{"slug":"affitor-proprietary-data-generator","name":"proprietary-data-generator","description":"Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\", \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\", \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\", \"generate research data\", \"create a study\", \"original statistics\", \"data nobody else has\", \"competitive data advantage\".","long_description":"---\nname: proprietary-data-generator\ndescription: >\n  Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection\n  for content moats.\n  Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\",\n  \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\",\n  \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\",\n  \"generate research data\", \"create a study\", \"original statistics\",\n  \"data nobody else has\", \"competitive data advantage\".\nlicense: MIT\nversion: \"1.0.0\"\ntags: [\"affiliate-marketing\", \"automation\", \"scaling\", \"workflow\", \"data\", \"original-research\"]\ncompatibility: \"Claude Code, ChatGPT, Gemini CLI, Cursor, Windsurf, OpenClaw, any AI agent\"\nmetadata:\n  author: affitor\n  version: \"1.0\"\n  stage: S7-Automation\n---\n\n# Proprietary Data Generator\n\nCreate original surveys, benchmarks, and aggregated data that nobody else has. Proprietary data is the ultimate content moat — competitors can copy your writing style but they can't copy YOUR data. Automates the design and execution framework for data collection that feeds unique content angles.\n\n## Stage\n\nS7: Automation & Scale — Generating data at scale requires automation. This skill designs the collection system, not just one data point. Creates repeatable data assets that compound over time.\n\n## When to Use\n\n- User wants to create content that can't be replicated by competitors\n- User asks about \"original research\", \"surveys\", \"benchmarks\", \"proprietary data\"\n- User says \"data moat\", \"unique data\", \"first-party data\", \"original statistics\"\n- After `content-moat-calculator` identifies the need for differentiated content\n- User wants to build authority through data-driven content\n- User wants to create linkable assets that earn backlinks naturally\n\n## Input Schema\n\n```yaml\nniche: string                 # REQUIRED — topic area for data collection\n                              # e.g., \"AI video tools\", \"affiliate marketing\"\n\ndata_type: string             # OPTIONAL — \"survey\" | \"benchmark\" | \"aggregation\" | \"case_study\"\n                              # Default: recommend based on niche and resources\n\naudience_access: string       # OPTIONAL — how you can reach respondents\n                              # e.g., \"email list of 500\", \"Reddit community\", \"Twitter followers\"\n                              # Default: suggest options\n\nbudget: string                # OPTIONAL — \"zero\" | \"low\" ($0-100) | \"medium\" ($100-500) | \"high\" ($500+)\n                              # Default: \"zero\"\n\ngoal: string                  # OPTIONAL — \"content_moat\" | \"backlink_magnet\" | \"authority\" | \"lead_gen\"\n                              # Default: \"content_moat\"\n```\n\n**Chaining from S3 content-moat-calculator**: Use `competitive_advantages` to identify data moat opportunities.\n\n## Workflow\n\n### Step 1: Identify Data Opportunity\n\nAnalyze the niche for data gaps:\n1. `web_search`: `\"[niche] statistics 2025\" OR \"[niche] survey\" OR \"[niche] benchmark\"` — what data already exists?\n2. Identify gaps: what questions does the industry ask that nobody has answered with data?\n3. `web_search`: `\"[niche] reddit\" \"I wish I knew\" OR \"does anyone know\"` — find unmet data needs\n\n### Step 2: Design Data Collection\n\nBased on `data_type` (or recommend the best fit):\n\n**Survey Design:**\n- 8-12 questions (shorter = higher completion)\n- Mix: 70% multiple choice, 20% scale (1-5), 10% open-ended\n- One \"surprising\" question that will generate headline-worthy data\n- Target sample size: 100+ for credibility\n- Distribution plan: where and how to reach respondents\n\n**Benchmark Study:**\n- Define metrics to measure (3-5)\n- Data sources: public data, API calls, manual collection\n- Collection methodology: how often, what tools\n- Comparison framework: how to present findings\n\n**Data Aggregation:**\n- Sources to aggregate from (public databases, APIs, web scraping targets)\n- Aggregation logic: how to combine and normalize\n- Update frequency: one-time or recurring\n- Visualization plan\n\n**Case Study Collection:**\n- Template for collecting stories (5-7 structured questions)\n- Outreach template for requesting case studies\n- Anonymization rules\n- Minimum viable sample: 10+ cases\n\n### Step 3: Create Collection Assets\n\nProduce ready-to-use assets:\n1. **Survey questions** (if survey) — complete question list with answer options\n2. **Collection template** — spreadsheet structure or form layout\n3. **Outreach template** — email/message to recruit respondents\n4. **Data analysis plan** — how to turn raw data into insights\n5. **Content plan** — how to present findings (blog post, infographic, report)\n\n### Step 4: Design Automation\n\nCreate a repeatable system:\n- Schedule: when to collect data (monthly, quarterly, annually)\n- Tools: recommended platforms (Google Forms, Typeform, Airtable)\n- Automation: how to automate collection and reporting\n- Update process: how to refresh and republish with new data\n\n### Step 5: Self-Validation\n\n- [ ] Data gap is real (verified by search — nobody else has this data)\n- [ ] Sample size is realistic given audience access\n- [ ] Questions are unbiased and well-structured\n- [ ] Collection method is feasible with stated budget\n- [ ] Output content plan is specific (not