFO424 stars, 118 forks; issue activity unavailable in current metadata
Recent maintenance
FIX3y since push
License clarity
PASSGPL-3.0
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
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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.
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 framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
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 MIScnn, ready for a manual X post.
A practical pick for design or creative work: MIScnn: A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning 424 stars https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=x
Listing + install path for MIScnn: https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=x Install: npx skills add frankkramer-lab/MIScnn
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 frankkramer-lab 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/frankkramer-lab-miscnn?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/frankkramer-lab-miscnn/audit)
[](https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)frankkramer-lab
@frankkramer-lab
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 "MIScnn" agent skill from https://github.com/frankkramer-lab/MIScnn. 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 framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning 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":"frankkramer-lab-miscnn","task":"Install MIScnn","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add frankkramer-lab/MIScnn
Maintenance
stale
3y since push
Risk
Needs review
Repository appears stale
GitHub quality
424
53/100 Quality · 73/100 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
424 GitHub stars
Repo activity
424 stars, 118 forks
Maintenance
3y since push
License
GPL-3.0
Install
npx skills add frankkramer-lab/MIScnn
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
Install command
npx skills add frankkramer-lab/MIScnnDo 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%20MIScnn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20MIScnn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/frankkramer-lab-miscnn/install
Agent should check
Copy prompt
Task: Use MIScnn in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20MIScnn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/frankkramer-lab-miscnn/install
Install command: npx skills add frankkramer-lab/MIScnn
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/frankkramer-lab-miscnn/install
LLM text format
/api/skills/frankkramer-lab-miscnn/install?format=text
Find alternatives
/api/skills/search?q=MIScnn&limit=3
Agent prompt
Use MIScnn for this task. Review https://www.openagentskill.com/api/skills/frankkramer-lab-miscnn/install, then install with: npx skills add frankkramer-lab/MIScnnRegistry 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/frankkramer-lab-miscnn
LLM text
/api/registry/manifest/frankkramer-lab-miscnn?format=text
Install alias
/api/registry/install/frankkramer-lab-miscnn
Recommend
/api/registry/recommend?task=Use%20MIScnn%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Python, 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
GitHub automation
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
INFO424 GitHub stars
Stars/forks activity
INFO424 stars, 118 forks; issue activity unavailable in current metadata
Recent maintenance
FIX3y since push
License clarity
PASSGPL-3.0
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
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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.
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 framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
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 MIScnn, ready for a manual X post.
A practical pick for design or creative work: MIScnn: A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning 424 stars https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=x
Listing + install path for MIScnn: https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=x Install: npx skills add frankkramer-lab/MIScnn
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 frankkramer-lab 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/frankkramer-lab-miscnn?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/frankkramer-lab-miscnn/audit)
[](https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)frankkramer-lab
@frankkramer-lab
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
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Install targets
Codex install prompt
Install the "MIScnn" agent skill from https://github.com/frankkramer-lab/MIScnn. 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 framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning 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":"frankkramer-lab-miscnn","task":"Install MIScnn","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
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add frankkramer-lab/MIScnn
Maintenance
stale
3y since push
Risk
Needs review
Repository appears stale
GitHub quality
424
53/100 Quality · 73/100 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
424 GitHub stars
Repo activity
424 stars, 118 forks
Maintenance
3y since push
License
GPL-3.0
Install
npx skills add frankkramer-lab/MIScnn
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
Install command
npx skills add frankkramer-lab/MIScnnDo 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%20MIScnn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20MIScnn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/frankkramer-lab-miscnn/install
Agent should check
Copy prompt
Task: Use MIScnn in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20MIScnn%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/frankkramer-lab-miscnn/install
Install command: npx skills add frankkramer-lab/MIScnn
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/frankkramer-lab-miscnn/install
LLM text format
/api/skills/frankkramer-lab-miscnn/install?format=text
Find alternatives
/api/skills/search?q=MIScnn&limit=3
Agent prompt
Use MIScnn for this task. Review https://www.openagentskill.com/api/skills/frankkramer-lab-miscnn/install, then install with: npx skills add frankkramer-lab/MIScnnRegistry 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/frankkramer-lab-miscnn
LLM text
/api/registry/manifest/frankkramer-lab-miscnn?format=text
Install alias
/api/registry/install/frankkramer-lab-miscnn
Recommend
/api/registry/recommend?task=Use%20MIScnn%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Python, 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
GitHub automation
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
INFO424 GitHub stars
Stars/forks activity
INFO424 stars, 118 forks; issue activity unavailable in current metadata
Recent maintenance
FIX3y since push
License clarity
PASSGPL-3.0
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
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
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.
Workflow fit
Turn skills into distribution
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
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.
Alternative shortlist
Similar skills that may fit this task.
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A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
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 MIScnn, ready for a manual X post.
A practical pick for design or creative work: MIScnn: A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning 424 stars https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=x
Listing + install path for MIScnn: https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=x Install: npx skills add frankkramer-lab/MIScnn
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 frankkramer-lab 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/frankkramer-lab-miscnn?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/frankkramer-lab-miscnn/audit)
[](https://www.openagentskill.com/skills/frankkramer-lab-miscnn?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)frankkramer-lab
@frankkramer-lab
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
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3D Computer Vision Framework
3.5K Starsstandard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness
standard package or runtime install path
Permission surface
filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness