{
  "run_id": "zubair-trabzada--ai-marketing-claude-claude-haiku-5-5-1792972647555937259",
  "date": "2026-10-25T23:58:47.719130+00:00",
  "repo": "zubair-trabzada/ai-marketing-claude",
  "kind": "repo",
  "source": "https://github.com/zubair-trabzada/ai-marketing-claude",
  "commit": "e5aa0ea4c5f30d8bc08771e8ea932463e76d3356",
  "model": "claude-haiku-5-5",
  "model_version": "claude-haiku-5-5",
  "test_version": "readme-ca496ea10bb07418d1d8f1c256c2433a55547acc0fb62d8b6d86ae33c976fbfa",
  "pass": true,
  "outcome": "pass",
  "time_to_working_s": 54.42624169308692,
  "total_s": 80.1631600856781,
  "steps": [
    "cd <guest-path> && pwd && ls -la && id -u && python3 --version && (git status 2>&1 | head -3) && echo --- && head -c 6000 README.md",
    "cd <guest-path> && tail -c 1800 README.md; echo ---; cat requirements.txt; echo ---; ls scripts templates; echo ---; sed -n 1,60p scripts/analyze_page.py | head -80; ls <guest-path> /inputs 2>&1; curl -s -m 5 -o /dev/null -w '%{http_code}\\n' $CDP_URL/json/version",
    "cd <guest-path> && curl -s -m 5 -w '\\nHTTP %{http_code}\\n' $CDP_URL/json/version; echo ---; sed -n 1,80p install.sh",
    "cd <guest-path> && grep -n \"argv\\|argparse\\|add_argument\\|__main__\\|usage\" scripts/*.py | head -60",
    "cd <guest-path> && bash ./install.sh </dev/null 2>&1 | tail -25; echo \"exit=${PIPESTATUS[0]}\"; ls ~/.claude/skills | head -30",
    "cd <guest-path> && sed -n 180,240p scripts/social_calendar.py",
    "cd <guest-path> && mkdir -p <guest-path> && python3 scripts/social_calendar.py 'AI automation' linkedin,twitter 7 > <guest-path>; echo \"exit=$?\"; python3 -c 'import json,sys; d=json.load(open(\"<guest-path>\")); print(list(d.keys())); print(len(d[\"calendar\"]))' ; echo ---; timeout 40 python3 scripts/analyze_page.py https://example.com | head -c 600; echo; echo \"exit=${PIPESTATUS[0]}\"",
    "cd <guest-path> && grep -rniE \"cron|schedule|--once|--now|while True|webhook|daemon\" --include=*.py --include=*.sh --include=*.md . | grep -v \"^./skills/\" | head -20; echo ---; grep -n \"argv\\|def main\" scripts/generate_pdf_report.py | head; sed -n 415,430p scripts/generate_pdf_report.py; python3 -m venv --help >/dev/null 2>&1 && echo venv_ok",
    "cd <guest-path> && mkdir -p .coldpass && cat > .coldpass/probe.json <<'EOF'\n{\"kind\":\"cli\",\"argv\":[\"python3\",\"scripts/social_calendar.py\",\"AI automation\",\"linkedin,twitter\",\"7\"],\"cwd\":\"<guest-path>\",\"expected_text\":\"\\\"topic\\\": \\\"AI automation\\\"\"}\nEOF\ncat > .coldpass/claims.json <<'EOF'\n[{\"kind\":\"claim\",\"claim\":\"social calendar generator\",\"source\":\"README.md\",\"quote\":\"Social content calendar generator\",\"source_quote\":\"Social content calendar generator\",\"input\":\"AI automation linkedin,twitter 7\",\"expected\":\"JSON calendar for the topic\",\"probe_kind\":\"cli\",\"argv\":[\"python3\",\"scripts/social_calendar.py\",\"AI automation\",\"linkedin,twitter\",\"7\"],\"expected_text\":\"\\\"topic\\\": \\\"AI automation\\\"\",\"cwd\":\"<guest-path>\"},\n{\"kind\":\"claim\",\"claim\":\"automated page analysis\",\"source\":\"README.md\",\"quote\":\"automated page analysis, competitor scanning\",\"input\":\"https://example.com\",\"expected\":\"SEO analysis with title Example Domain\",\"probe_kind\":\"cli\",\"argv\":[\"python3\",\"scripts/analyze_page.py\",\"https://example.com\"],\"expected_text\":\"\\\"title\\\": \\\"Example Domain\\\"\",\"cwd\":\"<guest-path>\"}]\nEOF\ncat > .coldpass/cycles.json <<'EOF'\n{\"detected\":false,\"reason\":\"Entry points inspected (install.sh, scripts/*.py, README.md): no cron, scheduler, loop, --once/--now, or webhook trigger. Product is run on demand via Claude Code /market commands and scripts run once per invocation.