{ "run_id": "Auriti-Labs--geo-optimizer-skill-claude-haiku-5-5-1792970480572843970", "date": "2026-10-25T23:32:58.239826+00:00", "repo": "Auriti-Labs/geo-optimizer-skill", "kind": "mcp", "source": "https://github.com/Auriti-Labs/geo-optimizer-skill", "commit": "7e713aaebb7abde3cc5638b9c8d47f02a599877b", "model": "claude-haiku-5-5", "model_version": "claude-haiku-5-5", "test_version": "readme-ca496ea10bb07418d1d8f1c256c2433a55547acc0fb62d8b6d86ae33c976fbfa", "pass": true, "outcome": "pass", "time_to_working_s": 359.43310701299924, "total_s": 697.6669266223907, "steps": [ "cd && pwd && ls -la && git status 2>&1 | head -3; id -u; python3 --version; cat README.md 2>/dev/null | head -150", "cd && grep -n -i \"install\\|mcp\\|--once\\|schedule\\|cron\\|pip\" README.md | head -80; python3 -c \"import sys;print(sys.version)\"; which uv uvx pipx; grep -n \"requires-python\" pyproject.toml", "cd && sed -n 295,330p README.md; echo ----; sed -n 460,480p README.md", "cd && python3 -m venv && install -q --upgrade pip 2>&1 | tail -3; cd && install \"./[mcp]\" 2>&1 | tail -5", "cd /tmp && --version; timeout 120 audit --url https://example.com 2>&1 | head -40; echo \"rc=${PIPESTATUS[0]}\"", "cd && grep -rn \"def geo_\\\\\" src | head -30; ls .coldpass; ls 2>&1 | head; ls /inputs 2>&1", "cd && grep -rln \"schedule\\|--once\\|--now\\|while True\\|cron\" src | head; ls examples tests | head -60; cd /tmp && timeout 120 check-bots --help 2>&1 | head -5; --help 2>&1 | tail -30", "cd /tmp && track --help 2>&1 | head -30; monitor --help 2>&1 | head -20; grep -n \"schedule\\|interval\\|--once\\|while\" | head; grep -n \"schedule\\|--once\\|--now\" | head", "cd && cat > probe.json <<'EOF'\n{\"kind\":\"mcp\",\"argv\":[\"\"],\"cwd\":\"\",\"tool\":\"geo_check_bots\",\"arguments\":{\"url\":\"https://example.com\"},\"expected_text\":\"example.com\"}\nEOF\ncat > claims.json <<'EOF'\n[{\"kind\":\"claim\",\"claim\":\"The README says geo audit scores a site 0-100 with prioritized fixes\",\"source\":\"Run `geo audit --url https://yoursite.com` and read the priority list\",\"input\":\"https://example.com\",\"expected\":\"audit report for example.com\",\"probe_kind\":\"cli\",\"argv\":[\"\",\"audit\",\"--url\",\"https://example.com\"],\"expected_text\":\"GEO AUDIT\",\"cwd\":\"\"},\n{\"kind\":\"claim\",\"claim\":\"The README lists geo_check_bots as an MCP tool that checks bot access via robots.txt\",\"source\":\"| `geo_check_bots` | Check bot access via robots.txt |\",\"input\":\"https://example.com\",\"expected\":\"bot access result for example.com\",\"probe_kind\":\"mcp\",\"argv\":[\"\"],\"tool\":\"geo_check_bots\",\"arguments\":{\"url\":\"https://example.com\"},\"expected_text\":\"example.com\",\"cwd\":\"\"}]\nEOF\ncat > cycles.json <<'EOF'\n{\"detected\":false,\"reason\":\"Entry points inspected (geo CLI commands audit/monitor/track/fix, geo-mcp stdio server, src/geo_optimizer/web/app.py). The README says 'The hosted platform runs the same engine on a schedule'; the local package has no cron, loop, or --once/--now scheduler. Local runs are one-shot commands.\",\"checks\":[]}\nEOF\ncat > examples.json <<'EOF'\n[{\"kind\":\"example\",\"claim\":\"Quick start one-shot audit of a site\",\"source\":\"README.md Quick Start\",\"input\":\"geo audit --url https://example.com\",\"expected\":\"audit report printed\",\"argv\":[\"\",\"audit\",\"--url\",\"https://example.com\"],\"cwd\":\"\",\"env\":{},\"expected_text\":\"GEO AUDIT\"}]\nEOF\nfor f in *.json; do -m json.tool $f >/dev/null 2>&1 || python3 -I -c 'import json,sys;json.load(open(sys.argv[1]))' $f && echo \"ok $f\"; done; ls -la", "cd /tmp && = timeout 900 python3 -I --validate --replay 2>&1 | tail -80; echo \"rc=${PIPESTATUS[0]}\"", "cd && install -q -e \".