{
  "run_id": "zubair-trabzada--ai-marketing-claude-gpt-6-luna-1792972738323830588",
  "date": "2026-10-25T23:59:59.107611+00:00",
  "repo": "zubair-trabzada/ai-marketing-claude",
  "kind": "repo",
  "source": "https://github.com/zubair-trabzada/ai-marketing-claude",
  "commit": "e5aa0ea4c5f30d8bc08771e8ea932463e76d3356",
  "model": "gpt-6-luna",
  "model_version": "gpt-6-luna",
  "test_version": "readme-a17389bda4cc696f9601c0c4ff1b2c16e23bfa1d907883b715ccdd9e92ddec56",
  "pass": true,
  "outcome": "pass",
  "time_to_working_s": 29.81893189693801,
  "total_s": 60.78374481201172,
  "steps": [
    "pwd && id -u && python3 --version && rg --files -g 'README*' -g 'pyproject.toml' -g 'package.json' -g 'requirements*.txt' -g 'AGENTS.md' -g '.github/**' | head -80",
    "ls -la && find . -maxdepth 3 -type f | head -100 && sed -n '1,240p' README.md",
    "cat requirements.txt && sed -n '1,220p' install.sh && for f in scripts/*.py skills/market-social/SKILL.md skills/market-report/SKILL.md; do echo \"### $f\"; sed -n '1,200p' \"$f\"; done",
    "grep -nE 'usage|Usage|argparse|sys.argv|--output|--out|if __name__' scripts/*.py",
    "sed -n '200,245p' scripts/social_calendar.py && sed -n '445,485p' scripts/analyze_page.py && sed -n '1,110p' .coldpass/*",
    "bash ./install.sh > <guest-path> 2>&1; rc=$?; tail -30 <guest-path>; exit $rc",
    "python3 scripts/social_calendar.py 'AI automation' linkedin,twitter 2 > <guest-path> && head -35 <guest-path>",
    "mkdir -p .coldpass && python3 - <<'PY'\nimport json\np='<guest-path>'\nargv=['python3','scripts/social_calendar.py','AI automation','linkedin,twitter','2']\nprobe={'kind':'cli','argv':argv,'cwd':'<guest-path>','expected_text':'\"topic\": \"AI automation\"'}\nclaim={'kind':'claim','claim':'Generate a 30-day social media content calendar.','source':'You generate a complete 30-day content calendar with platform-specific posts, hooks, hashtags, and a content repurposing strategy.','input':'AI automation; LinkedIn and Twitter; 2 days','expected':'JSON calendar includes topic, chosen platforms and calendar entries','probe_kind':'cli','argv':argv,'expected_text':probe['expected_text'],'cwd':probe['cwd']}\nexamples=[{'kind':'example','claim':'Generate a social content calendar using the script.','source':'scripts/social_calendar.py main() usage/example','input':'AI automation, linkedin,twitter, 2','expected':'JSON content calendar with two entries','argv':argv,'cwd':probe['cwd'],'expected_text':probe['expected_text']}]\ncycles={'detected':False,'reason':'Repository entry points expose one-shot scripts and Claude Code skills; inspected scripts/social_calendar.py and README command table. No recurring scheduler or cycle trigger is provided.','checks':[]}\nfor name,obj in [('probe.json',probe),('claims.json',[claim]),('examples.json',examples),('cycles.json',cycles)]:\n with open(p+'/'+name,'w') as f: json.dump(obj,f,indent=2)\nPY",
    "<env-var>=<guest-path> python3 -I <guest-path> --validate --replay",
    "grep -n -E '30-day|content calendar' README.md",
    "python3 - <<'PY'\nimport json\np='<guest-path>'\nx=json.load(open(p)); x[0]['source']='30-day social media content calendar'; json.dump(x,open(p,'w'),indent=2)\nPY\n<env-var>=<guest-path> python3 -I <guest-path> --validate --replay",
    "python3 - <<'PY'\nimport json\np='<guest-path>'\nr={'outcome':'working','fault_owner':None,'operation':'Generate a social media content calendar from a topic.','operation_scope':'Standalone Python social_calendar.py utility; Python 3.12.3 standard library, installer completed.','steps':['Read README and confirmed Python 3.12.3 is available.','Ran bash ./install.sh; it installed 14 skills, 5 agents, 4 scripts and 6 templates.','Ran python3 scripts/social_calendar.py \"AI automation\" linkedin,twitter 2 and observed a JSON calendar.','Validated and replayed probe, README claim, example and cycle evidence successfully.'],'deviations':['The README centers on Claude Code slash commands; no Claude Code executable/session was available, so exercised the included documented standalone social calendar script instead.'],'stuck_step':None,'main_blocker':None,'plain_failure':None,'suggested_fix':None}\njson.dump(r,open(p,'w'),indent=2)\nPY"