\",\"checks\":[]}\nEOF\ncat > .coldpass/examples.json <<'EOF'\n[{\"kind\":\"example\",\"claim\":\"Generate a social media content calendar from the CLI\",\"source\":\"scripts/social_calendar.py usage\",\"input\":\"AI automation linkedin,twitter,instagram 30\",\"expected\":\"30-day calendar JSON for the topic\",\"argv\":[\"python3\",\"scripts/social_calendar.py\",\"AI automation\",\"linkedin,twitter,instagram\",\"30\"],\"cwd\":\"<guest-path>\",\"expected_text\":\"\\\"duration_days\\\": 30\"}]\nEOF\npython3 -I -c 'import json;[json.load(open(f\".coldpass/{n}.json\")) for n in [\"probe\",\"claims\",\"cycles\",\"examples\"]];print(\"json ok\")'",
    "cd <guest-path> && cat > .coldpass/claims.json <<'EOF'\n[{\"kind\":\"claim\",\"claim\":\"social calendar generator\",\"source\":\"Social content calendar generator\",\"input\":\"AI automation linkedin,twitter 7\",\"expected\":\"JSON calendar for the topic\",\"probe_kind\":\"cli\",\"argv\":[\"python3\",\"scripts/social_calendar.py\",\"AI automation\",\"linkedin,twitter\",\"7\"],\"expected_text\":\"\\\"topic\\\": \\\"AI automation\\\"\",\"cwd\":\"<guest-path>\"},\n{\"kind\":\"claim\",\"claim\":\"automated page analysis\",\"source\":\"automated page analysis, competitor scanning\",\"input\":\"https://example.com\",\"expected\":\"SEO analysis with title Example Domain\",\"probe_kind\":\"cli\",\"argv\":[\"python3\",\"scripts/analyze_page.py\",\"https://example.com\"],\"expected_text\":\"\\\"title\\\": \\\"Example Domain\\\"\",\"cwd\":\"<guest-path>\"}]\nEOF\n<env-var>=<guest-path> python3 -I <guest-path> --validate --replay 2>&1 | tail -60; echo \"exit=${PIPESTATUS[0]}\"",
    "cd <guest-path> && rm -rf <guest-path> && cat > .coldpass/report.json <<'EOF'\n{\"outcome\":\"working\",\"fault_owner\":null,\"operation\":\"Install the AI Marketing Suite skills with the README installer, then run the documented Python CLIs (social calendar generator and page analyzer)\",\"operation_scope\":\"Linux Ubuntu guest, Python 3.12.3 standard library only (no reportlab, no Claude Code runtime). /market slash commands are Claude Code skills and were not exercised because Claude Code is not installed in the guest; the CLI scripts were exercised directly. analyze_page.py needs outbound HTTPS to the target site.\",\"steps\":[\"curl -fsSL https://raw.githubusercontent.com/zubair-trabzada/ai-marketing-claude/main/install.sh | bash  (replaced by the local ./install.sh from the pinned checkout, which is the README's Manual Install step)\",\"./install.sh (exit 0; installed 14 skills, 5 agents, 4 scripts, 6 templates to ~/.claude)\",\"python3 scripts/social_calendar.py 'AI automation' linkedin,twitter 7 (exit 0, 7-day calendar JSON)\",\"python3 scripts/analyze_page.py https://example.com (exit 0, SEO analysis with title Example Domain)\"],\"deviations\":[\"Used the local copy of install.sh from the pinned checkout instead of the curl|bash one-liner; the script itself was run as documented and was non-interactive (stdin from /dev/null).\",\"install.sh printed literal \\\\x1b color escape sequences in its summary (cosmetic only; it does not affect install success).\",\"Did not install the optional reportlab package, so generate_pdf_report.py (report-pdf) was not run.\",\"The /market commands (audit, copy, etc.) run inside Claude Code and were not exercised; Claude Code is not present in the VM.