{
  "run_id": "Auriti-Labs--geo-optimizer-skill-gpt-6-luna-1792970814810935343",
  "date": "2026-10-25T23:28:27.803202+00:00",
  "repo": "Auriti-Labs/geo-optimizer-skill",
  "kind": "repo",
  "source": "https://github.com/Auriti-Labs/geo-optimizer-skill",
  "commit": "7e713aaebb7abde3cc5638b9c8d47f02a599877b",
  "model": "gpt-6-luna",
  "model_version": "gpt-6-luna",
  "test_version": "readme-a17389bda4cc696f9601c0c4ff1b2c16e23bfa1d907883b715ccdd9e92ddec56",
  "pass": true,
  "outcome": "pass",
  "time_to_working_s": 64.2300167059293,
  "total_s": 92.99221873283386,
  "steps": [
    "pwd; id -u; python3 --version; rg --files -g 'README*' -g 'AGENTS.md' -g 'pyproject.toml' -g 'package.json' -g 'Makefile' -g '*.yml' -g '*.yaml' | head -80; sed -n '1,240p' README.md",
    "sed -n '1,240p' pyproject.toml; find . -maxdepth 2 -type f | sort | head -100; rg --version 2>/dev/null || true",
    "python3 -m venv /tmp/geo-venv && /tmp/geo-venv/bin/pip install -e .",
    "geo audit --url https://example.com --format json",
    " /tmp/geo-venv/bin/geo audit --url https://example.com --format json",
    "mkdir -p .coldpass; sed -n '1,180p' .github/workflows/ci.yml 2>/dev/null; find src/geo_optimizer -maxdepth 3 -type f | sort | head -100; sed -n '1,200p' docs/geo-audit.md",
    "cat > .coldpass/probe.json <<'EOF'\n{\"kind\":\"cli\",\"argv\":[\"/tmp/geo-venv/bin/geo\",\"audit\",\"--url\",\"https://example.com\",\"--format\",\"json\"],\"cwd\":\"<guest-path>\",\"expected_text\":\"\\\"score\\\": 22\"}\nEOF\ncat > .coldpass/claims.json <<'EOF'\n[\n {\"kind\":\"claim\",\"claim\":\"The audit scores a site from 0 to 100 and returns prioritized fixes.\",\"source\":\"One command scores any website 0\u2013100 on whether **ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews** can crawl it, understand it, and cite it \u2014 then tells you exactly what to fix.\",\"input\":\"https://example.com\",\"expected\":\"score and recommendations\",\"probe_kind\":\"cli\",\"argv\":[\"/tmp/geo-venv/bin/geo\",\"audit\",\"--url\",\"https://example.com\",\"--format\",\"json\"],\"expected_text\":\"\\\"score\\\": 22\",\"cwd\":\"<guest-path>\"}\n]\nEOF\ncat > .coldpass/examples.json <<'EOF'\n[\n {\"kind\":\"example\",\"claim\":\"Run a JSON website audit\",\"source\":\"README.md / Quick Start\",\"input\":\"https://example.com\",\"expected\":\"JSON score and prioritized recommendations\",\"argv\":[\"/tmp/geo-venv/bin/geo\",\"audit\",\"--url\",\"https://example.com\",\"--format\",\"json\"],\"cwd\":\"<guest-path>\",\"expected_text\":\"\\\"score\\\": 22\"}\n]\nEOF\ncat > .coldpass/cycles.json <<'EOF'\n{\"detected\":false,\"reason\":\"Inspected README commands and CLI entry points: the product offers one-shot audit and opt-in tracking commands; no product scheduler or automatic cycle trigger is documented. The documented audit runs on demand.\",\"checks\":[]}\nEOF",
    "<env-var>=<guest-path> python3 -I <guest-path> --validate --replay",
    "cat > .coldpass/report.json <<'EOF'\n{\"outcome\":\"working\",\"fault_owner\":null,\"operation\":\"geo audit --url https://example.com --format json\",\"operation_scope\":\"One-shot audit against the public example.com site; Python 3.12.3 and editable project install in /tmp/geo-venv\",\"steps\":[\"Read README and confirmed Python requirement is 3.10+.\",\"Created /tmp/geo-venv and installed the project with pip install -e .\",\"Ran /tmp/geo-venv/bin/geo audit --url https://example.com --format json; it returned score 22, band critical, and actionable recommendations.\",\"Recorded README claim, replay probe, examples, and cycle inspection; checker replay passed.\"],\"deviations\":[\"The unqualified geo command was not on PATH in a fresh shell (command not found); used the absolute venv entry point as required.\"],\"stuck_step\":null,\"main_blocker\":null,\"plain_failure\":null,\"suggested_fix\":null}\nEOF"
