Computer Vision In Action
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
Scenario
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Charmve/computer-vision-in-action
Maintenance
stale
2y since push
Risk
Needs review
License is unclear
GitHub quality
2.9K
70/100 quality · 77/100 trust
Coverage tags
Review notes
License is unclear · Repository appears stale
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Strong shortlistGood trust signals with a few areas worth checking before rollout.
Audit
Needs reviewInstall readiness, security metadata, maintenance, and adoption risk.
Agent safety v2
55/100 · Review before install
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
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.
- License is unclear
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 Charmve/computer-vision-in-actionAgent 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.
Resolve JSON
/api/agent/resolve?task=Use%20Computer%20Vision%20In%20Action%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Computer%20Vision%20In%20Action%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/charmve-computer-vision-in-action/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 Computer Vision In Action in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Computer%20Vision%20In%20Action%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/charmve-computer-vision-in-action/install
Install command: npx skills add Charmve/computer-vision-in-action
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.
Install handoff
/api/skills/charmve-computer-vision-in-action/install
LLM text format
/api/skills/charmve-computer-vision-in-action/install?format=text
Find alternatives
/api/skills/search?q=Computer%20Vision%20In%20Action&limit=3
Agent prompt
Use Computer Vision In Action for this task. Review https://www.openagentskill.com/api/skills/charmve-computer-vision-in-action/install, then install with: npx skills add Charmve/computer-vision-in-actionRegistry 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/charmve-computer-vision-in-action
LLM text
/api/registry/manifest/charmve-computer-vision-in-action?format=text
Install alias
/api/registry/install/charmve-computer-vision-in-action
Recommend
/api/registry/recommend?task=Use%20Computer%20Vision%20In%20Action%20in%20an%20agent%20workflow&limit=3
Agent fit
Coding agents
Use-case tags
Platforms
Jupyter Notebook, Computer Vision, Claude Code
Audit report
Needs review · 71/100
Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.
Agent decision cockpit
Companion skill for Coding agents
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
Coding agents
Trust label
Strong shortlist
Install path
Command ready
Use when
- Coding agents workflows
- Claude Code teams
- teams that value GitHub adoption signals
Evidence
- 2,851 GitHub stars
- install command or GitHub repo available
- 70/100 quality profile
Review first
- Repository looks stale
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one Coding agents 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
Strong shortlist
Good trust signals with a few areas worth checking before rollout.
GitHub adoption
PASS2.9K GitHub stars
Recent maintenance
FIX2y since push
License clarity
CHECKUnknown
README/SKILL.md completeness
PASSMetadata includes enough usage and workflow context
Good signals
- Manually verified listing
- AI review approved
- Install path is available
- Repository evidence is available
- Meaningful GitHub adoption signal
Review before install
- License is unclear
- Repository looks stale
- Quality score needs review
- Recent maintenance: 2y since push
- License clarity: Unknown
Recommended action
Test in a sandbox workflow and compare its install path with close alternatives.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Operate web apps
Browser automation
I need my agent to control a browser, fill forms, and verify web app workflows.
Stack fit
Add it to a complete workflow
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.
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.
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
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Overview
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页
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
- Unknown
- Last Updated
- 6/16/2026
- Published
- 6/16/2026
Frameworks & Tools
Decision snapshot
Companion skill
2,851 GitHub stars
Audit Snapshot
Install and adoption review
- Security
- 89/100
- Maintenance
- 20/100
- Install
- 92/100
Growth loop
Share this skill
Scenario-led draft for Computer Vision In Action, with the OpenAgentSkill Update theme and canonical URL.
OpenAgentSkill Update Today: Computer Vision In Action Use it when you want your coding agent to carry more repo context and ship repetitiv... 2.9K stars - robotics-iot Link: https://www.openagentskill.com/skills/charmve-computer-vision-in-action?ref=x #AIAgents #OpenAgentSkill
Optional reply with install command
Link for Computer Vision In Action: https://www.openagentskill.com/skills/charmve-computer-vision-in-action?ref=x Install: npx skills add Charmve/computer-vision-in-action
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- Charmve
- 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 skillOwner claim
Claim this skill listing
This community indexed listing is attributed to Charmve but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
README badge
Add this badge to your GitHub README to show the listing, trust score, and install handoff.
[](https://www.openagentskill.com/skills/charmve-computer-vision-in-action)Author
Charmve✓
@charmve
Tags
Platform Fit
Health Signals
- GitHub stars
- 2.9K
- Quality score
- 51/100
- Last GitHub push
- May 27, 2024
- 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
Strong shortlist
- GitHub adoption2.9K GitHub starsPASS
- Recent maintenance2y since pushFIX
- License clarityUnknownCHECK
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency riskno major dependency risk hints in public metadataPASS
- Install availabilitynpx skills add Charmve/computer-vision-in-actionPASS
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