{"eval":{"version":"openagentskill-skill-eval-v1","slug":"pandaxgo-pandax","name":"PandaX","generated_at":"2026-07-04T04:35:01.705Z","task_input":"Evaluate PandaX before installing it in an AI agent workflow","status":"review","score":77,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Require human approval before installing into a real workspace.","auto_install_allowed":false,"policy":"review","human_review_required":true},"task_fit":{"score":94,"suited_tasks":["Sports analytics workflows","Claude Code teams","builders willing to evaluate younger projects","Load football datasets","Compare teams and players","Explain match and tournament signals","Inspect source files","Explain architecture"],"suited_agents":["Go","IoT","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"]},"install":{"command":"npx skills add PandaXGO/PandaX","ready":true,"policy":"review","safety_label":"Review before install","targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx skills add PandaXGO/PandaX"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"PandaX\" agent skill from https://github.com/PandaXGO/PandaX. 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: 🎉🔥PandaX是Go语言开源的企业级物联网平台低代码开发基座，基于go-restful+Vue3.0+TypeScript+vite3+element-Plus的前后端分离开发。支持设备管控，规则链，云组态，可视化大屏，报表设计器，表单设计器，代码生成器等功能。能帮助你快速建立IOT物联网平台等相关业务系统。"},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"PandaX\" as a Claude Code skill from https://github.com/PandaXGO/PandaX. 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: 🎉🔥PandaX是Go语言开源的企业级物联网平台低代码开发基座，基于go-restful+Vue3.0+TypeScript+vite3+element-Plus的前后端分离开发。支持设备管控，规则链，云组态，可视化大屏，报表设计器，表单设计器，代码生成器等功能。能帮助你快速建立IOT物联网平台等相关业务系统。"},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"PandaX\" from https://github.com/PandaXGO/PandaX 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: 🎉🔥PandaX是Go语言开源的企业级物联网平台低代码开发基座，基于go-restful+Vue3.0+TypeScript+vite3+element-Plus的前后端分离开发。支持设备管控，规则链，云组态，可视化大屏，报表设计器，表单设计器，代码生成器等功能。能帮助你快速建立IOT物联网平台等相关业务系统。"}]},"trust":{"score":79,"label":"Strong shortlist","version":"trust-score-v4","evidence":{"stars":"450 GitHub stars","repoActivity":"450 stars, 99 forks","lastPushed":"6mo since push","license":"AGPL-3.0","repository":"https://github.com/PandaXGO/PandaX","install":"npx skills add PandaXGO/PandaX","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"}},"audit":{"score":80,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Quality score needs review"]},"safety_gate":{"score":64,"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","blocked":false,"permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["Quality score needs review"]},"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate PandaX before installing it in an AI agent workflow","robotics-iot","Sports analytics workflows; Claude Code teams; builders willing to evaluate younger projects"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add PandaXGO/PandaX"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add PandaXGO/PandaX"]},{"id":"trust_score","label":"Trust score","status":"warn","score":79,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","450 GitHub stars","AGPL-3.0"]},{"id":"audit_score","label":"Audit score","status":"warn","score":80,"required_for_auto_install":true,"detail":"Needs review","evidence":["Quality score needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":64,"required_for_auto_install":true,"detail":"Usable candidate, but the agent should surface permission and audit notes before installation.","evidence":["Require human approval before installing into a real workspace.","Quality score needs review"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":90,"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":"AGPL-3.0","evidence":["AGPL-3.0"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"warn","score":76,"required_for_auto_install":false,"detail":"6mo since push","evidence":["6mo since push"]},{"id":"permission_surface","label":"Permission surface","status":"pass","score":86,"required_for_auto_install":true,"detail":"filesystem or document access","evidence":["Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"pass","score":82,"required_for_auto_install":false,"detail":"Alternative skills are available for comparison.","evidence":["mayocream-koharu","henryndubuaku-maths-cs-ai-compendium","ceres-solver-ceres-solver","pinto0309-pinto-model-zoo"]}],"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Usable candidate, but the agent should surface permission and audit notes before installation.","Recent maintenance: 6mo since push","Quality score needs review"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No major risk signals from current metadata","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","production agents without a sandbox test and repository review"],"alternatives":[{"slug":"mayocream-koharu","name":"Koharu","url":"https://www.openagentskill.com/skills/mayocream-koharu","stars":4669,"install_command":"npx skills add mayocream/koharu","trust_score":89,"audit_score":94},{"slug":"henryndubuaku-maths-cs-ai-compendium","name":"Maths Cs AI Compendium","url":"https://www.openagentskill.com/skills/henryndubuaku-maths-cs-ai-compendium","stars":4528,"install_command":"npx skills add HenryNdubuaku/maths-cs-ai-compendium","trust_score":89,"audit_score":94},{"slug":"ceres-solver-ceres-solver","name":"Ceres Solver","url":"https://www.openagentskill.com/skills/ceres-solver-ceres-solver","stars":4503,"install_command":"npx skills add ceres-solver/ceres-solver","trust_score":86,"audit_score":91},{"slug":"pinto0309-pinto-model-zoo","name":"PINTO Model Zoo","url":"https://www.openagentskill.com/skills/pinto0309-pinto-model-zoo","stars":4445,"install_command":"npx skills add PINTO0309/PINTO_model_zoo","trust_score":91,"audit_score":94}],"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"pandaxgo-pandax","name":"PandaX","description":"🎉🔥PandaX是Go语言开源的企业级物联网平台低代码开发基座，基于go-restful+Vue3.0+TypeScript+vite3+element-Plus的前后端分离开发。