ARTEMIS
Stanford-Trinity/ARTEMIS is a high-star GitHub project relevant to AI agent workflows.
Install with one command
$ npx skills add Stanford-Trinity/ARTEMISBest for
Coding agents
Discover skills for code generation, repository analysis, pull-request review, testing, debugging, and agentic software engineering.
Choose it when
- You want a GitHub-backed skill with 513 stars.
- You need a reusable install command for agents.
- You want to compare it with related marketplace skills.
Check before install
- Pushed 1mo ago
- License: Apache-2.0
- Review the repository README and examples.
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.
Automate repeated work
Workflow automation
I need my agent to automate a repeated workflow across tools and files.
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Stack fit
Add it to a complete workflow
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Overview
Stanford-Trinity/ARTEMIS is a high-star GitHub project relevant to AI agent workflows.
Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.
Platform Compatibility
Technical Details
- Version
- 1.0.0
- License
- Apache-2.0
- Last Updated
- 5/23/2026
- Published
- 5/22/2026
Frameworks & Tools
Author
Stanford-Trinity
@stanford-trinity
Platform Fit
Health Signals
- GitHub stars
- 513
- Quality score
- 50/100
- Last GitHub push
- Apr 14, 2026
- Framework hints
- 2
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
- —Open source (public GitHub repo)
- —AI static analysis passed
- —License: Apache-2.0
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