  ],
  "stuck_step": null,
  "error_excerpt": null,
  "what_it_did": "geo audit --url https://example.com --format json",
  "suggested_fix": null,
  "tokens_in": 234599,
  "tokens_out": 1377,
  "cost_usd": null,
  "usage_complete": true,
  "checks": [
    {
      "check": "operation",
      "status": "PASS",
      "details": {
        "working": true,
        "argv": [
          "/tmp/geo-venv/bin/geo",
          "audit",
          "--url",
          "https://example.com",
          "--format",
          "json"
        ],
        "kind": "cli",
        "returncode": 0,
        "stdout": "ps://developers.google.com/search/docs/crawling-indexing/consolidate-duplicate-urls\",\n      \"[G-DATES] No valid publication or update date found \\u2014 https://developers.google.com/search/docs/appearance/publication-dates\",\n      \"[G-BYLINE] No author found: Google asks 'who created the content' \\u2014 https://developers.google.com/search/docs/fundamentals/creating-helpful-content\",\n      \"[G-LINKS] Links are not crawlable <a href> elements (JS routes or none) \\u2014 https://developers.google.com/search/docs/crawling-indexing/javascript/javascript-seo-basics\",\n      \"[G-SITEMAP] No robots.txt, no declared sitemap \\u2014 https://developers.google.com/search/docs/crawling-indexing/sitemaps/build-sitemap\"\n    ],\n    \"llms\": [\n      \"Create /llms.txt for AI indexing: geo llms --base-url https://example.com. Note: llms.txt is an organizational signal, not a proven ranking factor. It helps structure content for AI systems.\"\n    ],\n    \"schema\": [\n      \"Add WebSite JSON-LD schema to homepage\",\n      \"Add Organization JSON-LD schema with name, url, and logo\",\n[excerpt truncated]",
        "stderr": "",
        "needs_credentials": false,
        "needs_browser": false,
        "scope": "product operation"
      }
    }
  ],
  "safety": {
    "version": "z2x-1",
    "rules_version": "z2x-1",
    "summary": "Review signals: 1 connection review, 1 download and execute, 1 hardcoded secret, 7 known vulnerability.",
    "expected": "Reviewed as expected for a test run: attempted writes that failed, so nothing was written; resolver address lookups that send no data.",
    "findings": [
      {
        "kind": "connection-review",
        "count": 1,
        "note": "Repository processes attempted these non-loopback connections; proxies can hide the final hostname.",
        "location_count": 1,
        "path": "104.20.23.154:443",
        "process_count": 7
      },
      {
        "kind": "download-and-execute",
        "count": 1,
        "note": "Source contains download and execute; review its purpose.",
        "location_count": 1,
        "path": "install.sh"
      },
      {
        "kind": "hardcoded-secret",
        "count": 1,
        "note": "Gitleaks found a possible hardcoded secret; value withheld.",
        "location_count": 1,
        "path": "frontend/scripts/indexnow-submit.mjs"
      },
      {
        "kind": "known-vulnerability",
        "count": 7,
        "note": "OSV reports a known vulnerability in this dependency version.",
        "location_count": 2
      }
    ],
    "context": [],
    "limitations": [
      "A short run cannot establish that code is safe.",
      "Connections show IP addresses; proxies can hide the final hostname.",
      "Tracing covers dispatched commands and their children, not the whole OS; guest root can interfere with tracing."
    ],
    "static": {
      "dependency_note": "OSV scanned supported lockfiles; unpinned dependencies and unsupported formats are outside this check."
