{"query":"sealeap-amazon-eu-amc-audience","filters":{"category":null,"platform":null,"track":null,"safety":null,"include_blocked":false,"min_stars":0},"total":1,"skills":[{"rank":1,"match_type":"exact","match_score":99,"raw_match_score":910.2,"semantic_relevance":100,"slug":"xjli360-sealeap-amazon-eu-amc-audience","name":"sealeap-amazon-eu-amc-audience","description":"Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval.","tagline":"Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audien","category":"data-analysis","tags":["agent-skill"],"author":{"name":"xjli360","verified":false,"url":"https://github.com/xjli360"},"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"xjli360/sealeap-amazon-ad-skills","creatorName":"xjli360","creatorUrl":"https://github.com/xjli360","sourceUrl":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-eu-amc-audience#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":16,"forks":1,"verified_installs":0,"install_attempts":0,"successful_runs":0,"total_outcomes":0,"downloads":0,"rating":0,"review_count":0,"quality_score":32.01},"quality":{"score":59,"tier":"promising","label":"Promising","summary":"Useful candidate, but compare it with alternatives before adopting.","signals":[{"label":"GitHub stars","value":"16","tone":"neutral"},{"label":"Freshness","value":"Today","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["Low GitHub adoption signal","No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation."]},"trust":{"version":"trust-score-v4","score":69,"tier":"review","label":"Manual review","summary":"Potentially useful, but at least one trust signal needs human inspection.","recommendedAction":"Inspect the repository, license, and recent activity before connecting it to agent workflows.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":30,"weight":0.13,"status":"fail","detail":"16 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":32,"weight":0.08,"status":"fail","detail":"16 stars, 1 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"Pushed today"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":52,"weight":0.14,"status":"warn","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":90,"weight":0.12,"status":"pass","detail":"no major dependency risk hints in public metadata"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":100,"weight":0.07,"status":"pass","detail":"no high-risk permission surface in public metadata"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"fail","label":"GitHub adoption","detail":"16 GitHub stars"},{"status":"fail","label":"Stars/forks activity","detail":"16 stars, 1 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"Pushed today"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"warn","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"pass","label":"Dependency/runtime risk","detail":"no major dependency risk hints in public metadata"},{"status":"pass","label":"Install availability","detail":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"pass","label":"Permission surface","detail":"no high-risk permission surface in public metadata"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Install command has no obvious high-risk pattern"],"warnings":["No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"],"evidence":{"stars":"16 GitHub stars","repoActivity":"16 stars, 1 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience","install":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","Pushed today"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["data-analysis","agent-skill"],"doNotUseFor":["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"],"knownRisks":["No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"safety":{"score":59,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","59/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation."],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","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.","reasons":["No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","59/100 agent safety score"]},"supply_profile":{"track":{"slug":"data","label":"Data, BI, and analytics","shortLabel":"Data","description":"CSV, SQL, notebooks, dashboards, data pipelines, BI, ETL, and spreadsheet analysis."},"scenario":{"label":"Database and SQL","description":"I need my agent to inspect database schemas, write SQL, and explain query results.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"github-automation","title":"GitHub automation"},{"slug":"marketing-growth","title":"Marketing and growth"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":16,"starsLabel":"16","forks":1,"license":"MIT","qualityScore":59,"trustScore":69,"auditScore":75},"maintenance":{"status":"fresh","label":"Pushed today","daysSincePush":0,"lastPushedAt":"2026-08-23T03:07:00+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata"]},"coverageTags":["Data","Database and SQL","data-analysis","agent-skill"]},"audit":{"audit_score":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata"]},"decision":{"readiness_score":58,"readiness_label":"Prototype first","headline":"Fallback candidate for Research agents","role":"Fallback candidate","primary_fit":"Research agents","best_for":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects"],"risks":["Low GitHub adoption signal","No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","No OpenAgentSkill engagement data yet"],"next_steps":["Install it in a sandbox agent and run one Research agents task end to end.","Compare output quality, latency, and failure behavior against at least one alternative.","Promote it into production only after reviewing repository permissions, license, and maintenance signals."]},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"xjli360-sealeap-amazon-eu-amc-audience","name":"sealeap-amazon-eu-amc-audience","description":"Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval.","category":"data-analysis","url":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-eu-amc-audience","repository":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience","github_repo":"xjli360/sealeap-amazon-ad-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Inspect repository metadata","Compare code changes"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install xjli360-sealeap-amazon-eu-amc-audience"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"sealeap-amazon-eu-amc-audience\" agent skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience. 