Remote Gpu Trainer
An Agent Skill for the DL experiment lifecycle: RUN (a GPU you own or rent) → VERIFY the number is real → DELIVER reproducible, single-source figures and tables.
Supply asset profile
Research and knowledge work
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add Hanyuyuan6/remote-gpu-trainer
Maintenance
fresh
Pushed today
Risk
Safe to try
Quality score needs review
GitHub quality
62
76/100 Quality · 76/100 Trust
Coverage tags
Review notes
Quality score needs review · GitHub adoption: 62 GitHub stars
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
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Safe to tryA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Human review before install
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
62 GitHub stars
Repo activity
62 stars, 6 forks
Maintenance
Pushed today
License
MIT
Install
npx skills add Hanyuyuan6/remote-gpu-trainer
Install safety
standard package or runtime install path
Permission surface
shell or command execution, network or browser access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Review before production
- Quality score needs review
- GitHub adoption: 62 GitHub stars
- Stars/forks activity: 62 stars, 6 forks; issue activity unavailable in current metadata
Install readiness
Install path available
- Install path is available
- Repository evidence is available
- License is declared
- No Agent Proven outcome evidence yet
Agent-readable metadata
Machine-readable decision data for this skill.
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
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Suited agents
Install decision
- Command
- npx skills add Hanyuyuan6/remote-gpu-trainer
- Policy
- review
- Human review
- yes
Trust and risk
- Trust
- 68/100
- Audit
- 82/100
- Risk level
- Safe to try
Outcome loop
- Endpoint
- /api/agent/outcome
- Event ID
- resolve
- Outcomes
- 5
Install command
npx skills add Hanyuyuan6/remote-gpu-trainerDo not use when
- teams that need a vendor-supported SLA
- high-compliance environments without internal security review
- No OpenAgentSkill engagement data yet
- High-risk permission hints: Shell or command execution
- Quality score needs review
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Agent safety v2
58/100 · Review before install
Usable candidate, but the agent should surface permission and audit notes before installation.
Require human approval before installing into a real workspace.
high
Shell or command execution
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Network access
Skill likely fetches remote pages, APIs, repositories, or external services.
- High-risk permission hints: Shell or command execution
- Quality score needs review
Install targets
Install this skill in your agent workflow
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
OpenAgentSkill CLI
Use the registry command when your workflow supports the OpenAgentSkill installer.
$ npx skills add Hanyuyuan6/remote-gpu-trainerAgent 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.
Open JSON
/api/agent/resolve?task=Use%20Remote%20Gpu%20Trainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20Remote%20Gpu%20Trainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/hanyuyuan6-remote-gpu-trainer/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 Remote Gpu Trainer in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Remote%20Gpu%20Trainer%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/hanyuyuan6-remote-gpu-trainer/install
Install command: npx skills add Hanyuyuan6/remote-gpu-trainer
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/hanyuyuan6-remote-gpu-trainer/install
LLM text format
/api/skills/hanyuyuan6-remote-gpu-trainer/install?format=text
Find alternatives
/api/skills/search?q=Remote%20Gpu%20Trainer&limit=3
Agent prompt
Use Remote Gpu Trainer for this task. Review https://www.openagentskill.com/api/skills/hanyuyuan6-remote-gpu-trainer/install, then install with: npx skills add Hanyuyuan6/remote-gpu-trainerRegistry 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/hanyuyuan6-remote-gpu-trainer
LLM text
/api/registry/manifest/hanyuyuan6-remote-gpu-trainer?format=text
Install alias
/api/registry/install/hanyuyuan6-remote-gpu-trainer
Recommend
/api/registry/recommend?task=Use%20Remote%20Gpu%20Trainer%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
Platforms
Python, Claude Code
Audit report
Safe to try · 82/100
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Companion skill for GitHub automation
Shortlist this skill and compare it with close alternatives before production adoption.
