{"slug":"swanhubx-pytrio-skill","name":"Pytrio Skill","description":"A packaged SKILL.md that teaches AI coding agents to write correct PyTRIO remote LLM training and inference code, with examples for SFT, GRPO, DPO, and more.","long_description":"<div align=\"center\">\n\n<a href=\"https://pytrio.cn/\">\n  <picture>\n    <source media=\"(prefers-color-scheme: dark)\" srcset=\"images/TRIO_LOGO_DARK.png\" />\n    <source media=\"(prefers-color-scheme: light)\" srcset=\"images/TRIO_LOGO.png\" />\n    <img src=\"images/TRIO_LOGO.png\" alt=\"TRIO\"/>\n  </picture>\n</a>\n\n<h1><a href=\"https://pytrio.com/\">PyTRIO.skill</a></h1>\n\n\n> 让 Agent 正确使用 PyTRIO 写 SFT、多模态推理与训练、Vision GRPO、GRPO、OPD、Search-R1、ReTool、OPSD、DAPO、GSPO、ALFWorld、自定义损失函数、DPO、推理和实验记录代码。\n\n[![PyTRIO 官网](https://img.shields.io/badge/PyTRIO-官网-fc4547)](https://pytrio.cn/)\n[![PyTRIO Docs](https://img.shields.io/badge/PyTRIO-官方文档-ff6b57)](https://docs.pytrio.cn/docs)\n[![ModelScope Skill](https://img.shields.io/badge/ModelScope-Skill-624aff)](https://www.modelscope.cn/skills/SwanLab/pytrio-skill/summary)\n[![Agent Skill](https://img.shields.io/badge/Agent-Skill-7c3aed)](skills/pytrio-skill/SKILL.md)\n[![Skill Version](https://img.shields.io/badge/Skill-v0.2.1-7c3aed)](skills/pytrio-skill/SKILL.md)\n[![SwanLab](https://img.shields.io/badge/SwanLab-推荐记录工具-1f8f4c)](https://docs.swanlab.cn)\n[![License](https://img.shields.io/badge/License-MIT-d4a017)](LICENSE)\n\n没有本地 GPU？没关系。  \nPyTRIO 把 LLM 后训练丢到云端执行，你只需要写数据、算法和训练循环。\n\n这个 Skill 会让 Claude Code、Codex 等 Agent 先按任务读取 SFT、多模态与 Vision GRPO、GRPO、OPD、Search-R1、ReTool、OPSD、DAPO、GSPO、ALFWorld、Custom Loss、DPO 的本地能力说明，再参考内置示例或完整项目生成代码，避免把 PyTorch / HuggingFace 的习惯误套到 PyTRIO 上。\n\nMedical OPD、Search-R1、OPSD、ReTool、DAPO、GSPO、ALFWorld 和 Vision GRPO 的多文件案例来自 [agentic-rl-lab](https://github.com/KMnO4-zx/agentic-rl-lab)。Skill 保留源码链接与固定 commit 链接，方便在最新版实现和核对版本之间切换。\n\n[安装](#安装) · [内容](#内容) · [示例](#示例) · [SwanLab 记录](#swanlab-记录) · [打包](#打包)\n\n</div>\n\n---\n\n## 安装\n\n推荐使用全局安装方式：\n\n```bash\nnpx skills add SwanHubX/pytrio-skill -g -y\n```\n\n也可以在 ModelScope 查看 skill 页面：https://www.modelscope.cn/skills/SwanLab/pytrio-skill/summary\n\n> 注：`-g` 表示安装到当前用户级别，`-y` 表示跳过交互确认。这个方式不会把 skill 写进当前项目目录；它只会把 skill 下载到用户目录下的 `.agents/skills`，再为 Claude Code、Codex 等支持 Agent Skills 的 CLI 创建软链接。同一","tagline":"Agent Skill for PyTRIO — teach AI coding agents to write correct remote LLM training & inference code","category":"coding-agents","tags":["pytrio","llm-training","agent-skill","claude-code","codex"],"author":"SwanHubX","verified":false,"attribution":{"status":"community_indexed","statusLabel":"Community indexed","shortLabel":"COMMUNITY INDEXED","sourceLabel":"OpenAgentSkill auto-indexer","sourceDetail":"SwanHubX/pytrio-skill","creatorName":"SwanHubX","creatorUrl":"https://github.com/SwanHubX","sourceUrl":"https://github.com/SwanHubX/pytrio-skill","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/swanhubx-pytrio-skill#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":17,"forks":0,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":43.54},"quality":{"score":70,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"17","tone":"neutral"},{"label":"Freshness","value":"12d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["Low GitHub adoption signal"]},"trust":{"version":"trust-score-v5","score":67,"base_score":75,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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issue activity unavailable in current metadata","Production credentials, payments, or irreversible account changes without explicit human review"],"agent_contract":{"task_input":"Use Pytrio Skill in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 75/100 Strong shortlist","Audit: 81/100 Needs review","Safety: 57/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"swanhubx-pytrio-skill (Pytrio Skill)","install_command":"npx skills add SwanHubX/pytrio-skill","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"swanhubx-pytrio-skill","task":"Use Pytrio Skill in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/swanhubx-pytrio-skill","api":"https://www.openagentskill.com/api/agent/skills/swanhubx-pytrio-skill","audit":"https://www.openagentskill.com/skills/swanhubx-pytrio-skill/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=swanhubx-pytrio-skill&task=Use%20Pytrio%20Skill%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20Pytrio%20Skill%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20Pytrio%20Skill%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/swanhubx-pytrio-skill/install","manifest":"https://www.openagentskill.com/api/registry/manifest/swanhubx-pytrio-skill"}},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer agents","shortLabel":"Coding","description":"Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills."