{ "id": "REDACTED_WORKFLOW_ID", "meta": { "templateCredsSetupCompleted": true }, "name": "CyberPulse Compliance \u2013 v2 batch pipeline", "tags": [], "nodes": [ { "id": "c38c20d9-247b-4cda-b487-3cae9c648bf0", "name": "Manual Trigger", "type": "n8n-nodes-base.manualTrigger", "position": [ -1200, 304 ], "parameters": {}, "typeVersion": 1 }, { "id": "978dc46e-747b-4960-b233-958f13971896", "name": "Append row in sheet", "type": "n8n-nodes-base.googleSheets", "position": [ 2016, 576 ], "parameters": { "columns": { "value": { "score": "={{ $json.score }}", "status": "={{ $json.status }}", "rationale": "={{ $json.rationale }}", "timestamp": "={{ $json.timestamp }}", "ai_summary": "={{ $json.ai_summary }}", "categories": "={{ $json.categories }}", "confidence": "={{ $json.confidence }}", "control_id": "={{ $json.control_id }}", "evaluation": "={{ $json.evaluation }}", "ai_findings": "={{ $json.ai_findings }}", "mapped_count": "={{ $json.mapped_count }}", "mapping_flat": "={{ $json.mapping_flat }}", "response_text": "={{ $json.response_text }}", "engine_version": "={{ $json.engine_version }}", "evidence_count": "={{ $json.evidence_count }}", "evidence_url_1": "={{ $json.evidence_url_1 }}", "evidence_url_2": "={{ $json.evidence_url_2 }}", "evidence_url_3": "={{ $json.evidence_url_3 }}", "evidence_url_4": "={{ $json.evidence_url_4 }}", "ai_recommendations": "={{ $json.ai_recommendations }}", "control_description": "={{ $json.control_description }}", "frameworks_selected": "={{ $json.frameworks_selected }}", "implementation_notes": "={{ $json.implementation_notes }}" }, "schema": [ { "id": "timestamp", "type": "string", "display": true, "required": false, "displayName": "timestamp", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "control_id", "type": "string", "display": true, "required": false, "displayName": "control_id", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "control_description", "type": "string", "display": true, "required": false, "displayName": "control_description", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "response_text", "type": "string", "display": true, "required": false, "displayName": "response_text", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "implementation_notes", "type": "string", "display": true, "required": false, "displayName": "implementation_notes", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "evidence_url_1", "type": "string", "display": true, "required": false, "displayName": "evidence_url_1", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "evidence_url_2", "type": "string", "display": true, "required": false, "displayName": "evidence_url_2", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "evidence_url_3", "type": "string", "display": true, "required": false, "displayName": "evidence_url_3", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "evidence_url_4", "type": "string", "display": true, "required": false, "displayName": "evidence_url_4", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "status", "type": "string", "display": true, "required": false, "displayName": "status", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "evaluation", "type": "string", "display": true, "required": false, "displayName": "evaluation", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "score", "type": "string", "display": true, "required": false, "displayName": "score", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "confidence", "type": "string", "display": true, "required": false, "displayName": "confidence", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "rationale", "type": "string", "display": true, "required": false, "displayName": "rationale", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "categories", "type": "string", "display": true, "required": false, "displayName": "categories", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "evidence_count", "type": "string", "display": true, "required": false, "displayName": "evidence_count", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "mapped_count", "type": "string", "display": true, "required": false, "displayName": "mapped_count", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "mapping_flat", "type": "string", "display": true, "required": false, "displayName": "mapping_flat", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "frameworks_selected", "type": "string", "display": true, "required": false, "displayName": "frameworks_selected", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "engine_version", "type": "string", "display": true, "required": false, "displayName": "engine_version", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "ai_summary", "type": "string", "display": true, "required": false, "displayName": "ai_summary", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "ai_findings", "type": "string", "display": true, "required": false, "displayName": "ai_findings", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "ai_recommendations", "type": "string", "display": true, "required": false, "displayName": "ai_recommendations", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "priority", "type": "string", "display": true, "required": false, "displayName": "priority", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "owner", "type": "string", "display": true, "required": false, "displayName": "owner", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "due_date", "type": "string", "display": true, "required": false, "displayName": "due_date", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "ticket_id", "type": "string", "display": true, "required": false, "displayName": "ticket_id", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "next_action", "type": "string", "display": true, "required": false, "displayName": "next_action", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "evidence_gap_flag", "type": "string", "display": true, "required": false, "displayName": "evidence_gap_flag", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "policy_gap_flag", "type": "string", "display": true, "required": false, "displayName": "policy_gap_flag", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "last_run_id", "type": "string", "display": true, "required": false, "displayName": "last_run_id", "defaultMatch": false, "canBeUsedToMatch": true }, { "id": "source_sheet_row", "type": "string", "display": true, "required": false, "displayName": "source_sheet_row", "defaultMatch": false, "canBeUsedToMatch": true } ], "mappingMode": "defineBelow", "matchingColumns": [], "attemptToConvertTypes": false, "convertFieldsToString": false }, "options": {}, "operation": "append", "sheetName": { "__rl": true, "mode": "list", "value": 1117838353, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/REDACTED_SHEET_ID_1/edit#gid=1117838353", "cachedResultName": "controls_results_template.csv" }, "documentId": { "__rl": true, "mode": "list", "value": "REDACTED_SHEET_ID_1", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/REDACTED_SHEET_ID_1/edit?usp=drivesdk", "cachedResultName": "controls_results_template" } }, "typeVersion": 4.7 }, { "id": "8cc0a735-cfdb-47cd-8807-680a84230570", "name": "Get row(s) in sheet", "type": "n8n-nodes-base.googleSheets", "position": [ -1184, 544 ], "parameters": { "options": {}, "sheetName": { "__rl": true, "mode": "list", "value": 1182991363, "cachedResultUrl": "https://docs.google.com/spreadsheets/d/REDACTED_SHEET_ID_2/edit#gid=1182991363", "cachedResultName": "Sheet1" }, "documentId": { "__rl": true, "mode": "list", "value": "REDACTED_SHEET_ID_2", "cachedResultUrl": "https://docs.google.com/spreadsheets/d/REDACTED_SHEET_ID_2/edit?usp=drivesdk", "cachedResultName": "controls_input_mock_100_rows" } }, "typeVersion": 