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: Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval. 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\":\"xjli360-sealeap-amazon-eu-amc-audience\",\"task\":\"Install sealeap-amazon-eu-amc-audience\",\"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 \"sealeap-amazon-eu-amc-audience\" as a Claude Code skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience. 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: Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval. 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\":\"xjli360-sealeap-amazon-eu-amc-audience\",\"task\":\"Install sealeap-amazon-eu-amc-audience\",\"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 \"sealeap-amazon-eu-amc-audience\" from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience 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: Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval. 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\":\"xjli360-sealeap-amazon-eu-amc-audience\",\"task\":\"Install sealeap-amazon-eu-amc-audience\",\"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/xjli360-sealeap-amazon-eu-amc-audience/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/xjli360-sealeap-amazon-eu-amc-audience"},"trust":{"score":69,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"16 GitHub stars","repoActivity":"16 stars, 1 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience","install":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","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":["data-analysis","agent-skill"],"known_risks":["No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"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":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"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":59,"label":"Promising"},"supply":{"track":"Data, BI, and analytics","scenario":"Database and SQL","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","No OpenAgentSkill engagement data yet","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata"],"agent_contract":{"task_input":"Use sealeap-amazon-eu-amc-audience in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 69/100 Manual review","Audit: 75/100 Needs review","Safety: 59/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"xjli360-sealeap-amazon-eu-amc-audience (sealeap-amazon-eu-amc-audience)","install_command":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience","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":"xjli360-sealeap-amazon-eu-amc-audience","task":"Use sealeap-amazon-eu-amc-audience 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/xjli360-sealeap-amazon-eu-amc-audience","api":"https://www.openagentskill.com/api/agent/skills/xjli360-sealeap-amazon-eu-amc-audience","audit":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-eu-amc-audience/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=xjli360-sealeap-amazon-eu-amc-audience&task=Use%20sealeap-amazon-eu-amc-audience%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20sealeap-amazon-eu-amc-audience%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20sealeap-amazon-eu-amc-audience%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/xjli360-sealeap-amazon-eu-amc-audience/install","manifest":"https://www.openagentskill.com/api/registry/manifest/xjli360-sealeap-amazon-eu-amc-audience"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"xjli360-sealeap-amazon-eu-amc-audience","name":"sealeap-amazon-eu-amc-audience","description":"Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval.","category":"data-analysis","url":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-eu-amc-audience","repository":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience","github_repo":"xjli360/sealeap-amazon-ad-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","builders willing to evaluate younger projects","Search sources","Extract claims","Synthesize findings","Inspect repository metadata","Compare code changes"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install xjli360-sealeap-amazon-eu-amc-audience"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"sealeap-amazon-eu-amc-audience\" agent skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience. 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: Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval. 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\":\"xjli360-sealeap-amazon-eu-amc-audience\",\"task\":\"Install sealeap-amazon-eu-amc-audience\",\"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 \"sealeap-amazon-eu-amc-audience\" as a Claude Code skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience. 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: Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval. 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\":\"xjli360-sealeap-amazon-eu-amc-audience\",\"task\":\"Install sealeap-amazon-eu-amc-audience\",\"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 \"sealeap-amazon-eu-amc-audience\" from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience 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: Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval. 