Role in stack
Companion skill
Primary fit
GitHub automation
Trust label
Strong shortlist
Install path
Command ready
Use when
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
Evidence
- recent repository activity
- install command or GitHub repo available
- 76/100 quality profile
review first
- No OpenAgentSkill engagement data yet
Implementation path
- 1Install it in a sandbox agent and run one GitHub automation 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
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
CHECK62 GitHub stars
Stars/forks activity
CHECK62 stars, 6 forks; issue activity unavailable in current metadata
Recent maintenance
PASSPushed today
License clarity
PASSMIT
Good signals
- AI review approved
- Install path is available
- Repository evidence is available
- Recently maintained repository
- Install command has no obvious high-risk pattern
- Outcome loop is ready but needs first real agent run
Review before install
- Quality score needs review
- GitHub adoption: 62 GitHub stars
- Stars/forks activity: 62 stars, 6 forks; issue activity unavailable in current metadata
- No real agent outcome reports yet
- Human review required before unattended installation
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
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
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Ingest, retrieve, and cite
RAG knowledge base
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Last30days Skill
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GPT Researcher
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Deep Research
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Overview
# remote-gpu-trainer
An Agent Skill for the **whole life of a DL experiment** — **RUN** a job (on a GPU you own *or* rent), **VERIFY** that the number is real, and **DELIVER** it as organized, single-source, reproducible figures and tables. Its deepest part is still remote-GPU operations (AutoDL, RunPod, vast.ai, Lambda, Paperspace, the Chinese platforms 恒源云 / 矩池云 / Featurize / 揽睿星舟, bare SSH, Slurm, Kubernetes — one instance or a fan-out of many), now wrapped in the full run → verify → deliver arc.
[](LICENSE) [](https://agentskills.io) [](evals/RESULTS.md) [](#whats-inside) [](#whats-inside) [](https://github.com/Hanyuyuan6/remote-gpu-trainer/releases/tag/v1.0.0)
> **What this is, and what it isn't.** "AutoDL" here means the [autodl.com](https://www.autodl.com) > GPU-rental platform, not AutoML or NAS. And this is an Agent Skill — a `SKILL.md` with reference docs and > script templates, not a CLI or an SDK. It sits on top of each platform's API and the DL workflow, and > captures the operational and judgment knowledge they leave out.
One skill, three phases of one real workflow:
- **RUN** — get a long GPU job to start, survive, and finish, then get the result off the box. On a machine **you own** there is no meter; on a **rented** one the core insight is that you are a short-term tenant on someone else's machine — so the job is to detach the work, make the result outlive the instance, and stop the meter safely. The things that genuinely vary between platforms (stop-vs-destroy billing, machin
Platform compatibility
Technical details
- Version
- 1.0.0
- License
- MIT
- Last updated
- Aug 2, 2026
- Published
- Aug 2, 2026
Frameworks & tools
Decision snapshot
Companion skill
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 83/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- Success rate
- —
- Recent failure
- —
- Outcomes
- 0
- Output quality
- —
- Failed
- 0
- Not relevant
- 0
- Installs
- 0
- Risk blocked
- 0
- Setup needed
- 0
- Production
- 0
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
Add to agent workflow
Free and open source. Review the report before installing into production agents.
Growth loop
Share kit
Scenario-led draft for Remote Gpu Trainer, ready for a manual X post.
A practical pick for source-backed research: Remote Gpu Trainer: A SKILL.md-based agent skill covering the full deep learning experiment lifecycle—running jobs on owned or rented GPUs, ver... 62 stars https://www.openagentskill.com/skills/hanyuyuan6-remote-gpu-trainer?ref=x
Optional reply with install command
Listing + install path for Remote Gpu Trainer: https://www.openagentskill.com/skills/hanyuyuan6-remote-gpu-trainer?ref=x Install: npx skills add Hanyuyuan6/remote-gpu-trainer
Listing source
Community indexed
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- Hanyuyuan6
- 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 Hanyuyuan6 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
Add the evidence badges to your README
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/hanyuyuan6-remote-gpu-trainer)
[](https://www.openagentskill.com/skills/hanyuyuan6-remote-gpu-trainer)
[](https://www.openagentskill.com/skills/hanyuyuan6-remote-gpu-trainer/audit)
[](https://www.openagentskill.com/skills/hanyuyuan6-remote-gpu-trainer)Author
Hanyuyuan6
@hanyuyuan6
Platform fit
Health signals
- GitHub stars
- 62
- Quality score
- 47/100
- Last GitHub push
- Aug 2, 2026
- Framework hints
- 1
- 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
Sandbox only
- GitHub adoption62 GitHub starsCHECK
- Stars/forks activity62 stars, 6 forks; issue activity unavailable in current metadataCHECK
- Recent maintenancePushed todayPASS
- License clarityMITPASS
- README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
- Dependency/runtime riskcommand execution surface, network or browser surfaceINFO
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