4.7 }, { "id": "fc5a7cd1-f2a3-4711-9e62-c82e559f95e3", "name": "Explain & Recommend", "type": "@n8n/n8n-nodes-langchain.openAi", "position": [ 448, 624 ], "parameters": { "modelId": { "__rl": true, "mode": "list", "value": "gpt-4o-mini", "cachedResultName": "GPT-4O-MINI" }, "options": {}, "messages": { "values": [ { "role": "system", "content": "=Use only the provided fields. Do not invent evidence, numbers, or frameworks.\nReturn a JSON object with keys exactly:\n- ai_summary (string)\n- ai_findings (array of 3 short strings), no bullets, no dashes, no numbering, no checkboxes.\n- ai_recommendations (array of 3 short, actionable strings), no bullets, no dashes, no numbering, no checkboxes.\nNo other keys.\n" }, { "content": "={\n \"timestamp\": \"{{ $('Edit Fields').item.json.timestamp }}\",\n \"control_id\": \"{{ $('Edit Fields').item.json.control_id }}\",\n \"control_description\": \"{{ $('Edit Fields').item.json.control_description }}\",\n \"response_text\": \"{{ $('Edit Fields').item.json.response_text }}\",\n \"implementation_notes\": \"{{$json.implementation_notes || ''}}\",\n\n \"status\": \"{{$json.status}}\",\n \"evaluation\": \"{{$json.evaluation}}\",\n \"score\": {{ +$json.score }},\n \"confidence\": {{ +$json.confidence }},\n \"rationale\": \"{{$json.rationale}}\",\n\n \"evidence_count\": {{\n Array.isArray($json.evidence)\n ? $json.evidence.filter(u => u && String(u).trim()).length\n : ([\n $json.evidence_url_1,\n $json.evidence_url_2,\n $json.evidence_url_3,\n $json.evidence_url_4\n ].filter(u => u && String(u).trim()).length || ($json.evidence_count ?? 0))\n}},\n\n \"mapped_count\": {{ Array.isArray($json.mapped_requirements) ? $json.mapped_requirements.length : ($json.mapped_count ?? 0) }},\n \"mapping_flat\": \"{{ Array.isArray($json.mapped_requirements) ? $json.mapped_requirements.map(m => [m.framework, m.clause, m.title].filter(Boolean).join(': ')).join(' | ') : ($json.mapping_flat || '') }}\",\n \"categories\": \"{{ Array.isArray($json.categories) ? $json.categories.join(', ') : ($json.categories || '') }}\",\n \"frameworks_selected\": \"{{ Array.isArray($json.mapped_requirements) ? [...new Set($json.mapped_requirements.map(m => m.framework).filter(Boolean))].join(', ') : ($json.frameworks_selected || '') }}\",\n \"engine_version\": \"{{$json.engine_version || ''}}\",\n\n \"format_instructions\": \"Return ai_summary exactly as: 'Status: {status}. Evaluation: {evaluation}. Score: {score}. Confidence: {confidence}. Evidence items: {evidence_count}. Categories: {categories}. Mappings: {mapping_flat}'. Then return ai_findings as a single string with 3 short bullets (prefix each with '\u2022 ') grounded in rationale/categories. Then return ai_recommendations as a single string with 3 short, actionable bullets (prefix each with '\u2022 ') tied to mapping_flat and evidence_count. Also compute priority, next_action, evidence_gap_flag, policy_gap_flag using the rules below.\\n\\nRules:\\n- priority:\\n - P1 if (status == 'Non-Compliant' && mapped_count >= 3) OR (score < 50 && evidence_count == 0)\\n - P2 if (status in ['Non-Compliant','Partial'] && (score >= 50 && score < 75)) OR (evidence_count <= 1)\\n - P3 if (status == 'Compliant' && (confidence < 60 || evidence_count < 2))\\n - else P4\\n- next_action:\\n - 'implement' if status == 'Non-Compliant'\\n - 'remediate' if status == 'Partial'\\n - 'monitor' if status == 'Compliant' and (confidence < 60 || evidence_count < 2)\\n - else 'review'\\n- evidence_gap_flag: 'yes' if evidence_count == 0 OR evidence_count == 1, else 'no'\\n- policy_gap_flag: 'yes' if ('policy' appears in (response_text or rationale) case-insensitive) OR categories contains 'policy', else 'no'\"\n}\n" } ] }, "jsonOutput": true }, "typeVersion": 1.8 }, { "id": "242c3fcf-4293-4a1b-b229-a1c9e0938ae2", "name": "Parse + attach to each item", "type": "n8n-nodes-base.code", "position": [ 1504, 576 ], "parameters": { "mode": "runOnceForEachItem", "jsCode": "// Helpers\nfunction isNonEmpty(x){ if(x===undefined||x===null) return false; if(typeof x==='number') return true; return String(x).trim()!