  ],
  "stuck_step": null,
  "error_excerpt": null,
  "what_it_did": "Generate a social media content calendar from a topic.",
  "suggested_fix": null,
  "tokens_in": 342794,
  "tokens_out": 1988,
  "cost_usd": null,
  "usage_complete": true,
  "checks": [
    {
      "check": "operation",
      "status": "PASS",
      "details": {
        "working": true,
        "argv": [
          "python3",
          "scripts/social_calendar.py",
          "AI automation",
          "linkedin,twitter",
          "2"
        ],
        "kind": "cli",
        "returncode": 0,
        "stdout": "{\n  \"topic\": \"AI automation\",\n  \"brand\": \"AI automation\",\n  \"platforms\": [\n    \"linkedin\",\n    \"twitter\"\n  ],\n  \"duration_days\": 2,\n  \"start_date\": \"2026-10-25\",\n  \"end_date\": \"2026-10-27\",\n  \"posting_schedule\": {\n    \"linkedin\": {\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 download and execute.",
    "expected": "Reviewed as expected for a test run: attempted writes that failed, so nothing was written.",
    "findings": [
      {
        "kind": "download-and-execute",
        "count": 1,
        "note": "Source contains download and execute; review its purpose.",
        "location_count": 1,
        "path": "install.sh"
      }
    ],
    "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=zubair-trabzada--ai-marketing-claude-gpt-6-luna-1792972738323830588",
    "evidence_file": "/data/safety/zubair-trabzada--ai-marketing-claude-gpt-6-luna-1792972738323830588.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": 12,
  "native_bundle": null,
  "architecture": null,
  "backend": "hyperv",
  "platform_details": {
    "backend": "hyperv",
    "os": "linux"
  },
  "platform_conflicts": null,
  "sandbox_source": null,
  "source_pin": {
    "commit": "e5aa0ea4c5f30d8bc08771e8ea932463e76d3356",
    "url": "https://github.com/zubair-trabzada/ai-marketing-claude"
  },
  "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": 12,
  "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/zubair-trabzada/ai-marketing-claude",
  "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": "Repository entry points expose one-shot scripts and Claude Code skills; inspected scripts/social_calendar.py and README command table. No recurring scheduler or cycle trigger is provided.",
      "evidence": "Repository entry points expose one-shot scripts and Claude Code skills; inspected scripts/social_calendar.py and README command table. No recurring scheduler or cycle trigger is provided.",
      "command": ""
    }
  ],
  "claims": [
    {
      "kind": "claim",
      "claim": "Generate a 30-day social media content calendar.",
      "source": "30-day social media content calendar",
      "input": "AI automation; LinkedIn and Twitter; 2 days",
      "expected": "JSON calendar includes topic, chosen platforms and calendar entries",
      "command": "python3 scripts/social_calendar.py 'AI automation' linkedin,twitter 2",
      "verdict": "yes",
      "outcome": "Real input produced the expected result: \"topic\": \"AI automation\"",
      "evidence": "\"topic\": \"AI automation\",\n  \"brand\": \"AI automation\",\n  \"platforms\": [\n    \"linkedin\",\n    \"twitter\"\n  ],\n  \"duration_days\": 2,\n  \"start_date\": \"2026-10-25\",\n  \"end_date\": \"2026-10-27\",\n  \"posting_schedule\": {\n    \"linkedin\": {\n      \"ideal\": \"3-5x/week\",\n      \"minimum\": \"2x/week\",\n      \"best_times\": \"Tue-Thu 8-10am, 12pm\"\n    },\n    \"twitter\": {\n      \"ideal\": \"3-5x/day\",\n      \"minimum\": \"1x/day\",\n      \"best_times\": \"9am, 12pm, 5pm\"\n    }\n  },\n  \"content_pillars\": {\n    \"educational\": {\n      \"name\": \"Educational\",\n      \"description\": \"Teach your audience something valuable\",\n      \"freq",