    },
    "evidence_url": "/safety/?run=Auriti-Labs--geo-optimizer-skill-gpt-6-luna-1792970814810935343",
    "evidence_file": "/data/safety/Auriti-Labs--geo-optimizer-skill-gpt-6-luna-1792970814810935343.json.gz"
  },
  "agent_execution": "native_agent",
  "agent_runtime": "codex",
  "agent_runtime_version": "codex-cli 0.163.0",
  "tool_transport": "mcp-assigned-vm",
  "platform": "linux",
  "reasoning": "low",
  "service_tier": "standard",
  "resources": {
    "cpus": 2,
    "memory_mib": 4096,
    "disk_mib": 32768
  },
  "native_tool_calls": 9,
  "native_bundle": null,
  "architecture": null,
  "backend": "hyperv",
  "platform_details": {
    "backend": "hyperv",
    "os": "linux"
  },
  "platform_conflicts": null,
  "sandbox_source": null,
  "source_pin": {
    "commit": "7e713aaebb7abde3cc5638b9c8d47f02a599877b",
    "url": "https://github.com/Auriti-Labs/geo-optimizer-skill"
  },
  "purpose": "initial",
  "profile": {
    "model": "gpt-6-luna",
    "reasoning": "low"
  },
  "fault": {
    "owner": null,
    "status": "resolved",
    "reason": null
  },
  "fix_id": null,
  "verifies_run_id": null,
  "hosting": null,
  "operation_scope": "product operation",
  "tool_calls": 9,
  "guest_setup": null,
  "runtime": null,
  "runtime_version": null,
  "runtime_revision": null,
  "source_revision": null,
  "evidence_version": null,
  "failure_origin": null,
  "evidence_strength": "readme_checked",
  "works": "yes",
  "install_s": null,
  "first_use_s": null,
  "mcp": "none",
  "needs": [],
  "needs_which": null,
  "agent_interface": [
    "cli"
  ],
  "license": "MIT",
  "repo_url": "https://github.com/Auriti-Labs/geo-optimizer-skill",
  "cost_to_try": "free",
  "hardware": null,
  "what_failed": null,
  "local_or_hosted": "local",
  "cycle_checks": [
    {
      "kind": "cycle",
      "claim": "Scheduled or looping main behavior",
      "source": "repository entry points",
      "input": "source inspection",
      "expected": "identify the product trigger",
      "verdict": "yes",
      "outcome": "Inspected README commands and CLI entry points: the product offers one-shot audit and opt-in tracking commands; no product scheduler or automatic cycle trigger is documented. The documented audit runs on demand.",
      "evidence": "Inspected README commands and CLI entry points: the product offers one-shot audit and opt-in tracking commands; no product scheduler or automatic cycle trigger is documented. The documented audit runs on demand.",
      "command": ""
    }
  ],
  "claims": [
    {
      "kind": "claim",
      "claim": "The audit scores a site from 0 to 100 and returns prioritized fixes.",
      "source": "One command scores any website 0\u2013100 on whether **ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews** can crawl it, understand it, and cite it \u2014 then tells you exactly what to fix.",
      "input": "https://example.com",
      "expected": "score and recommendations",
      "command": "/tmp/geo-venv/bin/geo audit --url https://example.com --format json",
      "verdict": "yes",
      "outcome": "Real input produced the expected result: \"score\": 22",
      "evidence": "\"score\": 22,\n  \"band\": \"critical\",\n  \"error\": null,\n  \"score_version\": 2,\n  \"score_max\": {\n    \"google_ai\": 20,\n    \"robots\": 14,\n    \"schema\": 14,\n    \"content\": 14,\n    \"brand_entity\": 12,\n    \"meta\": 11,\n    \"llms\": 6,\n    \"signals\": 6,\n    \"ai_discovery\": 3\n  },\n  \"google_ai\": {\n    \"checked\": true,\n    \"points\": 13,\n    \"max_points\": 20,\n    \"final_url\": \"https://example.com/\",\n    \"checks\": [\n      {\n        \"id\": \"G-INDEX\",\n        \"status\": \"pass\",\n        \"points\": 5,\n        \"max_points\": 5,\n        \"evidence\": \"HTTP 200, indexable, Googlebot allowed\",\n        \"source_url\": \"https://",
      "returncode": 0,
      "source_checked": true,
      "source_file": "README.md"
    }
  ],
  "claims_note": null,
  "example_checks": [
    {
      "kind": "example",
      "claim": "Run a JSON website audit",
      "source": "README.md / Quick Start",
      "input": "https://example.com",
      "command": "/tmp/geo-venv/bin/geo audit --url https://example.com --format json",