just \"write a blog post\")\n- [ ] Data is ethically collected (no scraping private data, survey has consent)\n\n## Output Schema\n\n```yaml\noutput_schema_version: \"1.0.0\"\nproprietary_data:\n  niche: string\n  data_type: string\n  data_gap: string              # What data doesn't exist yet\n  headline_potential: string    # The \"surprising finding\" angle\n\n  collection:\n    method: string\n    sample_target: number\n    tools: string[]\n    timeline: string\n    budget_needed: string\n\n  assets:\n    survey_questions: object[]  # If survey type\n    collection_template: string # Template description\n    outreach_template: string   # Recruitment message\n    analysis_plan: string\n\n  content_outputs:              # Content to create from the data\n    - type: string              # \"blog\" | \"infographic\" | \"report\" | \"social\"\n      title: string\n      skill_to_use: string     # Which skill creates this content\n\n  data_assets: string[]        # Moat strengtheners for chaining\n\nchain_metadata:\n  skill_slug: \"proprietary-data-generator\"\n  stage: \"automation\"\n  timestamp: string\n  suggested_next:\n    - \"affiliate-blog-builder\"\n    - \"content-pillar-atomizer\"\n    - \"content-moat-calculator\"\n```\n\n## Output Format\n\n```\n## Proprietary Data Plan: [Niche]\n\n### The Data Gap\n**Nobody has answered:** [the question]\n**Why it matters:** [why people care]\n**Headline potential:** \"[Surprising finding template]\"\n\n### Collection Design\n\n**Type:** [Survey / Benchmark / Aggregation / Case Study]\n**Target sample:** XX responses\n**Timeline:** X weeks\n**Budget:** $XX\n**Tools:** [tools list]\n\n### Survey Questions (or Collection Template)\n1. [Question] — [answer type] — [why this question]\n2. [Question] — [answer type] — [why this question]\n...\n\n### Outreach Template\nSubject: [subject line]\n[email/message body]\n\n### Content Plan (what to publish from this data)\n1. **Blog post:** \"[Title]\" → build with `affiliate-blog-builder`\n2. **Social thread:** Key findings → atomize with `content-pillar-atomizer`\n3. **Lead magnet:** Full report PDF → distribute with `squeeze-page-builder`\n\n### Automation Schedule\n- **Collection:** [frequency]\n- **Analysis:** [when after collection]\n- **Publication:** [when after analysis]\n- **Update:** [when to re-run with fresh data]\n```\n\n## Error Handling\n\n- **No niche provided**: \"Tell me your niche and I'll find data gaps nobody else is filling.\"\n- **No audience access**: Suggest free distribution channels: Reddit, Twitter, niche forums, ProductHunt. \"You don't need an email list — Reddit alone can drive 100+ survey responses.\"\n- **Zero budget**: Design everything with free tools (Google Forms, Google Sheets, manual aggregation). \"The best proprietary data costs $0 — just your time and curiosity.\"\n- **Niche already well-researched**: Dig deeper. \"The broad stats exist, but nobody has [specific angle]. Let's own that.\"\n\n## Examples\n\n**Example 1:** \"I want original data about AI video tools\"\n→ Design survey: \"AI Video Tools Usage Survey 2025\" — 10 questions about which tools, satisfaction, spend, use cases. Distribute on Reddit r/aivideo, Twitter, LinkedIn. Target 150 responses. Content plan: \"State of AI Video 2025\" blog post + infographic.\n\n**Example 2:** \"Create a benchmark for affiliate marketing earnings\"\n→ Aggregate public data from case studies, combine with original survey. Monthly recurring data collection. \"Affiliate Marketing Earnings Benchmark Q1 2025.\"\n\n**Example 3:** \"Data moat for my content strategy\" (after content-moat-calculator)\n→ Identify that competitors have generic content but NO original data. Design case study collection: \"How 50 Affiliate Marketers Made Their First $1,000.\" Instant authority.\n\n## Revenue & Action Plan\n\n### Expected Outcomes\n- **Revenue potential**: Original data content earns 5-10x more backlinks than generic content. Backlinks → higher domain authority → higher rankings for ALL your affiliate pages. One original data post can increase total site traffic by 20-50% over 6 months\n- **Benchmark**: Data-driven blog posts get 2x more shares and 3x more backlinks than opinion posts. \"State of [Industry]\" posts are the most linked-to content format in B2B niches\n- **Key metric to track**: Backlinks earned by the data content (check via Ahrefs, Semrush, or Google Search Console). Secondary: organic traffic increase to ALL affiliate pages (rising tide lifts all boats)\n\n### Do This Right Now (15 min)\n1. **Launch the survey or start data collection TODAY** — don't wait for the \"perfect\" survey. 80% good is enough to start\n2. **Post the survey link** in 3 places immediately: your email list, one relevant subreddit, and one social platform\n3. **Set a 2-week deadline** for data collection — urgency drives responses\n4. **Pre-write the blog post outline** using the Content Plan section — so you're ready to publish the moment data comes in\n\n### Track Your Results\nAfter data collection: publish the findings as a blog post with `affiliate-blog-builder`. After 30 days: how many backlinks did the data post earn? After 90 days: did organic traffic to your money pages increase? If yes, plan your next data collection round — proprietary data compounds.