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\":\"xjli360-sealeap-amazon-eu-amc-audience\",\"task\":\"Install sealeap-amazon-eu-amc-audience\",\"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/xjli360-sealeap-amazon-eu-amc-audience/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/xjli360-sealeap-amazon-eu-amc-audience"},"trust":{"score":69,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"16 GitHub stars","repoActivity":"16 stars, 1 forks","lastPushed":"Pushed today","license":"MIT","repository":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience","install":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience","installSafety":"standard package or runtime install path","permissionSurface":"no high-risk permission surface in public metadata","documentation":"Thin public metadata","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":["data-analysis","agent-skill"],"known_risks":["No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"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":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","Low GitHub adoption signal","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context"]},"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":59,"label":"Promising"},"supply":{"track":"Data, BI, and analytics","scenario":"Database and SQL","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","No critical issues found. The skill enforces read-only analysis by default, prohibits user-level data exposure, and requires explicit human approval before any mutation.","No OpenAgentSkill engagement data yet","Quality score needs review","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata"],"agent_contract":{"task_input":"Use sealeap-amazon-eu-amc-audience in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 69/100 Manual review","Audit: 75/100 Needs review","Safety: 59/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"xjli360-sealeap-amazon-eu-amc-audience (sealeap-amazon-eu-amc-audience)","install_command":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience","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":"xjli360-sealeap-amazon-eu-amc-audience","task":"Use sealeap-amazon-eu-amc-audience 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/xjli360-sealeap-amazon-eu-amc-audience","api":"https://www.openagentskill.com/api/agent/skills/xjli360-sealeap-amazon-eu-amc-audience","audit":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-eu-amc-audience/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=xjli360-sealeap-amazon-eu-amc-audience&task=Use%20sealeap-amazon-eu-amc-audience%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20sealeap-amazon-eu-amc-audience%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20sealeap-amazon-eu-amc-audience%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/xjli360-sealeap-amazon-eu-amc-audience/install","manifest":"https://www.openagentskill.com/api/registry/manifest/xjli360-sealeap-amazon-eu-amc-audience"}},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"marketing-growth","title":"Marketing and growth","url":"https://www.openagentskill.com/use-cases/marketing-growth"},{"slug":"database-sql","title":"Database and SQL","url":"https://www.openagentskill.com/use-cases/database-sql"}],"install":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-eu-amc-audience","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 xjli360-sealeap-amazon-eu-amc-audience","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 \"sealeap-amazon-eu-amc-audience\" agent skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience. 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: Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval. 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\":\"xjli360-sealeap-amazon-eu-amc-audience\",\"task\":\"Install sealeap-amazon-eu-amc-audience\",\"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 \"sealeap-amazon-eu-amc-audience\" as a Claude Code skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience. 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: Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval. 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\":\"xjli360-sealeap-amazon-eu-amc-audience\",\"task\":\"Install sealeap-amazon-eu-amc-audience\",\"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 \"sealeap-amazon-eu-amc-audience\" from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience 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: Diagnose and plan Amazon Marketing Cloud (AMC) analytics and audience activation for European Amazon Ads accounts, including journey/path analysis, time to conversion, reach and frequency, ad-type overlap, new-to-brand, rule-based and lookalike audiences, seasonal off-peak audiences, and SP/SB/SD/DSP activation. Use for 欧洲站 AMC, 亚马逊营销云, AMC 人群包, 潮汐人群, 转化路径, 广告叠加, DSP+AMC, 购买转化周期, 新客分析, 受众竞价加成, AMC query/use case selection, 或把《欧洲转化破局》材料转为可审批的数据与投放方案. Default to read-only analysis and draft actions; never expose user-level data or mutate campaigns/audiences without verified scope and explicit human approval. 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\":\"xjli360-sealeap-amazon-eu-amc-audience\",\"task\":\"Install sealeap-amazon-eu-amc-audience\",\"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/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience","github_repo":"xjli360/sealeap-amazon-ad-skills","version":"1.0.0","license":"MIT","updated_at":"2026-08-23T03:36:22.722953+00:00","canonical_key":"xjli360/sealeap-amazon-ad-skills#sealeap-amazon-eu-amc-audience","recommendation_reasons":["Matches task terms: sealeap, amazon, amc, audience","Install handoff is available","Repository freshness signal is available","Registry match score 99"],"urls":{"web":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-eu-amc-audience","api":"https://www.openagentskill.com/api/agent/skills/xjli360-sealeap-amazon-eu-amc-audience","install_api":"https://www.openagentskill.com/api/skills/xjli360-sealeap-amazon-eu-amc-audience/install","audit":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-eu-amc-audience/audit","repository":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-eu-amc-audience"}}],"meta":{"endpoint":"/api/skills/search","canonical_agent_endpoint":"/api/agent/resolve","lookup_intent":true,"exact_match_found":true,"match_counts":{"exact":1,"near":0,"related":0},"no_match_message":null,"safety_policy":"Blocked candidates are excluded by default. Pass include_blocked=true only for manual audit workflows.","agent_friendly":true,"api_version":"1.0","generated_at":"2026-08-23T08:21:56.355Z"}}