支持设备管控，规则链，云组态，可视化大屏，报表设计器，表单设计器，代码生成器等功能。能帮助你快速建立IOT物联网平台等相关业务系统。","category":"robotics-iot","url":"https://www.openagentskill.com/skills/pandaxgo-pandax","repository":"https://github.com/PandaXGO/PandaX","github_repo":"PandaXGO/PandaX"},"suited_tasks":["Sports analytics workflows","Claude Code teams","builders willing to evaluate younger projects","Load football datasets","Compare teams and players","Explain match and tournament signals","Inspect source files","Explain architecture"],"suited_agents":["Go","IoT","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add PandaXGO/PandaX","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx skills add PandaXGO/PandaX"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"PandaX\" agent skill from https://github.com/PandaXGO/PandaX. 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: 🎉🔥PandaX是Go语言开源的企业级物联网平台低代码开发基座，基于go-restful+Vue3.0+TypeScript+vite3+element-Plus的前后端分离开发。支持设备管控，规则链，云组态，可视化大屏，报表设计器，表单设计器，代码生成器等功能。能帮助你快速建立IOT物联网平台等相关业务系统。"},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"PandaX\" as a Claude Code skill from https://github.com/PandaXGO/PandaX. 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: 🎉🔥PandaX是Go语言开源的企业级物联网平台低代码开发基座，基于go-restful+Vue3.0+TypeScript+vite3+element-Plus的前后端分离开发。支持设备管控，规则链，云组态，可视化大屏，报表设计器，表单设计器，代码生成器等功能。能帮助你快速建立IOT物联网平台等相关业务系统。"},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"PandaX\" from https://github.com/PandaXGO/PandaX 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: 🎉🔥PandaX是Go语言开源的企业级物联网平台低代码开发基座，基于go-restful+Vue3.0+TypeScript+vite3+element-Plus的前后端分离开发。支持设备管控，规则链，云组态，可视化大屏，报表设计器，表单设计器，代码生成器等功能。能帮助你快速建立IOT物联网平台等相关业务系统。"}],"handoff_url":"https://www.openagentskill.com/api/skills/pandaxgo-pandax/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/pandaxgo-pandax"},"trust":{"score":79,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"450 GitHub stars","repoActivity":"450 stars, 99 forks","lastPushed":"6mo since push","license":"AGPL-3.0","repository":"https://github.com/PandaXGO/PandaX","install":"npx skills add PandaXGO/PandaX","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access","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":["robotics-iot","iot","automation","admin","go-admin","iot-platform"],"known_risks":["Quality score needs review"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. 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":["Quality score needs review"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":74,"label":"Strong"},"supply":{"track":"Coding and developer agents","scenario":"Coding agents","maintenance":"6mo since push","risk":"Needs review"},"alternative_skills":[{"slug":"mayocream-koharu","name":"Koharu","url":"https://www.openagentskill.com/skills/mayocream-koharu","stars":4669,"install_command":"npx skills add mayocream/koharu","trust_score":89,"audit_score":94},{"slug":"henryndubuaku-maths-cs-ai-compendium","name":"Maths Cs AI Compendium","url":"https://www.openagentskill.com/skills/henryndubuaku-maths-cs-ai-compendium","stars":4528,"install_command":"npx skills add HenryNdubuaku/maths-cs-ai-compendium","trust_score":89,"audit_score":94},{"slug":"ceres-solver-ceres-solver","name":"Ceres Solver","url":"https://www.openagentskill.com/skills/ceres-solver-ceres-solver","stars":4503,"install_command":"npx skills add ceres-solver/ceres-solver","trust_score":86,"audit_score":91},{"slug":"pinto0309-pinto-model-zoo","name":"PINTO Model Zoo","url":"https://www.openagentskill.com/skills/pinto0309-pinto-model-zoo","stars":4445,"install_command":"npx skills add PINTO0309/PINTO_model_zoo","trust_score":91,"audit_score":94}],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No major risk signals from current metadata","Quality score needs review","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","production agents without a sandbox test and repository review"],"agent_contract":{"task_input":"Evaluate PandaX before installing it in an AI agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 79/100 Strong shortlist","Audit: 80/100 Needs review","Safety: 64/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"pandaxgo-pandax (PandaX)","install_command":"npx skills add PandaXGO/PandaX","risk_summary":"Needs review; Reviewed with permission notes; 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":"pandaxgo-pandax","task":"Evaluate PandaX before installing it in an AI 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/pandaxgo-pandax","api":"https://www.openagentskill.com/api/agent/skills/pandaxgo-pandax","audit":"https://www.openagentskill.com/skills/pandaxgo-pandax/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=pandaxgo-pandax&task=Evaluate%20PandaX%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20PandaX%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Evaluate%20PandaX%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/pandaxgo-pandax/install","manifest":"https://www.openagentskill.com/api/registry/manifest/pandaxgo-pandax"}},"endpoints":{"web":"https://www.openagentskill.com/skills/pandaxgo-pandax","api":"https://www.openagentskill.com/api/agent/skills/pandaxgo-pandax","eval":"https://www.openagentskill.com/api/agent/evals?slug=pandaxgo-pandax","audit":"https://www.openagentskill.com/skills/pandaxgo-pandax/audit","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20PandaX%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium"}},"meta":{"endpoint":"/api/agent/evals","mode":"skill_eval","purpose":"Pre-install eval contract for a single skill. Agents should read this before installing a reusable skill.","generated_at":"2026-07-04T04:35:01.705Z"}}