{"slug":"dstackai-dstack-prototyping","name":"dstack-prototyping","description":"Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request.","long_description":"---\nname: dstack-prototyping\ndescription: |\n  Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request.\n---\n\n# dstack Prototyping\n\nUse `/dstack` for CLI commands, YAML fields, apply/attach behavior, service URLs,\nand other dstack syntax. This skill explains how to use dstack runs while the\nmodel-serving configuration is still unknown.\n\n## Goal\n\nFind a working dstack service configuration for the requested model.\n\nBefore submitting a service, use a task on real hardware to test the serving\nimage, install/runtime assumptions, model download, cache path, command, port,\nlaunch flags, resources, env vars, backend/fleet choice, and local model\nrequest. Then submit the same configuration as a service and verify the model\nthrough the dstack service URL.\n\n## Choose Where To Run\n\nPick the offer whose hardware best fits the goal at hand. Only when several offers fit comparably, choose a VM-based backend, an SSH fleet, or a Kubernetes fleet: they support idle instances and/or instance volumes, so later runs reuse the provisioned/idle instance or instance volumes for caching model weights (and possibly other writes), while container-based backends start clean on every run.\n\nFetch `https://dstack.ai/docs/concepts/backends.md` and classify backends\nfrom the fetched document, not from memory.\n\n## Check Serving Sources\n\nCheck serving-framework sources early enough to choose the image, command,\nlaunch flags, resources, cache paths, request format, and expected model\nbehavior.\n\nFor vLLM and SGLang, use these as credible sources:\n\n- vLLM recipes and model index: `https://recipes.vllm.ai/` and\n  `https://recipes.vllm.ai/models.json`\n- SGLang docs: `https://docs.sglang.io/` (fetch `/llms.txt` for the page\n  index)\n- SGLang model recipes: `https://docs.sglang.io/cookbook/autoregressive/intro`\n- Release notes: `https://github.com/vllm-project/vllm/releases` and\n  `https://github.com/sgl-project/sglang/releases`\n- Performance-loop methodology (profiling, benchmark contracts):\n  `https://www.lmsys.org/blog/2026-07-02-agent-assisted-sglang-development`\n\n## Use A Task Before Service\n\nBefore submitting a service, start a long-lived task:\n\n```yaml\ncommands:\n  - sleep infinity\n```\n\nor an equivalent idle command.\n\nSubmit the task detached, attach or SSH into it when available, and run commands\ninside the live environment. Test the image, installs, model download and cache\npath, serving command, port, launch flags, local model request, and expected\nmodel behavior.\n\nWhen starting a long-running command in the background from a non-interactive\nSSH command, use `nohup`, redirect stdin from `/dev/null`, and redirect\nstdout/stderr to a log file so the SSH command returns while the process keeps\nrunning. For example (the command can be any long-running command):\n\n```shell\nnohup vllm serve ... </dev/null > /tmp/vllm.log 2>&1 &\n```\n\nIf the image, hardware choice, or major install path changes, submit another\ntask so the changed setup is tested before service verification.\n\nDo not move to a service after checking only GPU visibility, imports, logs, or a\nhealth endpoint. Start the server inside the task and send a request that uses\nthe requested model. For a chat or reasoning model, check the response behavior\nthe endpoint is expected to support, such as reasoning output when that model is\nsupposed to expose it.\n\nFollow `/dstack` structured status guidance when polling task or service status.\nAfter requesting a task or service stop before another submission, wait until\nthat run reaches a terminal status. This allows dstack to reuse its instance or\ninstance volumes when available.\n\n## Verify As A Service\n\nSubmit the service after the task has verified the configuration: image,\ncommand, port, resources, env vars, cache mounts if used, backend/fleet choice,\nand model request.\n\nUse the service as a duplicate check of the same configuration under dstack\nservice runtime. The model request that worked locally in the task must also work\nthrough the dstack service URL.\n\nIf service verification fails because the image, install, model download,\ncommand, resources, cache, or model behavior needs to change, go back to a task.\nIf the tested serving setup is still right and only the dstack service\nconfiguration is wrong, fix the configuration and submit the service again.\n","tagline":"Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/S","category":"research","tags":["agent-skill"],"author":"dstackai","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"dstackai/dstack","creatorName":"dstackai","creatorUrl":"https://github.com/dstackai","sourceUrl":"https://github.com/dstackai/dstack/tree/master/skills/dstack-prototyping","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/dstackai-dstack-prototyping#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. 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Inspect the source, dependencies, and permission surface first.","Metadata combines secrets access with shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MPL-2.0","evidence":["MPL-2.0"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"2d since push","evidence":["2d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":22,"required_for_auto_install":true,"detail":"secrets or environment access, shell or command execution","evidence":["Shell or command execution: high","Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/dstackai-dstack-prototyping/evals","api":"/api/agent/evals?slug=dstackai-dstack-prototyping","text":"/api/agent/evals?slug=dstackai-dstack-prototyping&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"dstackai-dstack-prototyping","name":"dstack-prototyping","description":"Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. 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Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"dstack-prototyping\" as a Claude Code skill from https://github.com/dstackai/dstack/tree/master/skills/dstack-prototyping. 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: Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request. 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\":\"dstackai-dstack-prototyping\",\"task\":\"Install dstack-prototyping\",\"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."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"dstack-prototyping\" from https://github.com/dstackai/dstack/tree/master/skills/dstack-prototyping 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: Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request. 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\":\"dstackai-dstack-prototyping\",\"task\":\"Install dstack-prototyping\",\"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."