\",\"The checker path was <guest-path> because /inputs/coldpass-preflight.py does not exist in this guest.\"],\"stuck_step\":null,\"main_blocker\":null,\"plain_failure\":null,\"suggested_fix\":\"None required for the scripted operations. For full use, install Claude Code and run /market commands; install reportlab for PDF output.\"}\nEOF\npython3 -I -c 'import json;json.load(open(\".coldpass/report.json\"));print(\"report ok\")'; <env-var>=<guest-path> python3 -I <guest-path> --validate --replay 2>&1 | python3 -c 'import json,sys; d=json.load(sys.stdin); print(d[\"valid\"], d[\"problems\"], d[\"replay\"][\"status\"])'; ls .coldpass"
  ],
  "stuck_step": null,
  "error_excerpt": null,
  "what_it_did": "Install the AI Marketing Suite skills with the README installer, then run the documented Python CLIs (social calendar generator and page analyzer)",
  "suggested_fix": null,
  "tokens_in": 191538,
  "tokens_out": 7673,
  "cost_usd": 0.011536710000000002,
  "usage_complete": true,
  "checks": [
    {
      "check": "operation",
      "status": "PASS",
      "details": {
        "working": true,
        "argv": [
          "python3",
          "scripts/social_calendar.py",
          "AI automation",
          "linkedin,twitter",
          "7"
        ],
        "kind": "cli",
        "returncode": 0,
        "stdout": "{\n  \"topic\": \"AI automation\",\n  \"brand\": \"AI automation\",\n  \"platforms\": [\n    \"linkedin\",\n    \"twitter\"\n  ],\n  \"duration_days\": 7,\n  \"start_date\": \"2026-10-25\",\n  \"end_date\": \"2026-11-01\",\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 connection review, 1 download and execute.",
    "expected": "Reviewed as expected for a test run: attempted writes that failed, so nothing was written.",
    "findings": [
      {
        "kind": "connection-review",
        "count": 1,
        "note": "Repository processes attempted these non-loopback connections; proxies can hide the final hostname.",
        "location_count": 4,
        "process_count": 4
      },
      {
        "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-claude-haiku-5-5-1792972647555937259",
    "evidence_file": "/data/safety/zubair-trabzada--ai-marketing-claude-claude-haiku-5-5-1792972647555937259.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": 11,
  "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": "claude-haiku-5-5",
    "reasoning": "low"
  },
  "fault": {
    "owner": null,
    "status": "resolved",
    "reason": null
  },
  "fix_id": null,
  "verifies_run_id": null,
  "hosting": null,
  "operation_scope": "product operation",
  "tool_calls": 11,
  "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": "Entry points inspected (install.sh, scripts/*.py, README.md): no cron, scheduler, loop, --once/--now, or webhook trigger. Product is run on demand via Claude Code /market commands and scripts run once per invocation.",
      "evidence": "Entry points inspected (install.sh, scripts/*.py, README.md): no cron, scheduler, loop, --once/--now, or webhook trigger. Product is run on demand via Claude Code /market commands and scripts run once per invocation.",
      "command": ""
    }
  ],
  "claims": [
    {
      "kind": "claim",
      "claim": "social calendar generator",
      "source": "Social content calendar generator",
      "input": "AI automation linkedin,twitter 7",
      "expected": "JSON calendar for the topic",
      "command": "python3 scripts/social_calendar.py 'AI automation' linkedin,twitter 7",