==''; }\nfunction prefer(...vals){ for(const v of vals){ if(isNonEmpty(v)) return v; } return ''; }\nfunction safeNum(x, def=''){ const n = Number(x); return Number.isFinite(n) ? n : def; }\n\n// Strip any leading bullets / dashes / numbers / checkboxes before we add our own bullets\nfunction stripLeadingMarkers(s){\n return String(s).replace(/^\\s*(?:[-*\u2022\\u2022]+|\\d+[.)]|[\u2713\u2714\u2717\u2718xX\\[\\]\\(\\)])\\s*/u, '');\n}\nfunction asArray(x){\n if(!x) return [];\n if(Array.isArray(x)) return x.filter(Boolean).map(v => stripLeadingMarkers(v));\n return String(x).split(/\\r?\\n+/).map(v => stripLeadingMarkers(v)).filter(Boolean);\n}\nfunction bullets(x){\n const a = asArray(x);\n return a.length ? a.map(s => `\u2022 ${s}`).join('\\n') : '';\n}\n\n// Current item from Merge\nconst i = $json;\n// Originals straight from \"Edit Fields\" (for fields the merge might not include)\nconst src = $(\"Edit Fields\").item?.json ?? {};\n\n// ---- Ingest (preserve originals)\nconst timestamp = prefer(i.timestamp, src.timestamp, new Date().toISOString());\nconst control_id = prefer(i.control_id, src.control_id);\nconst control_description = prefer(i.control_description, src.control_description);\nconst response_text = prefer(i.response_text, src.response_text);\nconst implementation_notes= prefer(i.implementation_notes, src.implementation_notes);\nconst evidence_url_1 = prefer(i.evidence_url_1, src.evidence_url_1);\nconst evidence_url_2 = prefer(i.evidence_url_2, src.evidence_url_2);\nconst evidence_url_3 = prefer(i.evidence_url_3, src.evidence_url_3);\nconst evidence_url_4 = prefer(i.evidence_url_4, src.evidence_url_4);\n\n// ---- Scoring & mapping\nconst status = prefer(i.status, 'Unknown');\nconst evaluation = prefer(i.evaluation, status);\nconst score = safeNum(i.score);\nconst confidence = safeNum(i.confidence);\nconst rationaleIn = prefer(i.rationale, i.reason);\n\n// categories may be array or string\nconst categoriesStr = Array.isArray(i.categories) ? i.categories.join(', ') : prefer(i.categories);\n\n// evidence: prefer i.evidence (array), else derive from URL fields, then filter empties\nlet evidenceArr = [];\nif (Array.isArray(i.evidence)) {\n evidenceArr = i.evidence.filter(u => u && String(u).trim());\n} else {\n evidenceArr = [evidence_url_1, evidence_url_2, evidence_url_3, evidence_url_4]\n .filter(u => u && String(u).trim());\n}\nconst evidence_count = isNonEmpty(i.evidence_count) ? safeNum(i.evidence_count, evidenceArr.length) : evidenceArr.length;\n\n// mapped requirements\nconst mappedReqs = Array.isArray(i.mapped_requirements) ? i.mapped_requirements : [];\nconst mapped_count = isNonEmpty(i.mapped_count) ? safeNum(i.mapped_count, mappedReqs.length) : mappedReqs.length;\nconst mapping_flat = isNonEmpty(i.mapping_flat)\n ? String(i.mapping_flat)\n : mappedReqs.map(m => [m.framework, m.clause, m.title].filter(Boolean).join(': ')).join(' | ');\n\n// frameworks selected (pretty commas)\nconst frameworks_selected = (isNonEmpty(i.frameworks_selected)\n ? String(i.frameworks_selected)\n : [...new Set(mappedReqs.map(m => m.framework).filter(Boolean))].join(', ')\n).replace(/,\\s*/g, ', ');\n\nconst engine_version = prefer(i.engine_version, i.version);\n\n// ---- AI outputs (handle message.content object OR JSON string; also accept