      "evidence": "xity\",\n      \"chatgpt\",\n      \"claude\"\n    ],\n    \"truncation_risk\": \"none\",\n    \"context_efficiency_score\": 100\n  },\n  \"instruction_readiness\": {\n    \"checked\": true,\n    \"labeled_buttons\": 0,\n    \"unlabeled_buttons\": 0,\n    \"action_clarity_score\": 100,\n    \"total_inputs\": 0,\n    \"labeled_inputs\": 0,\n    \"typed_inputs\": 0,\n    \"form_readability_score\": 100,\n    \"nav_links\": 0,\n    \"stateful_urls\": false,\n    \"has_aria_live\": false,\n    \"has_error_roles\": false,\n    \"readiness_score\": 60,\n    \"readiness_level\": \"ready\"\n  },\n  \"http_status\": 200,\n  \"page_size\": 577,\n  \"audit_duration_ms\": 916\n}",
      "deferred": false,
      "expected": "JSON score and prioritized recommendations",
      "returncode": 0,
      "verdict": "yes",
      "outcome": "command completed successfully"
    }
  ],
  "does_what_it_says": "yes",
  "maintenance": {
    "archived": false,
    "commits_90d": 323,
    "last_commit_at": "2026-10-25T06:59:47Z",
    "last_release_at": "2026-10-22T15:22:30Z",
    "median_reply_hours": 128.3,
    "merged_prs_90d": 117,
    "note": "actively maintained: last commit 0 days ago; 323 commits and 117 merged PRs in 90 days; 5 open issues, 1 open PRs; 10 of 13 recent threads got a maintainer reply, median first reply 128.3h; latest release 2026-10-22",
    "open_issues": 5,
    "open_prs": 1,
    "reply_share": 0.77,
    "reply_threads": 13,
    "verdict": "maintained"
  },
  "maintenance_verdict": "maintained",
  "maintenance_note": "actively maintained: last commit 0 days ago; 323 commits and 117 merged PRs in 90 days; 5 open issues, 1 open PRs; 10 of 13 recent threads got a maintainer reply, median first reply 128.3h; latest release 2026-10-22",
  "maintained": "active",
  "maintained_note": "last commit 0 days ago",
  "last_commit_at": "2026-10-25T06:59:47Z",
  "last_release_at": "2026-10-22T15:22:30Z",
  "open_issues": null,
  "answered_issues": null,
  "platforms_claimed": [
    "linux"
  ],
  "topic": "mcp-server",
  "agent_interfaces": [
    {
      "interface": "mcp",
      "evidence": "README metadata",
      "observed": false,
      "operation_checked": false
    },
    {
      "interface": "cli",
      "evidence": "independent checker",
      "observed": true,
      "operation_checked": true
    }
  ],
  "agent_interfaces_note": "README metadata is a discovery hint, not pinned documentation proof. Observed interfaces were exercised in this run. An empty list means unknown.",
  "mcp_context": null,
  "tested_at": "2026-10-25T23:28:27.803202+00:00",
  "tested_commit": "7e713aaebb7abde3cc5638b9c8d47f02a599877b",
  "tested_with": {
    "agent": "codex",
    "agent_version": "codex-cli 0.163.0",
    "model": "gpt-6-luna",
    "model_route": "gpt-6-luna",
    "reasoning": "low",
    "os": "linux",
    "backend": "hyperv",
    "transport": "mcp-assigned-vm"
  },
  "setup_identity": {
    "repo": "Auriti-Labs/geo-optimizer-skill",
    "source": "https://github.com/Auriti-Labs/geo-optimizer-skill",
    "commit": "7e713aaebb7abde3cc5638b9c8d47f02a599877b",
    "source_revision": null,
    "os": "linux",
    "architecture": null,
    "backend": "hyperv",
    "model": "gpt-6-luna",
    "model_version": "gpt-6-luna",
    "agent_execution": "native_agent",
    "agent_runtime": "codex",
    "agent_runtime_version": "codex-cli 0.163.0",
    "tool_transport": "mcp-assigned-vm",
    "runtime": null,
    "runtime_version": null,
    "runtime_revision": null,
    "sandbox_source": null,
    "guest_setup": null,
    "source_pin": {
      "commit": "7e713aaebb7abde3cc5638b9c8d47f02a599877b",
      "url": "https://github.com/Auriti-Labs/geo-optimizer-skill"
    },
    "platform_details": {
      "os": "linux",
      "backend": "hyperv"
    },
    "platform_conflicts": null,
    "reasoning": "low",
    "service_tier": "standard",
    "resources": {
      "cpus": 2,
      "memory_mib": 4096,
      "disk_mib": 32768
    },
    "operation": "geo audit --url https://example.com --format json",
    "operation_scope": "product operation",
    "hosting": null,
    "kind": "repo",
    "test_version": "readme-a17389bda4cc696f9601c0c4ff1b2c16e23bfa1d907883b715ccdd9e92ddec56",
    "evidence_version": null
  },
  "other_model": null,
  "other_run_id": null,
  "models_agree": null,
  "furthest_model": null,
  "transcript_url": "/transcripts/Auriti-Labs--geo-optimizer-skill-gpt-6-luna-1792970814810935343.txt",
  "report_url": "/reports/Auriti-Labs--geo-optimizer-skill-gpt-6-luna-1792970814810935343.json"
}
