{"eval":{"version":"openagentskill-skill-eval-v1","slug":"xjli360-sealeap-amazon-product-targeting","name":"sealeap-amazon-product-targeting","generated_at":"2026-08-24T00:37:56.070Z","task_input":"Evaluate sealeap-amazon-product-targeting before installing it in an AI agent workflow","status":"failed","score":65,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: shell or command execution, filesystem or document access","auto_install_allowed":false,"policy":"block","human_review_required":true},"task_fit":{"score":84,"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-product-targeting","ready":true,"policy":"review","safety_label":"Avoid automatic install","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-product-targeting"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"sealeap-amazon-product-targeting\" agent skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-product-targeting. 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: Research, diagnose, and draft Amazon Ads ASIN and category product-targeting plans that complement keyword targeting, including audience expansion, competitor and category traffic, cross-sell, upsell, self-defense, negative targeting, placement analysis, and single-variable experiments. Use for 商品投放, ASIN 定向, 品类定向, Product Targeting, 关键词引流遇到瓶颈, 关联流量, 互补品/替代品, 竞品详情页抢流量, 自家 ASIN 防御, Best Sellers/New Releases 候选, 自动与手动广告联动, or the local file named 如何提升关键词引流效率. Default to research and draft; verify current marketplace capabilities and never mutate live campaigns without 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-product-targeting\",\"task\":\"Install sealeap-amazon-product-targeting\",\"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-product-targeting\" as a Claude Code skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-product-targeting. 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: Research, diagnose, and draft Amazon Ads ASIN and category product-targeting plans that complement keyword targeting, including audience expansion, competitor and category traffic, cross-sell, upsell, self-defense, negative targeting, placement analysis, and single-variable experiments. Use for 商品投放, ASIN 定向, 品类定向, Product Targeting, 关键词引流遇到瓶颈, 关联流量, 互补品/替代品, 竞品详情页抢流量, 自家 ASIN 防御, Best Sellers/New Releases 候选, 自动与手动广告联动, or the local file named 如何提升关键词引流效率. Default to research and draft; verify current marketplace capabilities and never mutate live campaigns without 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-product-targeting\",\"task\":\"Install sealeap-amazon-product-targeting\",\"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-product-targeting\" from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-product-targeting 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: Research, diagnose, and draft Amazon Ads ASIN and category product-targeting plans that complement keyword targeting, including audience expansion, competitor and category traffic, cross-sell, upsell, self-defense, negative targeting, placement analysis, and single-variable experiments. Use for 商品投放, ASIN 定向, 品类定向, Product Targeting, 关键词引流遇到瓶颈, 关联流量, 互补品/替代品, 竞品详情页抢流量, 自家 ASIN 防御, Best Sellers/New Releases 候选, 自动与手动广告联动, or the local file named 如何提升关键词引流效率. Default to research and draft; verify current marketplace capabilities and never mutate live campaigns without 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-product-targeting\",\"task\":\"Install sealeap-amazon-product-targeting\",\"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."}]},"trust":{"score":71,"label":"Manual review","version":"trust-score-v4","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-product-targeting","install":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-product-targeting","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"}},"audit":{"score":75,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"score":43,"tier":"experimental","label":"Experimental","auto_install_policy":"review","blocked":false,"permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"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"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Permission surface may require sandboxing"]},"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate sealeap-amazon-product-targeting before installing it in an AI agent workflow","research","Research agents 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 xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-product-targeting"]},{"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 xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-product-targeting"]},{"id":"trust_score","label":"Trust score","status":"warn","score":71,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","16 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":75,"required_for_auto_install":true,"detail":"Needs review","evidence":["Permission surface may require sandboxing"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":43,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: 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":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"Pushed today","evidence":["Pushed today"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":48,"required_for_auto_install":true,"detail":"shell or command execution, filesystem or document access","evidence":["Shell or command execution: high","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":["mvanhorn-last30days-skill","imbad0202-academic-research-skills","assafelovic-gpt-researcher","alibaba-nlp-deepresearch"]}],"blockers":["Permission surface: shell or command execution, filesystem or document access"],"warnings":["Trust score: Potentially useful, but at least one trust signal needs human inspection.