}],"handoff_url":"https://www.openagentskill.com/api/skills/dstackai-dstack-prototyping/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/dstackai-dstack-prototyping"},"trust":{"score":72,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"2.2K GitHub stars","repoActivity":"2.2K stars, 250 forks","lastPushed":"2d since push","license":"MPL-2.0","repository":"https://github.com/dstackai/dstack/tree/master/skills/dstack-prototyping","install":"npx skills add dstackai/dstack --skill dstack-prototyping","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["The skill does not explicitly advise on checking for malicious or untrusted images/modules when prototyping, though it points to official sources which mitigates risk.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. 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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: Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request. 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\":\"dstackai-dstack-prototyping\",\"task\":\"Install dstack-prototyping\",\"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."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"dstack-prototyping\" as a Claude Code skill from https://github.com/dstackai/dstack/tree/master/skills/dstack-prototyping. 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: Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request. 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Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":80,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","The skill does not explicitly advise on checking for malicious or untrusted images/modules when prototyping, though it points to official sources which mitigates risk.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"quality":{"score":80,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"2d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","The skill does not explicitly advise on checking for malicious or untrusted images/modules when prototyping, though it points to official sources which mitigates risk.","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"],"agent_contract":{"task_input":"Use dstack-prototyping in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 72/100 Strong shortlist","Audit: 80/100 Needs review","Safety: 40/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"dstackai-dstack-prototyping (dstack-prototyping)","install_command":"npx skills add dstackai/dstack --skill dstack-prototyping","risk_summary":"Needs review; Blocked for auto-install; 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":"dstackai-dstack-prototyping","task":"Use dstack-prototyping 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/dstackai-dstack-prototyping","api":"https://www.openagentskill.com/api/agent/skills/dstackai-dstack-prototyping","audit":"https://www.openagentskill.com/skills/dstackai-dstack-prototyping/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=dstackai-dstack-prototyping&task=Use%20dstack-prototyping%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20dstack-prototyping%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20dstack-prototyping%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/dstackai-dstack-prototyping/install","manifest":"https://www.openagentskill.com/api/registry/manifest/dstackai-dstack-prototyping"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"local-desktop","title":"Local desktop"},{"slug":"github-automation","title":"GitHub automation"},{"slug":"browser-automation","title":"Browser automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add dstackai/dstack --skill dstack-prototyping","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":2216,"starsLabel":"2.2K","forks":250,"license":"MPL-2.0","qualityScore":80,"trustScore":72,"auditScore":80},"maintenance":{"status":"fresh","label":"2d since push","daysSincePush":2,"lastPushedAt":"2026-08-21T13:13:04+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","The skill does not explicitly advise on checking for malicious or untrusted images/modules when prototyping, though it points to official sources which mitigates risk.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":80,"risk_level":"needs_review","risk_label":"Needs review","quality_score":80,"trust_score":72,"maintenance_score":100,"security_score":70,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","The skill does not explicitly advise on checking for malicious or untrusted images/modules when prototyping, though it points to official sources which mitigates risk.","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"quality_signals":{"model":"v2","star_score":23.42,"usage_score":0,"review_score":5.25,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"}],"stacks":[{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-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 dstackai/dstack --skill dstack-prototyping","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 dstackai-dstack-prototyping","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 \"dstack-prototyping\" agent skill from https://github.com/dstackai/dstack/tree/master/skills/dstack-prototyping. 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: Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request. 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\":\"dstackai-dstack-prototyping\",\"task\":\"Install dstack-prototyping\",\"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 \"dstack-prototyping\" as a Claude Code skill from https://github.com/dstackai/dstack/tree/master/skills/dstack-prototyping. 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: Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request. 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\":\"dstackai-dstack-prototyping\",\"task\":\"Install dstack-prototyping\",\"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 \"dstack-prototyping\" from https://github.com/dstackai/dstack/tree/master/skills/dstack-prototyping 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: Use with the dstack skill for model-serving work when the image, serving command, resources, backend/fleet choice, or service behavior is not proven. Guides task-first prototyping on real hardware, choosing fleets/backends that can reuse idle instances and caches, checking vLLM/SGLang sources, and verifying the final dstack service with a model request. 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\":\"dstackai-dstack-prototyping\",\"task\":\"Install dstack-prototyping\",\"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/dstackai/dstack/tree/master/skills/dstack-prototyping","github_repo":"dstackai/dstack","version":"1.0.0","license":"MPL-2.0","urls":{"web":"https://www.openagentskill.com/skills/dstackai-dstack-prototyping","repository":"https://github.com/dstackai/dstack/tree/master/skills/dstack-prototyping","api":"/api/agent/skills/dstackai-dstack-prototyping","install_api":"/api/skills/dstackai-dstack-prototyping/install"},"meta":{"created_at":"2026-08-21T13:24:01.212156+00:00","updated_at":"2026-08-21T13:24:01.212156+00:00","agent_friendly":true}}