[dev]\" 2>&1 | tail -3; timeout 900 tests/ -q -p no:cacheprovider 2>&1 | tail -15; echo rc=${PIPESTATUS[0]}", "cd && cat > examples.json <<'EOF'\n[{\"kind\":\"example\",\"claim\":\"Quick start one-shot audit of a site\",\"source\":\"README.md Quick Start\",\"input\":\"geo audit --url https://example.com\",\"expected\":\"audit report printed\",\"argv\":[\"\",\"audit\",\"--url\",\"https://example.com\"],\"cwd\":\"\",\"env\":{},\"expected_text\":\"GEO AUDIT\"},\n{\"kind\":\"example\",\"claim\":\"Contributor test suite runs offline with HTTP mocked\",\"source\":\"README.md Contributing\",\"input\":\"pytest tests/ -v\",\"expected\":\"all tests pass\",\"argv\":[\"\",\"tests/\",\"-q\",\"-p\",\"no:cacheprovider\"],\"cwd\":\"\",\"env\":{},\"expected_text\":\"2281 passed\"}]\nEOF\ncat > report.json <<'EOF'\n{\"outcome\":\"working\",\"fault_owner\":\"unknown\",\"operation\":\"Install geo-optimizer-skill from source and run the one-shot GEO audit CLI and the geo-mcp MCP server (geo_check_bots tool) against https://example.com\",\"operation_scope\":\"Linux guest, Python 3.12.3 (README requires >=3.10), venv at , live network access to example.com. Scheduled monitoring is hosted-only and was not exercised locally. Browser not required.\",\"steps\":[\"python3 -m venv \",\" install \\\"./[mcp]\\\" (from the checkout; README: pip install \\\"geo-optimizer-skill[mcp]\\\")\",\" audit --url https://example.com\",\" (stdio MCP server, tool geo_check_bots)\",\" install -e \\\".[dev]\\\" and pytest tests/ (README Contributing)\"],\"deviations\":[\"Checker path /inputs/coldpass-preflight.py does not exist in this guest; used as instructed in the task.\",\"Installed from the local checkout instead of PyPI so the pinned commit is what ran.\",\"pip install created src/geo_optimizer_skill.egg-info in the checkout (build artifact, not product source).\",\"No local cycle was triggered: the README's scheduling is hosted-only, so cycles.json has detected:false.\"],\"stuck_step\":null,\"main_blocker\":null,\"plain_failure\":null,\"suggested_fix\":null}\nEOF\npython3 -I -c 'import json,sys;[json.load(open(f)) for f in sys.argv[1:]];print(\"json ok\")' examples.json report.json; cd /tmp && = timeout 900 python3 -I --validate --replay > 2>&1; echo rc=$?; python3 -I -c 'import json;d=json.load(open(\"\")) if False else None' ; head -c 600 ; echo; grep -o '\"valid\": [a-z]*\\|\"problems\": \\[[^]]*\\]\\|\"status\": \"[A-Z]*\"' | head -20", "cd /tmp && python3 -I -c 'import json,sys;d=json.load(open(sys.argv[1]));r=d[\"replay\"][\"details\"];print([ (e.get(\"claim\"),e.get(\"verdict\"),e.get(\"returncode\")) for e in r.get(\"example_checks\",[])]); print([c.get(\"verdict\") for c in r.get(\"claims\",[])])' ; pgrep -fa \"geo-mcp|geo \" || echo \"no servers running\"; ls " ], "stuck_step": null, "error_excerpt": null, "what_it_did": "Install geo-optimizer-skill from source and run the one-shot GEO audit CLI and the geo-mcp MCP server (geo_check_bots tool) against https://example.com", "suggested_fix": null, "tokens_in": 336003, "tokens_out": 10350, "cost_usd": 0.01682782, "usage_complete": true, "checks": [ { "check": "operation", "status": "PASS", "details": { "working": true, "argv": [ "" ], "kind": "mcp", "serverInfo": { "name": "geo-optimizer", "version": "1.30.0" }, "tools": [ "geo_audit", "geo_fix", "geo_llms_generate", "geo_citability", "geo_schema_validate", "geo_compare", "geo_gap_analysis", "geo_ai_discovery", "geo_check_bots", "geo_trust_score", "geo_negative_signals", "geo_factual_accuracy" ], "tool_schema_bytes": 8365, "tool_result": { "content": [ { "type": "text", "text": "{\n \"url\": \"https://example.com\",\n \"robots_found\": false,\n \"citation_bots_ok\": false,\n \"bots\": {\n \"GPTBot\": {\n \"description\": \"OpenAI (ChatGPT training)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"OAI-SearchBot\": {\n \"description\": \"OpenAI (ChatGPT search citations)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"ChatGPT-User\": {\n \"description\": \"OpenAI (ChatGPT on-demand fetch)\",\n \"status\": \"missing\",\n \"tier\": \"user\"\n },\n \"ClaudeBot\": {\n \"description\": \"Anthropic (Claude training)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"Claude-SearchBot\": {\n \"description\": \"Anthropic (Claude search citations)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"Claude-User\": {\n \"description\": \"Anthropic (Claude on-demand fetch)\",\n \"status\": \"missing\",\n \"tier\": \"user\"\n },\n \"PerplexityBot\": {\n \"description\": \"Perplexity AI (index builder)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"Perplexity-User\": {\n \"description\": \"Perplexity (citation fetch on-demand)\",\n \"status\": \"missing\",\n \"tier\": \"user\"\n },\n \"Googlebot\": {\n \"description\": \"Google (Search + AI Overviews)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"Google-Extended\": {\n \"description\": \"Google (Gemini/Vertex training opt-out \\u2014 not a crawler)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"Google-CloudVertexBot\": {\n \"description\": \"Google (Vertex AI)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"Bingbot\": {\n \"description\": \"Microsoft (Bing/Copilot search)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"Applebot-Extended\": {\n \"description\": \"Apple (AI training)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"cohere-ai\": {\n \"description\": \"Cohere (language models)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"DuckAssistBot\": {\n \"description\": \"DuckDuckGo AI\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"Bytespider\": {\n \"description\": \"ByteDance/TikTok AI\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"meta-externalagent\": {\n \"description\": \"Meta AI (Facebook/Instagram AI)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"Meta-ExternalFetcher\": {\n \"description\": \"Meta (content fetch on-demand)\",\n \"status\": \"missing\",\n \"tier\": \"user\"\n },\n \"facebookexternalhit\": {\n \"description\": \"Meta (social preview + AI)\",\n \"status\": \"missing\",\n \"tier\": \"user\"\n },\n \"Amazonbot\": {\n \"description\": \"Amazon (Alexa/search AI)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"AI2Bot\": {\n \"description\": \"Allen Institute (AI research)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"AI2Bot-Dolma\": {\n \"description\": \"Allen Institute (Dolma dataset)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"xAI-Bot\": {\n \"description\": \"xAI (Grok search citations)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"Applebot\": {\n \"description\": \"Apple (general web crawl + Siri AI)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"PetalBot\": {\n \"description\": \"Huawei (PetalSearch AI, EU/Asia)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"YouBot\": {\n \"description\": \"You.com AI search\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"CCBot\": {\n \"description\": \"Common Crawl (used by many AI labs)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n }\n },\n \"summary\": {\n \"allowed\": 0,\n \"blocked\": 0,\n \"missing\": 27\n }\n}" } ], "structuredContent": { "result": "{\n \"url\": \"https://example.com\",\n \"robots_found\": false,\n \"citation_bots_ok\": false,\n \"bots\": {\n \"GPTBot\": {\n \"description\": \"OpenAI (ChatGPT training)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"OAI-SearchBot\": {\n \"description\": \"OpenAI (ChatGPT search citations)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"ChatGPT-User\": {\n \"description\": \"OpenAI (ChatGPT on-demand fetch)\",\n \"status\": \"missing\",\n \"tier\": \"user\"\n },\n \"ClaudeBot\": {\n \"description\": \"Anthropic (Claude training)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"Claude-SearchBot\": {\n \"description\": \"Anthropic (Claude search citations)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"Claude-User\": {\n \"description\": \"Anthropic (Claude on-demand fetch)\",\n \"status\": \"missing\",\n \"tier\": \"user\"\n },\n \"PerplexityBot\": {\n \"description\": \"Perplexity AI (index builder)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"Perplexity-User\": {\n \"description\": \"Perplexity (citation fetch on-demand)\",\n \"status\": \"missing\",\n \"tier\": \"user\"\n },\n \"Googlebot\": {\n \"description\": \"Google (Search + AI Overviews)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"Google-Extended\": {\n \"description\": \"Google (Gemini/Vertex training opt-out \\u2014 not a crawler)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"Google-CloudVertexBot\": {\n \"description\": \"Google (Vertex AI)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"Bingbot\": {\n \"description\": \"Microsoft (Bing/Copilot search)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"Applebot-Extended\": {\n \"description\": \"Apple (AI training)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"cohere-ai\": {\n \"description\": \"Cohere (language models)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"DuckAssistBot\": {\n \"description\": \"DuckDuckGo AI\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"Bytespider\": {\n \"description\": \"ByteDance/TikTok AI\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"meta-externalagent\": {\n \"description\": \"Meta AI (Facebook/Instagram AI)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"Meta-ExternalFetcher\": {\n \"description\": \"Meta (content fetch on-demand)\",\n \"status\": \"missing\",\n \"tier\": \"user\"\n },\n \"facebookexternalhit\": {\n \"description\": \"Meta (social preview + AI)\",\n \"status\": \"missing\",\n \"tier\": \"user\"\n },\n \"Amazonbot\": {\n \"description\": \"Amazon (Alexa/search AI)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"AI2Bot\": {\n \"description\": \"Allen Institute (AI research)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"AI2Bot-Dolma\": {\n \"description\": \"Allen Institute (Dolma dataset)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"xAI-Bot\": {\n \"description\": \"xAI (Grok search citations)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"Applebot\": {\n \"description\": \"Apple (general web crawl + Siri AI)\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"PetalBot\": {\n \"description\": \"Huawei (PetalSearch AI, EU/Asia)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n },\n \"YouBot\": {\n \"description\": \"You.com AI search\",\n \"status\": \"missing\",\n \"tier\": \"search\"\n },\n \"CCBot\": {\n \"description\": \"Common Crawl (used by many AI labs)\",\n \"status\": \"missing\",\n \"tier\": \"training\"\n }\n },\n \"summary\": {\n \"allowed\": 0,\n \"blocked\": 0,\n \"missing\": 27\n }\n}" }, "isError": false }, "tool_result_checked": true, "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": 3, "process_count": 23 }, { "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-claude-haiku-5-5-1792970480572843970", "evidence_file": "/data/safety/Auriti-Labs--geo-optimizer-skill-claude-haiku-5-5-1792970480572843970.json.gz" }, "agent_execution": "native_agent", "agent_runtime": "claude-code", "agent_runtime_version": "2.1.310 (Claude Code)", "tool_transport": "mcp-assigned-vm", "platform": "linux", "reasoning": "low", "service_tier": null, "resources": { "cpus": 