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"],"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","production agents without a repository review","Low GitHub adoption signal","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","GitHub adoption: 16 GitHub stars"],"alternatives":[{"slug":"mvanhorn-last30days-skill","name":"Last30days Skill","url":"https://www.openagentskill.com/skills/mvanhorn-last30days-skill","stars":53509,"install_command":"npx skills add mvanhorn/last30days-skill -g","trust_score":93,"audit_score":95},{"slug":"imbad0202-academic-research-skills","name":"Academic Research Skills","url":"https://www.openagentskill.com/skills/imbad0202-academic-research-skills","stars":38374,"install_command":"npx skills add Imbad0202/academic-research-skills","trust_score":89,"audit_score":91},{"slug":"assafelovic-gpt-researcher","name":"GPT Researcher","url":"https://www.openagentskill.com/skills/assafelovic-gpt-researcher","stars":27966,"install_command":"npx skills add assafelovic/gpt-researcher","trust_score":85,"audit_score":90},{"slug":"alibaba-nlp-deepresearch","name":"DeepResearch","url":"https://www.openagentskill.com/skills/alibaba-nlp-deepresearch","stars":19832,"install_command":"npx skills add Alibaba-NLP/DeepResearch","trust_score":89,"audit_score":90}],"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"xjli360-sealeap-amazon-product-targeting","name":"sealeap-amazon-product-targeting","description":"Research, diagnose, and draft Amazon Ads ASIN and category product-targeting plans that complement keyword targeting, including audience expansion, competitor and category traffic, cross-sell, upsell, self-defense, negative targeting, placement analysis, and single-variable experiments. Use for 商品投放, ASIN 定向, 品类定向, Product Targeting, 关键词引流遇到瓶颈, 关联流量, 互补品/替代品, 竞品详情页抢流量, 自家 ASIN 防御, Best Sellers/New Releases 候选, 自动与手动广告联动, or the local file named 如何提升关键词引流效率. Default to research and draft; verify current marketplace capabilities and never mutate live campaigns without explicit human approval.","category":"research","url":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-product-targeting","repository":"https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-product-targeting","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-product-targeting","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-product-targeting"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"sealeap-amazon-product-targeting\" agent skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-product-targeting. 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: Research, diagnose, and draft Amazon Ads ASIN and category product-targeting plans that complement keyword targeting, including audience expansion, competitor and category traffic, cross-sell, upsell, self-defense, negative targeting, placement analysis, and single-variable experiments. Use for 商品投放, ASIN 定向, 品类定向, Product Targeting, 关键词引流遇到瓶颈, 关联流量, 互补品/替代品, 竞品详情页抢流量, 自家 ASIN 防御, Best Sellers/New Releases 候选, 自动与手动广告联动, or the local file named 如何提升关键词引流效率. Default to research and draft; verify current marketplace capabilities and never mutate live campaigns without 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-product-targeting\",\"task\":\"Install sealeap-amazon-product-targeting\",\"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-product-targeting\" as a Claude Code skill from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-product-targeting. 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: Research, diagnose, and draft Amazon Ads ASIN and category product-targeting plans that complement keyword targeting, including audience expansion, competitor and category traffic, cross-sell, upsell, self-defense, negative targeting, placement analysis, and single-variable experiments. Use for 商品投放, ASIN 定向, 品类定向, Product Targeting, 关键词引流遇到瓶颈, 关联流量, 互补品/替代品, 竞品详情页抢流量, 自家 ASIN 防御, Best Sellers/New Releases 候选, 自动与手动广告联动, or the local file named 如何提升关键词引流效率. Default to research and draft; verify current marketplace capabilities and never mutate live campaigns without 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-product-targeting\",\"task\":\"Install sealeap-amazon-product-targeting\",\"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-product-targeting\" from