\n\n> **Next step — copy-paste this prompt:**\n> \"Write a blog post presenting my original research findings about [topic]\" → runs `affiliate-blog-builder`\n\n## Flywheel Connections\n\n### Feeds Into\n- `affiliate-blog-builder` (S3) — unique data angles for articles nobody else can write\n- `content-pillar-atomizer` (S2) — data findings to atomize across platforms\n- `content-moat-calculator` (S3) — proprietary data IS a moat strengthener\n\n### Fed By\n- `content-moat-calculator` (S3) — identifies need for differentiated content\n- `performance-report` (S6) — performance data to aggregate\n\n### Feedback Loop\n- Track backlinks and citations of your data → identify which data points get referenced most → double down on those angles in next collection\n\n## References\n\n- `shared/references/case-studies.md` — Real data-driven success examples\n- `shared/references/flywheel-connections.md` — Master connection map\n","tagline":"Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. 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Creators can claim the listing to update ownership signals."},"stats":{"stars":639,"forks":199,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":43.74},"quality":{"score":73,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"639","tone":"positive"},{"label":"Freshness","value":"3mo ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"trust":{"version":"trust-score-v5","score":70,"base_score":78,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"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":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","affiliate-marketing","automation","scaling","workflow","data"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","trust_score":70,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["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","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","affiliate-marketing","automation","scaling","workflow","data"],"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","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":78,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v5":{"version":"trust-score-v5","score":70,"base_score":78,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["70/100 Trust Score v5","78/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":76,"weight":0.13,"status":"info","detail":"639 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":71,"weight":0.08,"status":"info","detail":"639 stars, 199 forks; 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issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"3mo since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator"},{"status":"pass","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","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"639 GitHub stars","repoActivity":"639 stars, 199 forks","lastPushed":"3mo since push","license":"MIT","repository":"https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator","install":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","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","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","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","3mo since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"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":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v4","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms","source_version"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","affiliate-marketing","automation","scaling","workflow","data"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","trust_score":70,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["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","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","affiliate-marketing","automation","scaling","workflow","data"],"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","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":78,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":78,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":76,"weight":0.13,"status":"info","detail":"639 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":71,"weight":0.08,"status":"info","detail":"639 stars, 199 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":88,"weight":0.14,"status":"pass","detail":"3mo since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":94,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":64,"weight":0.12,"status":"info","detail":"command execution surface, network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator"},{"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":36,"weight":0.07,"status":"fail","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","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":"info","label":"GitHub adoption","detail":"639 GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"639 stars, 199 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"3mo since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface, network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator"},{"status":"pass","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","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"],"evidence":{"stars":"639 GitHub stars","repoActivity":"639 stars, 199 forks","lastPushed":"3mo since push","license":"MIT","repository":"https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator","install":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","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"},"installReadiness":{"ready":true,"command":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","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","3mo since push","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"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":["research","affiliate-marketing","automation","scaling","workflow","data"],"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","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","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"]},"outcome_stats":null,"safety":{"score":44,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","44/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"browser","label":"Browser