      "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\": 7,\n  \"start_date\": \"2026-10-25\",\n  \"end_date\": \"2026-11-01\",\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"
    },
    {
      "kind": "claim",
      "claim": "automated page analysis",
      "source": "automated page analysis, competitor scanning",
      "input": "https://example.com",
      "expected": "SEO analysis with title Example Domain",
      "command": "python3 scripts/analyze_page.py https://example.com",
      "verdict": "yes",
      "outcome": "Real input produced the expected result: \"title\": \"Example Domain\"",
      "evidence": "\"title\": \"Example Domain\",\n      \"title_length\": 14,\n      \"title_ok\": false,\n      \"meta_description\": \"\",\n      \"meta_description_length\": 0,\n      \"meta_description_ok\": false,\n      \"canonical\": \"\",\n      \"robots_meta\": \"\",\n      \"has_viewport\": true,\n      \"og_tags\": {},\n      \"headings\": {},\n      \"heading_issues\": [\n        \"Missing H1 tag\"\n      ],\n      \"images_total\": 0,\n      \"images_without_alt\": 0,\n      \"images_with_lazy_loading\": 0\n    },\n    \"content\": {\n      \"word_count\": 32,\n      \"headings_count\": 0,\n      \"h1\": [],\n      \"h2\": []\n    },\n    \"conversion\": {\n      \"ctas\": []",
      "returncode": 0,
      "source_checked": true,
      "source_file": "README.md"
    }
  ],
  "claims_note": null,
  "example_checks": [
    {
      "kind": "example",
      "claim": "Generate a social media content calendar from the CLI",
      "source": "scripts/social_calendar.py usage",
      "input": "AI automation linkedin,twitter,instagram 30",
      "command": "python3 scripts/social_calendar.py 'AI automation' linkedin,twitter,instagram 30",
      "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": "30-day calendar JSON for the topic",
      "returncode": 0,
      "verdict": "yes",
      "outcome": "command completed successfully"
    }
  ],
  "does_what_it_says": "yes",
  "maintenance": {
    "last_commit_at": "2026-03-02T01:18:36Z",
    "commits_90d": 0,
    "merged_prs_90d": 0,
    "open_issues": 3,
    "open_prs": 3,
    "reply_share": 0.0,
    "reply_threads": 6,
    "median_reply_hours": null,
    "last_release_at": null,
    "archived": false,
    "verdict": "slow",
    "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"
  },
  "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": "2026-10-25T23:58:47.719130+00:00",
  "tested_commit": "e5aa0ea4c5f30d8bc08771e8ea932463e76d3356",
  "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": "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": "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": "e5aa0ea4c5f30d8bc08771e8ea932463e76d3356",
      "url": "https://github.com/zubair-trabzada/ai-marketing-claude"
    },
    "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 the AI Marketing Suite skills with the README installer, then run the documented Python CLIs (social calendar generator and page analyzer)",
    "operation_scope": "product operation",
    "hosting": null,
    "kind": "repo",
    "test_version": "readme-ca496ea10bb07418d1d8f1c256c2433a55547acc0fb62d8b6d86ae33c976fbfa",
    "evidence_version": null
  },
  "other_model": null,
  "other_run_id": null,
  "models_agree": null,
  "furthest_model": null,
  "transcript_url": "/transcripts/zubair-trabzada--ai-marketing-claude-claude-haiku-5-5-1792972647555937259.txt",
  "report_url": "/reports/zubair-trabzada--ai-marketing-claude-claude-haiku-5-5-1792972647555937259.json"
}