      "returncode": 0,
      "source_checked": true,
      "source_file": "README.md"
    }
  ],
  "claims_note": null,
  "example_checks": [
    {
      "kind": "example",
      "claim": "Generate a social content calendar using the script.",
      "source": "scripts/social_calendar.py main() usage/example",
      "input": "AI automation, linkedin,twitter, 2",
      "command": "python3 scripts/social_calendar.py 'AI automation' linkedin,twitter 2",
      "evidence": "flow\": [\n      \"1. Create a long-form piece about AI automation (blog post or YouTube video)\",\n      \"2. Extract 5-7 key insights as individual social posts\",\n      \"3. Turn each insight into a platform-specific format\",\n      \"4. Create a carousel/thread from the full piece\",\n      \"5. Film a 60s summary as a Reel/TikTok\",\n      \"6. Pull quotes for image posts\",\n      \"7. Create a poll or question from one insight\",\n      \"8. Share behind-the-scenes of creating the content\",\n      \"9. Reshare top-performing posts 2-4 weeks later\",\n      \"10. Create a 'best of' compilation monthly\"\n    ]\n  }\n}",
      "deferred": false,
      "expected": "JSON content calendar with two entries",
      "returncode": 0,
      "verdict": "yes",
      "outcome": "command completed successfully"
    }
  ],
  "does_what_it_says": "yes",
  "maintenance": {
    "archived": false,
    "commits_90d": 0,
    "last_commit_at": "2026-03-02T01:18:36Z",
    "last_release_at": null,
    "median_reply_hours": null,
    "merged_prs_90d": 0,
    "note": "slow: last commit 237 days ago; 0 commits and 0 merged PRs in 90 days; 3 open issues, 3 open PRs; 0 of 6 recent threads got a maintainer reply; no releases",
    "open_issues": 3,
    "open_prs": 3,
    "reply_share": 0.0,
    "reply_threads": 6,
    "verdict": "slow"
  },
  "maintenance_verdict": "slow",
  "maintenance_note": "slow: last commit 237 days ago; 0 commits and 0 merged PRs in 90 days; 3 open issues, 3 open PRs; 0 of 6 recent threads got a maintainer reply; no releases",
  "maintained": "slow",
  "maintained_note": "last commit 237 days ago; 3 open issues, 1 answered or closed",
  "last_commit_at": "2026-03-02T01:18:40Z",
  "last_release_at": null,
  "open_issues": 3,
  "answered_issues": 1,
  "platforms_claimed": [
    "linux"
  ],
  "topic": "agent-harness",
  "agent_interfaces": [
    {
      "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": "2026-10-25T23:59:59.107611+00:00",
  "tested_commit": "e5aa0ea4c5f30d8bc08771e8ea932463e76d3356",
  "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": "zubair-trabzada/ai-marketing-claude",
    "source": "https://github.com/zubair-trabzada/ai-marketing-claude",
    "commit": "e5aa0ea4c5f30d8bc08771e8ea932463e76d3356",
    "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": "e5aa0ea4c5f30d8bc08771e8ea932463e76d3356",
      "url": "https://github.com/zubair-trabzada/ai-marketing-claude"
    },
    "platform_details": {
      "os": "linux",
      "backend": "hyperv"
    },
    "platform_conflicts": null,
    "reasoning": "low",
    "service_tier": "standard",
    "resources": {
      "cpus": 2,
      "memory_mib": 4096,
      "disk_mib": 32768
    },
    "operation": "Generate a social media content calendar from a topic.",
    "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/zubair-trabzada--ai-marketing-claude-gpt-6-luna-1792972738323830588.txt",
  "report_url": "/reports/zubair-trabzada--ai-marketing-claude-gpt-6-luna-1792972738323830588.json"
}