automation","reason":"Skill may drive a browser or interact with web pages.","severity":"medium"},{"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"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","44/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":71,"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},"blockers":["Permission surface: shell or command execution, filesystem or document access"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","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","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","Permission surface needs review: shell or command execution, filesystem or document access","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."],"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 proprietary-data-generator before installing it in an agent workflow","research","Research agents workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add Affitor/affiliate-skills --skill proprietary-data-generator"]},{"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 Affitor/affiliate-skills --skill proprietary-data-generator"]},{"id":"trust_score","label":"Trust score","status":"warn","score":78,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","639 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":80,"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":44,"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":94,"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":88,"required_for_auto_install":false,"detail":"3mo since push","evidence":["3mo since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":36,"required_for_auto_install":true,"detail":"shell or command execution, filesystem or document access","evidence":["Shell or command execution: high","Browser automation: medium","Network access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/affitor-proprietary-data-generator/evals","api":"/api/agent/evals?slug=affitor-proprietary-data-generator","text":"/api/agent/evals?slug=affitor-proprietary-data-generator&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"affitor-proprietary-data-generator","name":"proprietary-data-generator","description":"Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\", \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\", \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\", \"generate research data\", \"create a study\", \"original statistics\", \"data nobody else has\", \"competitive data advantage\".","category":"research","url":"https://www.openagentskill.com/skills/affitor-proprietary-data-generator","repository":"https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator","github_repo":"Affitor/affiliate-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Move data between tools","Transform files"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add affitor-proprietary-data-generator"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"proprietary-data-generator\" agent skill from https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator. 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: Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\", \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\", \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\", \"generate research data\", \"create a study\", \"original statistics\", \"data nobody else has\", \"competitive data advantage\". 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\":\"affitor-proprietary-data-generator\",\"task\":\"Install proprietary-data-generator\",\"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 \"proprietary-data-generator\" as a Claude Code skill from https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator. 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: Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\", \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\", \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\", \"generate research data\", \"create a study\", \"original statistics\", \"data nobody else has\", \"competitive data advantage\". 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\":\"affitor-proprietary-data-generator\",\"task\":\"Install proprietary-data-generator\",\"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 \"proprietary-data-generator\" from https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator 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: Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\", \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\", \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\", \"generate research data\", \"create a study\", \"original statistics\", \"data nobody else has\", \"competitive data advantage\". 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\":\"affitor-proprietary-data-generator\",\"task\":\"Install proprietary-data-generator\",\"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/affitor-proprietary-data-generator/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/affitor-proprietary-data-generator"},"trust":{"score":78,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"639 GitHub stars","repoActivity":"639 stars, 199 forks","lastPushed":"3mo since push","license":"MIT","repository":"https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator","install":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","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","affiliate-marketing","automation","scaling","workflow","data"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","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":80,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","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","Permission