},"scenario":{"label":"Coding agents","description":"I need a coding agent that can understand a repository, edit code, and review pull requests.","useCases":[{"slug":"coding-agents","title":"Coding agents"},{"slug":"research-agents","title":"Research agents"},{"slug":"multimodal-media","title":"Multimodal media"}]},"applicableAgents":["Claude Code","OpenAI Agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add SwanHubX/pytrio-skill","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":17,"starsLabel":"17","forks":0,"license":"MIT","qualityScore":70,"trustScore":75,"auditScore":81},"maintenance":{"status":"fresh","label":"12d since push","daysSincePush":12,"lastPushedAt":"2026-08-11T05:42:46+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 17 GitHub stars","Stars/forks activity: 17 stars, 0 forks; issue activity unavailable in current metadata","Needs review"]},"coverageTags":["Coding","Coding agents","coding-agents","pytrio","llm-training","agent-skill","claude-code","codex"]},"audit":{"audit_score":81,"risk_level":"needs_review","risk_label":"Needs review","quality_score":70,"trust_score":75,"maintenance_score":100,"security_score":84,"install_score":92,"warnings":["Low GitHub adoption signal","Quality score needs review","GitHub adoption: 17 GitHub stars","Stars/forks activity: 17 stars, 0 forks; issue activity unavailable in current metadata"]},"quality_signals":{"model":"v2","star_score":8.79,"usage_score":0,"review_score":12.75,"metadata_score":7,"freshness_score":15},"platforms":["Python","Claude Code","OpenAI Agents"],"use_cases":[{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"multimodal-media","title":"Multimodal media","url":"https://www.openagentskill.com/use-cases/multimodal-media"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"stacks":[{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"}],"install":"npx skills add SwanHubX/pytrio-skill","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install swanhubx-pytrio-skill","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"Pytrio Skill\" agent skill from https://github.com/SwanHubX/pytrio-skill. 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 packaged SKILL.md that teaches AI coding agents to write correct PyTRIO remote LLM training and inference code, with examples for SFT, GRPO, DPO, and more. 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\":\"swanhubx-pytrio-skill\",\"task\":\"Install Pytrio Skill\",\"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.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"Pytrio Skill\" as a Claude Code skill from https://github.com/SwanHubX/pytrio-skill. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: A packaged SKILL.md that teaches AI coding agents to write correct PyTRIO remote LLM training and inference code, with examples for SFT, GRPO, DPO, and more. 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\":\"swanhubx-pytrio-skill\",\"task\":\"Install Pytrio Skill\",\"agent\":\"claude-code\",\"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.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"Pytrio Skill\" from https://github.com/SwanHubX/pytrio-skill into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: A packaged SKILL.md that teaches AI coding agents to write correct PyTRIO remote LLM training and inference code, with examples for SFT, GRPO, DPO, and more. 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\":\"swanhubx-pytrio-skill\",\"task\":\"Install Pytrio Skill\",\"agent\":\"cursor\",\"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.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/SwanHubX/pytrio-skill","github_repo":"SwanHubX/pytrio-skill","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/swanhubx-pytrio-skill","repository":"https://github.com/SwanHubX/pytrio-skill","api":"/api/agent/skills/swanhubx-pytrio-skill","install_api":"/api/skills/swanhubx-pytrio-skill/install"},"meta":{"created_at":"2026-08-11T06:35:35.418175+00:00","updated_at":"2026-08-18T17:22:21.819119+00:00","agent_friendly":true}}