top-level)\nlet ai_summary = i.ai_summary;\nlet ai_findings_any = i.ai_findings;\nlet ai_recommendations_any = i.ai_recommendations;\n\nif ((!ai_summary || (!ai_findings_any && !ai_recommendations_any)) && i.message?.content) {\n if (typeof i.message.content === 'object') {\n const c = i.message.content;\n ai_summary = ai_summary ?? c.ai_summary;\n ai_findings_any = ai_findings_any ?? c.ai_findings;\n ai_recommendations_any = ai_recommendations_any ?? c.ai_recommendations;\n } else {\n try {\n const parsed = JSON.parse(i.message.content);\n ai_summary = ai_summary ?? parsed.ai_summary;\n ai_findings_any = ai_findings_any ?? parsed.ai_findings;\n ai_recommendations_any = ai_recommendations_any ?? parsed.ai_recommendations;\n } catch {}\n }\n}\n\n// Normalize to single strings for the sheet (no double bullets)\nconst ai_findings = bullets(ai_findings_any);\nconst ai_recommendations = bullets(ai_recommendations_any);\n\n// Sync the item count inside rationale (e.g., replace \"(4 items)\" with \"(3 items)\")\nlet rationale = rationaleIn;\nif (isNonEmpty(rationale)) {\n rationale = rationale.replace(/\\(\\s*\\d+\\s*items?\\s*\\)/i, `(${evidence_count} items)`);\n}\n\n// Synthesize summary if missing (deterministic)\nif (!isNonEmpty(ai_summary)) {\n ai_summary = `Status: ${status}. Evaluation: ${evaluation}. Score: ${score}. `\n + `Confidence: ${confidence}. Evidence items: ${evidence_count}. `\n + `Categories: ${categoriesStr}. Mappings: ${mapping_flat}`;\n}\n\n// Return final row payload\nreturn {\n json: {\n // Ingest\n timestamp,\n control_id,\n control_description,\n response_text,\n implementation_notes,\n evidence_url_1,\n evidence_url_2,\n evidence_url_3,\n evidence_url_4,\n\n // Scoring & mapping\n status,\n evaluation,\n score,\n confidence,\n rationale,\n categories: categoriesStr,\n evidence_count,\n mapped_count,\n mapping_flat,\n frameworks_selected,\n engine_version,\n\n // AI (strings)\n ai_summary,\n ai_findings,\n ai_recommendations\n }\n};" }, "typeVersion": 2 }, { "id": "3df145fc-4393-4bd9-85c2-8b69ce7b1b1e", "name": "Loop Over Items", "type": "n8n-nodes-base.splitInBatches", "position": [ -32, 544 ], "parameters": { "options": {} }, "typeVersion": 3 }, { "id": "4e2b71c8-a9ac-4433-96a8-f53097334081", "name": "Edit Fields", "type": "n8n-nodes-base.set", "position": [ -928, 560 ], "parameters": { "options": {}, "assignments": { "assignments": [ { "id": "87318d44-cd2c-47d8-850a-c0b152d6b455", "name": "row_number", "type": "string", "value": "={{ $json.row_number }}" }, { "id": "9eab7a02-e58e-46a8-85cb-d2a41693759c", "name": "timestamp", "type": "string", "value": "={{ $json.timestamp }}" }, { "id": "6d3fa2f3-5e8b-45c6-80f6-e9b713fd82e4", "name": "control_description", "type": "string", "value": "={{ $json.control_description }}" }, { "id": "e0b7a487-bc52-40d9-80a6-5bc2a13c19a0", "name": "response_text", "type": "string", "value": "={{ $json.response_text }}" }, { "id": "b6347812-76af-454b-8869-81c47f4c90a8", "name": "evidence_url_1", "type": "string", "value": "={{ $json.evidence_url_1 }}" }, { "id": "f8784a98-ead8-4af2-a1ca-42aa2fcc6032", "name": "evidence_url_2", "type": "string", "value": "={{ $json.evidence_url_2 }}" }, { "id": "d91dceb0-e1a7-4322-89a9-041a34e00f52", "name": "evidence_url_3", "type": "string", "value": "={{ $json.evidence_url_3 }}" }, { "id": "14d6374b-5191-4f4f-85b0-d443a9e404ee", "name": "evidence_url_4", "type": "string", "value": "={{ $json.evidence_url_4 }}" }, { "id": "b8bd82a7-c19c-458b-a0cb-5cf2941efc0c", "name": "implementation_notes", "type": "string", "value": "={{ $json.implementation_notes }}" }, { "id": "fb10d1d9-da75-4f06-8a12-57cbda7c39b2", "name": "evidenceUrls_clean", "type": "array", "value": "={{ [$json.evidence_url_1, $json.evidence_url_2, $json.evidence_url_3, $json.evidence_url_4].filter(url => url != null && url !