https://github.com/xjli360/sealeap-amazon-ad-skills/tree/main/sealeap-amazon-product-targeting 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: Research, diagnose, and draft Amazon Ads ASIN and category product-targeting plans that complement keyword targeting, including audience expansion, competitor and category traffic, cross-sell, upsell, self-defense, negative targeting, placement analysis, and single-variable experiments. Use for 商品投放, ASIN 定向, 品类定向, Product Targeting, 关键词引流遇到瓶颈, 关联流量, 互补品/替代品, 竞品详情页抢流量, 自家 ASIN 防御, Best Sellers/New Releases 候选, 自动与手动广告联动, or the local file named 如何提升关键词引流效率. Default to research and draft; verify current marketplace capabilities and never mutate live campaigns without 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-product-targeting\",\"task\":\"Install sealeap-amazon-product-targeting\",\"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-product-targeting/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/xjli360-sealeap-amazon-product-targeting"},"trust":{"score":71,"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-product-targeting","install":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-product-targeting","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, 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":["research","agent-skill"],"known_risks":["Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"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":["Permission surface may require sandboxing","Low GitHub adoption signal","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","GitHub adoption: 16 GitHub stars","Stars/forks activity: 16 stars, 1 forks; issue activity unavailable in current metadata","Permission surface: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":59,"label":"Promising"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"Pushed today","risk":"Needs review"},"alternative_skills":[{"slug":"mvanhorn-last30days-skill","name":"Last30days Skill","url":"https://www.openagentskill.com/skills/mvanhorn-last30days-skill","stars":53509,"install_command":"npx skills add mvanhorn/last30days-skill -g","trust_score":93,"audit_score":95},{"slug":"imbad0202-academic-research-skills","name":"Academic Research Skills","url":"https://www.openagentskill.com/skills/imbad0202-academic-research-skills","stars":38374,"install_command":"npx skills add Imbad0202/academic-research-skills","trust_score":89,"audit_score":91},{"slug":"assafelovic-gpt-researcher","name":"GPT Researcher","url":"https://www.openagentskill.com/skills/assafelovic-gpt-researcher","stars":27966,"install_command":"npx skills add assafelovic/gpt-researcher","trust_score":85,"audit_score":90},{"slug":"alibaba-nlp-deepresearch","name":"DeepResearch","url":"https://www.openagentskill.com/skills/alibaba-nlp-deepresearch","stars":19832,"install_command":"npx skills add Alibaba-NLP/DeepResearch","trust_score":89,"audit_score":90}],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","Low GitHub adoption signal","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","GitHub adoption: 16 GitHub stars"],"agent_contract":{"task_input":"Evaluate sealeap-amazon-product-targeting before installing it in an AI agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 71/100 Manual review","Audit: 75/100 Needs review","Safety: 43/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"xjli360-sealeap-amazon-product-targeting (sealeap-amazon-product-targeting)","install_command":"npx skills add xjli360/sealeap-amazon-ad-skills --skill sealeap-amazon-product-targeting","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"xjli360-sealeap-amazon-product-targeting","task":"Evaluate sealeap-amazon-product-targeting 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/xjli360-sealeap-amazon-product-targeting","api":"https://www.openagentskill.com/api/agent/skills/xjli360-sealeap-amazon-product-targeting","audit":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-product-targeting/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=xjli360-sealeap-amazon-product-targeting&task=Evaluate%20sealeap-amazon-product-targeting%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20sealeap-amazon-product-targeting%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Evaluate%20sealeap-amazon-product-targeting%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/xjli360-sealeap-amazon-product-targeting/install","manifest":"https://www.openagentskill.com/api/registry/manifest/xjli360-sealeap-amazon-product-targeting"}},"endpoints":{"web":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-product-targeting","api":"https://www.openagentskill.com/api/agent/skills/xjli360-sealeap-amazon-product-targeting","eval":"https://www.openagentskill.com/api/agent/evals?slug=xjli360-sealeap-amazon-product-targeting","audit":"https://www.openagentskill.com/skills/xjli360-sealeap-amazon-product-targeting/audit","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20sealeap-amazon-product-targeting%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":"2026-08-24T00:37:56.070Z"}}