2, "memory_mib": 4096, "disk_mib": 32768 }, "native_tool_calls": 13, "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": "claude-haiku-5-5", "reasoning": "low" }, "fault": { "owner": "unknown", "status": "pending", "reason": null }, "fix_id": null, "verifies_run_id": null, "hosting": null, "operation_scope": "product operation", "tool_calls": 13, "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": "local", "needs": [], "needs_which": null, "agent_interface": [ "mcp" ], "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": "Entry points inspected (geo CLI commands audit/monitor/track/fix, geo-mcp stdio server, src/geo_optimizer/web/app.py). The README says 'The hosted platform runs the same engine on a schedule'; the local package has no cron, loop, or --once/--now scheduler. Local runs are one-shot commands.", "evidence": "Entry points inspected (geo CLI commands audit/monitor/track/fix, geo-mcp stdio server, src/geo_optimizer/web/app.py). The README says 'The hosted platform runs the same engine on a schedule'; the local package has no cron, loop, or --once/--now scheduler. Local runs are one-shot commands.", "command": "" } ], "claims": [ { "kind": "claim", "claim": "The README says geo audit scores a site 0-100 with prioritized fixes", "source": "Run `geo audit --url https://yoursite.com` and read the priority list", "input": "https://example.com", "expected": "audit report for example.com", "command": " audit --url https://example.com", "verdict": "yes", "outcome": "Real input produced the expected result: GEO AUDIT", "evidence": "GEO AUDIT \u2014 https://example.com\n github.com/auriti-labs/geo-optimizer-skill\n\ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \ud83d\udd0d \n\n Status: 200 | Size: 577 bytes | Duration: 623ms\n\n============================================================\n 1. ROBOTS.TXT \u2014 AI Bot Access\n============================================================\n \u274c robots.txt not found\n\n============================================================\n 2. LLMS.TXT \u2014 AI Index File (Other AI agents \u00b7 not used by Google Search)\n============================================================\n \u274c llms.txt not found \u2014 essential for AI indexing!", "returncode": 0, "source_checked": true, "source_file": "README.md" }, { "kind": "claim", "claim": "The README lists geo_check_bots as an MCP tool that checks bot access via robots.txt", "source": "| `geo_check_bots` | Check bot access via robots.txt |", "input": "{\"tool\": \"geo_check_bots\", \"arguments\": {\"url\": \"https://example.com\"}}", "expected": "bot access result for example.com", "command": " tools/call {\"tool\": \"geo_check_bots\", \"arguments\": {\"url\": \"https://example.com\"}}", "verdict": "yes", "outcome": "Real input produced the expected result: example.com", "evidence": "example.com\\\",\\n \\\"robots_found\\\": false,\\n \\\"citation_bots_ok\\\": false,\\n \\\"bots\\\": {\\n \\\"GPTBot\\\": {\\n \\\"description\\\": \\\"OpenAI (ChatGPT training)\\\",\\n \\\"status\\\": \\\"missing\\\",\\n \\\"tier\\\": \\\"training\\\"\\n },\\n \\\"OAI-SearchBot\\\": {\\n \\\"description\\\": \\\"OpenAI (ChatGPT search citations)\\\",\\n \\\"status\\\": \\\"missing\\\",\\n \\\"tier\\\": \\\"search\\\"\\n },\\n \\\"ChatGPT-User\\\": {\\n \\\"description\\\": \\\"OpenAI (ChatGPT on-demand fetch)\\\",\\n \\\"status\\\": \\\"missing\\\",\\n \\\"tier\\\": \\\"user\\\"\\n },\\n \\\"ClaudeBot\\\": {\\n \\\"description\\\": \\\"Anthropi", "source_checked": true, "source_file": "README.md" } ], "claims_note": null, "example_checks": [ { "kind": "example", "claim": "Quick start one-shot audit of a site", "source": "README.md Quick Start", "input": "geo audit --url https://example.com", "command": " audit --url https://example.com", "evidence": "t requires JavaScript to render (25 words in raw HTML). AI crawlers don't execute JS. Implement SSR, SSG, or pre-rendering.