== '').map(url => String(url).trim()).filter(url => url.length > 0 && url.startsWith('http')) }}" } ] }, "includeOtherFields": true }, "typeVersion": 3.4 }, { "id": "3b945dd3-e849-4264-bacf-760802595467", "name": "Merge1", "type": "n8n-nodes-base.merge", "position": [ 1024, 576 ], "parameters": { "mode": "combine", "options": { "includeUnpaired": true }, "combineBy": "combineByPosition" }, "typeVersion": 3.2 }, { "id": "f3debc88-ff96-40b4-aa79-71d9b5507a4d", "name": "Sticky Note", "type": "n8n-nodes-base.stickyNote", "position": [ -1520, 208 ], "parameters": { "color": 4, "width": 528, "height": 512, "content": "\n\n\ud83d\udfe2 Manual Trigger \u2014 Start/diagnostics\n\nReceives POST and starts the run; echoes runId for tracing\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\ud83d\udfe9 Get row(s) in sheet \u2014 Read inputs\n\nLoads model/routing settings from\n the config sheet." }, "typeVersion": 1 }, { "id": "532fb675-a2f1-4c21-943a-b8b92de4e31a", "name": "Sticky Note1", "type": "n8n-nodes-base.stickyNote", "position": [ -976, 336 ], "parameters": { "color": 5, "width": 400, "height": 384, "content": "\n\n\n\n\n\ud83d\udfe6 Edit Fields \u2014 Normalize columns\n\nMaps incoming keys, trims text, and sets safe defaults." }, "typeVersion": 1 }, { "id": "41740561-c43b-46e3-9794-892d6720d070", "name": "Sticky Note2", "type": "n8n-nodes-base.stickyNote", "position": [ -560, 336 ], "parameters": { "width": 432, "height": 384, "content": "\n\n\ud83d\udfe8 CyberPulse Compliance (Dev) \u2014 Score + map\n\nScores and maps each control using control text + implementation notes + up to 4 evidence URLs and selected frameworks.\nOutputs score (0\u2013100), status, confidence, binary evaluation, categories, crosswalk mappings, and adds gaps/actions when evidence is weak or missing." }, "typeVersion": 1 }, { "id": "789faf46-fd9f-4c9c-8316-00954cd4b10b", "name": "Sticky Note3", "type": "n8n-nodes-base.stickyNote", "position": [ -112, 336 ], "parameters": { "color": 6, "width": 432, "height": 384, "content": "\n\n\ud83d\udfea Loop Over Items \u2014 Iterate per control\n\nIterates each control independently to run LLM \u2192 parse \u2192 append, preserving per-row context and emitting one result per input." }, "typeVersion": 1 }, { "id": "18d9e2a5-a850-4cc7-a60c-1af8e3ba6790", "name": "Sticky Note4", "type": "n8n-nodes-base.stickyNote", "position": [ 336, 336 ], "parameters": { "color": 5, "width": 512, "height": 384, "content": "\n\n\ud83d\udfe6 Explain & Recommend (Message Model) \u2014 Exec summary\n\nGenerates a strict-JSON executive summary\u2014ai_summary, three ai_findings, and three ai_recommendations\u2014from the control\u2019s status, score, confidence, categories, evidence, and framework mappings." }, "typeVersion": 1 }, { "id": "7c3b398d-4f6f-4712-aa1d-21e971abc634", "name": "Sticky Note5", "type": "n8n-nodes-base.stickyNote", "position": [ 864, 336 ], "parameters": { "color": 3, "width": 464, "height": 384, "content": "\n\n\ud83d\udfe7 Merge1 \u2014 Combine model + original\n\nCombines CyberPulse scoring/mapping with the LLM summary by position, producing one merged item per row." }, "typeVersion": 1 }, { "id": "3b2fdc19-9052-4d39-b6e7-b68f85e5bd82", "name": "Sticky Note6", "type": "n8n-nodes-base.stickyNote", "position": [ 1344, 336 ], "parameters": { "width": 464, "height": 384, "content": "\n\n\ud83d\udfe8 Parse + attach to each item \u2014 Final shaping\n\nMerges CyberPulse scores/mappings with the LLM output by index into a single unified row." }, "typeVersion": 1 }, { "id": "2e250890-eac2-4c90-acfc-dd074c2fa9ab", "name": "Sticky Note7", "type": "n8n-nodes-base.stickyNote", "position": [ 1824, 336 ], "parameters": { "color": 4, "width": 496, "height": 384, "content": "\n\n\ud83d\udfe9 Append row in sheet \u2014 Write results\n\nAppends one result row per item to the results sheet with core, scoring, mapping, and AI fields, leaving future columns blank." }, "typeVersion": 1 }, { "id": "95c58b60-8383-4297-9185-d9b1f053ae66", "name": "Sticky Note8", "type": "n8n-nodes-base.stickyNote", "position": [ 0, 0 ], "parameters": { "color": 7, "width": 784, "height": 288, "content": "\n\nWhat is CyberPulse Agent workflow ?