surface needs review: shell or command execution, filesystem or document access","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":73,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"3mo since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","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":"Use proprietary-data-generator in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 78/100 Strong shortlist","Audit: 80/100 Needs review","Safety: 44/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"affitor-proprietary-data-generator (proprietary-data-generator)","install_command":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","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":"affitor-proprietary-data-generator","task":"Use proprietary-data-generator 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/affitor-proprietary-data-generator","api":"https://www.openagentskill.com/api/agent/skills/affitor-proprietary-data-generator","audit":"https://www.openagentskill.com/skills/affitor-proprietary-data-generator/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=affitor-proprietary-data-generator&task=Use%20proprietary-data-generator%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20proprietary-data-generator%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20proprietary-data-generator%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/affitor-proprietary-data-generator/install","manifest":"https://www.openagentskill.com/api/registry/manifest/affitor-proprietary-data-generator"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"affitor-proprietary-data-generator","name":"proprietary-data-generator","description":"Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\", \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\", \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\", \"generate research data\", \"create a study\", \"original statistics\", \"data nobody else has\", \"competitive data advantage\".","category":"research","url":"https://www.openagentskill.com/skills/affitor-proprietary-data-generator","repository":"https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator","github_repo":"Affitor/affiliate-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Move data between tools","Transform files"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add affitor-proprietary-data-generator"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"proprietary-data-generator\" agent skill from https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator. 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: Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\", \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\", \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\", \"generate research data\", \"create a study\", \"original statistics\", \"data nobody else has\", \"competitive data advantage\". 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\":\"affitor-proprietary-data-generator\",\"task\":\"Install proprietary-data-generator\",\"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 \"proprietary-data-generator\" as a Claude Code skill from https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator. 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: Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\", \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\", \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\", \"generate research data\", \"create a study\", \"original statistics\", \"data nobody else has\", \"competitive data advantage\". 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\":\"affitor-proprietary-data-generator\",\"task\":\"Install proprietary-data-generator\",\"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 \"proprietary-data-generator\" from https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator 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: Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\", \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\", \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\", \"generate research data\", \"create a study\", \"original statistics\", \"data nobody else has\", \"competitive data advantage\". 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\":\"affitor-proprietary-data-generator\",\"task\":\"Install proprietary-data-generator\",\"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/affitor-proprietary-data-generator/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/affitor-proprietary-data-generator"},"trust":{"score":78,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"639 GitHub stars","repoActivity":"639 stars, 199 forks","lastPushed":"3mo since push","license":"MIT","repository":"https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator","install":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","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","affiliate-marketing","automation","scaling","workflow","data"],"known_risks":["Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","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":80,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","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","Permission surface needs review: shell or command execution, filesystem or document access","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":73,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"3mo since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","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":"Use proprietary-data-generator in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 78/100 Strong shortlist","Audit: 80/100 Needs review","Safety: 44/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"affitor-proprietary-data-generator (proprietary-data-generator)","install_command":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","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":"affitor-proprietary-data-generator","task":"Use proprietary-data-generator 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/affitor-proprietary-data-generator","api":"https://www.openagentskill.com/api/agent/skills/affitor-proprietary-data-generator","audit":"https://www.openagentskill.com/skills/affitor-proprietary-data-generator/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=affitor-proprietary-data-generator&task=Use%20proprietary-data-generator%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20proprietary-data-generator%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20proprietary-data-generator%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/affitor-proprietary-data-generator/install","manifest":"https://www.openagentskill.com/api/registry/manifest/affitor-proprietary-data-generator"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"workflow-automation","title":"Workflow automation"},{"slug":"data-analysis","title":"Data analysis"}]},"applicableAgents":["Claude Code","OpenAI Agents","Cursor","CLI","Codex"],"install":{"ready":true,"command":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":639,"starsLabel":"639","forks":199,"license":"MIT","qualityScore":73,"trustScore":78,"auditScore":80},"maintenance":{"status":"active","label":"3mo since push","daysSincePush":86,"lastPushedAt":"2026-06-14T02:06:49+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Permission surface may require sandboxing","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","Permission surface needs review: shell or command execution, filesystem or document access"]},"coverageTags":["Research","Research agents","affiliate-marketing","automation","scaling","workflow","data","original-research"]},"audit":{"audit_score":80,"risk_level":"needs_review","risk_label":"Needs review","quality_score":73,"trust_score":78,"maintenance_score":88,"security_score":81,"install_score":92,"warnings":["Permission surface may require sandboxing","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","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"quality_signals":{"model":"v2","star_score":19.64,"usage_score":0,"review_score":5.1,"metadata_score":7,"freshness_score":12},"platforms":["Claude Code","OpenAI Agents","Cursor"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"data-analysis","title":"Data analysis","url":"https://www.openagentskill.com/use-cases/data-analysis"},{"slug":"content-automation","title":"Content automation","url":"https://www.openagentskill.com/use-cases/content-automation"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"}],"install":"npx skills add Affitor/affiliate-skills --skill proprietary-data-generator","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add affitor-proprietary-data-generator","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 \"proprietary-data-generator\" agent skill from https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator. 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: Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\", \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\", \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\", \"generate research data\", \"create a study\", \"original statistics\", \"data nobody else has\", \"competitive data advantage\". 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\":\"affitor-proprietary-data-generator\",\"task\":\"Install proprietary-data-generator\",\"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 \"proprietary-data-generator\" as a Claude Code skill from https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator. 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: Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\", \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\", \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\", \"generate research data\", \"create a study\", \"original statistics\", \"data nobody else has\", \"competitive data advantage\". 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\":\"affitor-proprietary-data-generator\",\"task\":\"Install proprietary-data-generator\",\"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 \"proprietary-data-generator\" from https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator 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: Create original surveys, benchmarks, and aggregated data nobody else has. Automate data collection for content moats. Triggers on: \"create original data\", \"proprietary data\", \"survey design\", \"benchmark study\", \"original research\", \"data-driven content\", \"create a survey\", \"industry benchmark\", \"aggregated data\", \"unique data\", \"first-party data\", \"data moat\", \"generate research data\", \"create a study\", \"original statistics\", \"data nobody else has\", \"competitive data advantage\". 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\":\"affitor-proprietary-data-generator\",\"task\":\"Install proprietary-data-generator\",\"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/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator","github_repo":"Affitor/affiliate-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/affitor-proprietary-data-generator","repository":"https://github.com/Affitor/affiliate-skills/tree/main/skills/automation/proprietary-data-generator","api":"/api/agent/skills/affitor-proprietary-data-generator","install_api":"/api/skills/affitor-proprietary-data-generator/install"},"meta":{"created_at":"2026-09-03T01:25:15.822963+00:00","updated_at":"2026-09-03T01:25:15.969207+00:00","agent_friendly":true}}