\n\n \ud83d\udca1 One-shot audit. The free plan at https://geoready.dev saves your reports and runs\n one real AI answer check a week; weekly score monitoring starts on Pro.\n\n \u2192 Web report for this URL (free, no account):\n https://geoready.dev/report/audit?url=https://example.com\n\n\u23f3 Fetching page, robots.txt, llms.txt and AI files...\n\u23f3 Analyzing schema, meta tags and content...\n\u23f3 Checking CDN access for AI bots...\n\u23f3 Running trust, brand and extra checks...\n\u2705 Analysis complete.", "deferred": false, "expected": "audit report printed", "returncode": 0, "verdict": "yes", "outcome": "command completed successfully" }, { "kind": "example", "claim": "Contributor test suite runs offline with HTTP mocked", "source": "README.md Contributing", "input": "pytest tests/ -v", "command": " tests/ -q -p no:cacheprovider", "evidence": "'s 'tmp_path' fixture with absolute paths instead.\n with runner.isolated_filesystem():\n\ntests/test_v21_coverage.py::TestSchemaCmdFaqOltreTre::test_riga_198_piu_di_tre_faq_mostra_contatore\n DeprecationWarning: 'isolated_filesystem' is deprecated and will be removed in Click 9.0. Use 'tempfile.TemporaryDirectory' or pytest's 'tmp_path' fixture with absolute paths instead.\n with runner.isolated_filesystem():\n\n-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html\n2281 passed, 31 skipped, 8 warnings in 66.15s (0:01:06)", "deferred": false, "expected": "all tests pass", "returncode": 0, "verdict": "yes", "outcome": "command completed successfully" } ], "does_what_it_says": "yes", "maintenance": { "last_commit_at": "2026-10-25T06:59:47Z", "commits_90d": 323, "merged_prs_90d": 117, "open_issues": 5, "open_prs": 1, "reply_share": 0.77, "reply_threads": 13, "median_reply_hours": 128.3, "last_release_at": "2026-10-22T15:22:30Z", "archived": false, "verdict": "maintained", "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" }, "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": "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": { "tool_count": 12, "schema_bytes": 8365, "tokens_approx": 2092, "estimate_method": "ceil(compact UTF-8 tools/list JSON bytes / 4)", "scope": "returned tools/list page only; excludes client framing and tool results" }, "tested_at": "2026-10-25T23:32:58.239826+00:00", "tested_commit": "7e713aaebb7abde3cc5638b9c8d47f02a599877b", "tested_with": { "agent": "claude-code", "agent_version": "2.1.310 (Claude Code)", "model": "claude-haiku-5-5", "model_route": "claude-haiku-5-5", "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": "claude-haiku-5-5", "model_version": "claude-haiku-5-5", "agent_execution": "native_agent", "agent_runtime": "claude-code", "agent_runtime_version": "2.1.310 (Claude Code)", "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": null, "resources": { "cpus": 2, "memory_mib": 4096, "disk_mib": 32768 }, "operation": "Install geo-optimizer-skill from source and run the one-shot GEO audit CLI and the geo-mcp MCP server (geo_check_bots tool) against https://example.com", "operation_scope": "product operation", "hosting": null, "kind": "mcp", "test_version": "readme-ca496ea10bb07418d1d8f1c256c2433a55547acc0fb62d8b6d86ae33c976fbfa", "evidence_version": null }, "other_model": null, "other_run_id": null, "models_agree": null, "furthest_model": null, "transcript_url": "/transcripts/Auriti-Labs--geo-optimizer-skill-claude-haiku-5-5-1792970480572843970.txt", "report_url": "/reports/Auriti-Labs--geo-optimizer-skill-claude-haiku-5-5-1792970480572843970.json" }