{"eval":{"version":"openagentskill-skill-eval-v1","slug":"ammarmahmood1999-hearthealthprediction","name":"HeartHealthPrediction","generated_at":"2026-08-23T18:09:48.449Z","task_input":"Evaluate HeartHealthPrediction before installing it in an AI agent workflow","status":"review","score":58,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Test manually in an isolated workspace and compare against safer alternatives.","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 repository metadata","Compare code changes"],"suited_agents":["Jupyter Notebook","Health Data","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"]},"install":{"command":"npx skills add ammarmahmood1999/HeartHealthPrediction","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 ammarmahmood1999-hearthealthprediction"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"HeartHealthPrediction\" agent skill from https://github.com/ammarmahmood1999/HeartHealthPrediction. 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: The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set 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\":\"ammarmahmood1999-hearthealthprediction\",\"task\":\"Install HeartHealthPrediction\",\"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 \"HeartHealthPrediction\" as a Claude Code skill from https://github.com/ammarmahmood1999/HeartHealthPrediction. 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: The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set 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\":\"ammarmahmood1999-hearthealthprediction\",\"task\":\"Install HeartHealthPrediction\",\"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 \"HeartHealthPrediction\" from https://github.com/ammarmahmood1999/HeartHealthPrediction 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: The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set 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\":\"ammarmahmood1999-hearthealthprediction\",\"task\":\"Install HeartHealthPrediction\",\"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":69,"label":"Manual review","version":"trust-score-v4","evidence":{"stars":"112 GitHub stars","repoActivity":"112 stars, 94 forks","lastPushed":"2y since push","license":"Unknown","repository":"https://github.com/ammarmahmood1999/HeartHealthPrediction","install":"npx skills add ammarmahmood1999/HeartHealthPrediction","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":59,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","Repository appears stale","Financial research output is not financial advice; require human review before any live investment decision","Repository looks stale","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Recent maintenance: 2y since push","License clarity: Unknown"]},"safety_gate":{"score":43,"tier":"experimental","label":"Experimental","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":["License is unclear"]},"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 HeartHealthPrediction before installing it in an AI agent workflow","geo-science","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 ammarmahmood1999/HeartHealthPrediction"]},{"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 ammarmahmood1999/HeartHealthPrediction"]},{"id":"trust_score","label":"Trust score","status":"warn","score":69,"required_for_auto_install":true,"detail":"Potentially useful, but at least one trust signal needs human inspection.","evidence":["Manual review","112 GitHub stars","Unknown"]},{"id":"audit_score","label":"Audit score","status":"warn","score":59,"required_for_auto_install":true,"detail":"Needs review","evidence":["License is unclear"]},{"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.","License is unclear"]},{"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":"warn","score":42,"required_for_auto_install":true,"detail":"Unknown","evidence":["Unknown"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"fail","score":22,"required_for_auto_install":false,"detail":"2y since push","evidence":["2y 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":["frappe-erpnext","cesiumgs-cesium","turfjs-turf","tidwall-tile38"]}],"blockers":[],"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.","License clarity: Unknown","License is unclear","Repository appears stale","Financial research output is not financial advice; require human review before any live investment decision","Repository looks stale","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Recent maintenance: 2y since push"],"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 require actively maintained dependencies","production agents without a repository review","Repository looks stale","License is unclear","Repository appears stale","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"alternatives":[{"slug":"frappe-erpnext","name":"Erpnext","url":"https://www.openagentskill.com/skills/frappe-erpnext","stars":35723,"install_command":"npx skills add frappe/erpnext","trust_score":90,"audit_score":92},{"slug":"cesiumgs-cesium","name":"Cesium","url":"https://www.openagentskill.com/skills/cesiumgs-cesium","stars":15390,"install_command":"npx skills add CesiumGS/cesium","trust_score":92,"audit_score":93},{"slug":"turfjs-turf","name":"Turf","url":"https://www.openagentskill.com/skills/turfjs-turf","stars":10380,"install_command":"npx skills add Turfjs/turf","trust_score":90,"audit_score":92},{"slug":"tidwall-tile38","name":"Tile38","url":"https://www.openagentskill.com/skills/tidwall-tile38","stars":9674,"install_command":"npx skills add tidwall/tile38","trust_score":87,"audit_score":91}],"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"ammarmahmood1999-hearthealthprediction","name":"HeartHealthPrediction","description":"The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans.  Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set","category":"geo-science","url":"https://www.openagentskill.com/skills/ammarmahmood1999-hearthealthprediction","repository":"https://github.com/ammarmahmood1999/HeartHealthPrediction","github_repo":"ammarmahmood1999/HeartHealthPrediction"},"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 repository metadata","Compare code changes"],"suited_agents":["Jupyter Notebook","Health Data","Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add ammarmahmood1999/HeartHealthPrediction","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 ammarmahmood1999-hearthealthprediction"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"HeartHealthPrediction\" agent skill from https://github.com/ammarmahmood1999/HeartHealthPrediction. 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: The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set 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\":\"ammarmahmood1999-hearthealthprediction\",\"task\":\"Install HeartHealthPrediction\",\"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 \"HeartHealthPrediction\" as a Claude Code skill from https://github.com/ammarmahmood1999/HeartHealthPrediction. 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: The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set 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\":\"ammarmahmood1999-hearthealthprediction\",\"task\":\"Install HeartHealthPrediction\",\"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 \"HeartHealthPrediction\" from https://github.com/ammarmahmood1999/HeartHealthPrediction 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: The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set 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\":\"ammarmahmood1999-hearthealthprediction\",\"task\":\"Install HeartHealthPrediction\",\"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/ammarmahmood1999-hearthealthprediction/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/ammarmahmood1999-hearthealthprediction"},"trust":{"score":69,"label":"Manual review","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"112 GitHub stars","repoActivity":"112 stars, 94 forks","lastPushed":"2y since push","license":"Unknown","repository":"https://github.com/ammarmahmood1999/HeartHealthPrediction","install":"npx skills add ammarmahmood1999/HeartHealthPrediction","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":["geo-science","healthcare","data-analysis","data-science","decision-trees","heart-health-prediction"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","License is unclear","Repository looks stale","Quality score needs review","Recent maintenance: 2y since push","License clarity: Unknown"]},"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":59,"risk_level":"needs_review","risk_label":"Needs review","warnings":["License is unclear","Repository appears stale","Financial research output is not financial advice; require human review before any live investment decision","Repository looks stale","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Recent maintenance: 2y since push","License clarity: Unknown"]},"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":42,"label":"Needs review"},"supply":{"track":"Data, BI, and analytics","scenario":"Sports analytics","maintenance":"2y since push","risk":"Needs review"},"alternative_skills":[{"slug":"frappe-erpnext","name":"Erpnext","url":"https://www.openagentskill.com/skills/frappe-erpnext","stars":35723,"install_command":"npx skills add frappe/erpnext","trust_score":90,"audit_score":92},{"slug":"cesiumgs-cesium","name":"Cesium","url":"https://www.openagentskill.com/skills/cesiumgs-cesium","stars":15390,"install_command":"npx skills add CesiumGS/cesium","trust_score":92,"audit_score":93},{"slug":"turfjs-turf","name":"Turf","url":"https://www.openagentskill.com/skills/turfjs-turf","stars":10380,"install_command":"npx skills add Turfjs/turf","trust_score":90,"audit_score":92},{"slug":"tidwall-tile38","name":"Tile38","url":"https://www.openagentskill.com/skills/tidwall-tile38","stars":9674,"install_command":"npx skills add tidwall/tile38","trust_score":87,"audit_score":91}],"do_not_use_when":["teams that require actively maintained dependencies","production agents without a repository review","Repository looks stale","License is unclear","Repository appears stale","Financial research output is not financial advice; require human review before any live investment decision","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review"],"agent_contract":{"task_input":"Evaluate HeartHealthPrediction 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: 69/100 Manual review","Audit: 59/100 Needs review","Safety: 43/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"ammarmahmood1999-hearthealthprediction (HeartHealthPrediction)","install_command":"npx skills add ammarmahmood1999/HeartHealthPrediction","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":"ammarmahmood1999-hearthealthprediction","task":"Evaluate HeartHealthPrediction 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/ammarmahmood1999-hearthealthprediction","api":"https://www.openagentskill.com/api/agent/skills/ammarmahmood1999-hearthealthprediction","audit":"https://www.openagentskill.com/skills/ammarmahmood1999-hearthealthprediction/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=ammarmahmood1999-hearthealthprediction&task=Evaluate%20HeartHealthPrediction%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20HeartHealthPrediction%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Evaluate%20HeartHealthPrediction%20before%20installing%20it%20in%20an%20AI%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/ammarmahmood1999-hearthealthprediction/install","manifest":"https://www.openagentskill.com/api/registry/manifest/ammarmahmood1999-hearthealthprediction"}},"endpoints":{"web":"https://www.openagentskill.com/skills/ammarmahmood1999-hearthealthprediction","api":"https://www.openagentskill.com/api/agent/skills/ammarmahmood1999-hearthealthprediction","eval":"https://www.openagentskill.com/api/agent/evals?slug=ammarmahmood1999-hearthealthprediction","audit":"https://www.openagentskill.com/skills/ammarmahmood1999-hearthealthprediction/audit","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Evaluate%20HeartHealthPrediction%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":"2026-08-23T18:09:48.449Z"}}