\n\nAutomates evidence-aware control scoring (0\u2013100) with deterministic gates and confidence from evidence/text quality.\nReads controls from Google Sheets (text, up to 4 evidence URLs, notes) and classifies, scores, and maps via the CyberPulse node.\nGenerates board-ready AI outputs per control: one-paragraph summary, 3 findings, and 3 actionable recommendations.\nWrites normalized, analytics-ready rows back to a results sheet with flattened framework mappings and detected categories.\nCovers ISO 27001, NIST CSF, SOC 2, PCI DSS, Essential Eight, GDPR; secure, scalable in n8n with tunable weights/thresholds." }, "typeVersion": 1 }, { "id": "632ae2b0-f5a7-4b6a-9296-99f30a3eb817", "name": "Evaluate compliance control", "type": "CUSTOM.cyberPulseCompliance", "position": [ -416, 560 ], "parameters": { "controlText": "=={{ \n ($json.control_description || '') + ' ' +\n ($json.response_text || '') +\n ($json.implementation_notes ? (' ' + $json.implementation_notes) : '')\n}}\n", "crosswalkUrl": "https://example.com/path/to/crosswalk.json", "evidenceUrls": [ "={{ $json.evidenceUrls_clean[0] || '' }}", "={{ $json.evidenceUrls_clean[1] || '' }}", "={{ $json.evidenceUrls_clean[2] || '' }}", "={{ $json.evidenceUrls_clean[3] || '' }}" ] }, "typeVersion": 1 }, { "id": "cb29029a-a50e-40c0-a89d-5979a2e8c6d2", "name": "Code in JavaScript", "type": "n8n-nodes-base.code", "position": [ -704, 560 ], "parameters": { "jsCode": "// Ultra-defensive evidence URL cleaning\nreturn items.map(item => {\n let evidenceUrls = item.json.evidenceUrls_clean;\n \n // Extra safety checks\n if (!Array.isArray(evidenceUrls)) {\n evidenceUrls = [];\n }\n \n // Force every element to be a valid string\n evidenceUrls = evidenceUrls\n .filter(url => url != null && url !== undefined)\n .map(url => {\n // Force to string and trim\n const str = String(url).trim();\n return str;\n })\n .filter(url => {\n // Only keep valid HTTP(S) URLs\n return url.length > 0 && \n (url.startsWith('http://') || url.startsWith('https://'));\n });\n \n return {\n json: {\n ...item.json,\n evidenceUrls_clean: evidenceUrls\n }\n };\n});" }, "typeVersion": 2 } ], "active": false, "settings": { "availableInMCP": false, "executionOrder": "v1" }, "versionId": "REDACTED_VERSION_ID", "connections": { "Merge1": { "main": [ [ { "node": "Parse + attach to each item", "type": "main", "index": 0 } ] ] }, "Edit Fields": { "main": [ [ { "node": "Code in JavaScript", "type": "main", "index": 0 } ] ] }, "Manual Trigger": { "main": [ [ { "node": "Get row(s) in sheet", "type": "main", "index": 0 } ] ] }, "Loop Over Items": { "main": [ [], [ { "node": "Explain & Recommend", "type": "main", "index": 0 }, { "node": "Merge1", "type": "main", "index": 0 } ] ] }, "Code in JavaScript": { "main": [ [ { "node": "Evaluate compliance control", "type": "main", "index": 0 } ] ] }, "Append row in sheet": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Explain & Recommend": { "main": [ [ { "node": "Merge1", "type": "main", "index": 1 } ] ] }, "Get row(s) in sheet": { "main": [ [ { "node": "Edit Fields", "type": "main", "index": 0 } ] ] }, "Evaluate compliance control": { "main": [ [ { "node": "Loop Over Items", "type": "main", "index": 0 } ] ] }, "Parse + attach to each item": { "main": [ [ { "node": "Append row in sheet", "type": "main", "index": 0 } ] ] } } }