The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"name": "Trust Ledger",
"nodes": [
{
"id": "c11f2868-e0f8-408e-959b-1d94d143d86d",
"name": "Rescore The Library Daily",
"type": "n8n-nodes-base.scheduleTrigger",
"typeVersion": 1.3,
"position": [
0,
208
],
"parameters": {
"rule": {
"interval": [
{
"field": "days",
"triggerAtHour": 4
}
]
}
}
},
{
"id": "39d69bbd-b383-4047-91ea-b473e1cbf4a2",
"name": "Pull The Signals Only n8n Can See",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
240,
208
],
"parameters": {
"mode": "runOnceForAllItems",
"jsCode": "const templates = [\n { id: 't_1188', title: 'AI email triage to Sheets', installs: 41200, has_evals: true, eval_pass: 0.97, fuzz_survival: 0.91, injection_resistance: 0.88, cost_variance: 0.12, days_since_verified: 6, incidents_90d: 1 },\n { id: 't_2054', title: 'Autonomous invoice payer', installs: 8800, has_evals: false, eval_pass: 0, fuzz_survival: 0.34, injection_resistance: 0.29, cost_variance: 0.71, days_since_verified: 402, incidents_90d: 17 },\n { id: 't_3391', title: 'RAG over your Notion', installs: 26500, has_evals: true, eval_pass: 0.82, fuzz_survival: 0.64, injection_resistance: 0.41, cost_variance: 0.38, days_since_verified: 88, incidents_90d: 6 },\n { id: 't_4407', title: 'Slack standup summariser', installs: 15900, has_evals: true, eval_pass: 0.94, fuzz_survival: 0.87, injection_resistance: 0.79, cost_variance: 0.09, days_since_verified: 21, incidents_90d: 0 }\n];\nreturn [{ json: { templates: templates } }];"
}
},
{
"id": "28c746ef-3ba8-43e3-902d-2ba4c44b3e9d",
"name": "Compute The Trust Score",
"type": "n8n-nodes-base.code",
"typeVersion": 2,
"position": [
480,
208
],
"parameters": {
"mode": "runOnceForAllItems",
"jsCode": "const d = $input.first().json;\nconst scored = d.templates.map(function (t) {\n const freshness = Math.max(0, 1 - (t.days_since_verified / 180));\n const incidentDrag = Math.max(0, 1 - (t.incidents_90d / 10));\n const raw = (t.eval_pass * 0.30) + (t.fuzz_survival * 0.20) + (t.injection_resistance * 0.20) +\n ((1 - Math.min(1, t.cost_variance)) * 0.10) + (freshness * 0.10) + (incidentDrag * 0.10);\n const capped = t.has_evals ? raw : Math.min(raw, 0.49);\n const pct = Math.round(capped * 100);\n let grade = 'D';\n if (pct >= 85) { grade = 'A'; } else if (pct >= 70) { grade = 'B'; } else if (pct >= 55) { grade = 'C'; }\n const weakest = [\n { k: 'no evals at all', v: t.has_evals ? 1 : 0 },\n { k: 'falls over on malformed input', v: t.fuzz_survival },\n { k: 'prompt injection gets through', v: t.injection_resistance },\n { k: 'cost swings wildly per run', v: 1 - Math.min(1, t.cost_variance) },\n { k: 'not verified in months', v: freshness }\n ].sort(function (a, b) { return a.v - b.v; })[0];\n return { id: t.id, title: t.title, installs: t.installs, trust: pct, grade: grade,\n biggest_problem: weakest.k, exposed_installs: grade === 'D' ? t.installs : 0 };\n});\nconst risky = scored.filter(function (s) { return s.grade === 'D'; });\nconst exposed = scored.reduce(function (a, s) { return a + s.exposed_installs; }, 0);\nconst worst = scored.slice().sort(function (a, b) { return a.trust - b.trust; })[0];\nconst say = 'The template library has no quality signal on it at all today - a template with 8,800 installs and 17 incidents looks exactly like one with 41,200 installs and zero. ' +\n 'Scoring them puts ' + risky.length + ' in the danger band, covering ' + exposed + ' installs. ' +\n 'Worst is \\\"' + worst.title + '\\\" at ' + worst.trust + '/100: ' + worst.biggest_problem + '. ' +\n 'A template with no evals is capped at 49 no matter how popular it is, because popularity is not evidence.';\nconst headline = risky.length > 2 ? 'crisis' : (risky.length > 0 ? 'flagged' : 'healthy');\nreturn [{ json: { plain_english: say, headline: headline, ledger: scored, exposed_installs: exposed } }];"
}
},
{
"id": "fcb0fbf8-59e9-4393-a204-a9076ecac4e5",
"name": "How Bad Is The Library",
"type": "n8n-nodes-base.switch",
"typeVersion": 3.2,
"position": [
760,
208
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "crisis",
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "b1",
"leftValue": "={{ $json.headline }}",
"operator": {
"type": "string",
"operation": "equals"
},
"rightValue": "crisis"
}
],
"combinator": "and"
}
},
{
"outputKey": "flagged",
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "b2",
"leftValue": "={{ $json.headline }}",
"operator": {
"type": "string",
"operation": "equals"
},
"rightValue": "flagged"
}
],
"combinator": "and"
}
},
{
"outputKey": "healthy",
"conditions": {
"options": {
"caseSensitive": true,
"leftValue": "",
"typeValidation": "strict",
"version": 2
},
"conditions": [
{
"id": "b3",
"leftValue": "={{ $json.headline }}",
"operator": {
"type": "string",
"operation": "equals"
},
"rightValue": "healthy"
}
],
"combinator": "and"
}
}
]
},
"options": {}
}
},
{
"id": "eafdd5e2-ec8e-44fa-99c3-7735680e18c8",
"name": "DELIST: Too Many Templates Below The Bar",
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
1020,
32
],
"parameters": {}
},
{
"id": "f4a0ba03-c23c-4752-81be-c75cf313dd2a",
"name": "BADGE: Publish Grades And Notify Authors",
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
1020,
208
],
"parameters": {}
},
{
"id": "a6bf7dbd-b3a3-4e1d-9193-515ae82d8059",
"name": "HEALTHY: Publish The Ledger",
"type": "n8n-nodes-base.noOp",
"typeVersion": 1,
"position": [
1020,
384
],
"parameters": {}
},
{
"id": "75db1db3-cb3b-4aa6-bc27-a853e43b220a",
"name": "Sticky Note 189e6b4f",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
-50,
158
],
"parameters": {
"content": "## Trust Ledger - a grade on every template in the library\n\nRight now n8n's library sorts by popularity. A template with 8,800 installs and 17 incidents looks identical to one with 41,200 installs and none. Install count is a measure of marketing, not of whether the thing works.\n\nThis computes a trust score per template from six signals and publishes it as a grade: **eval pass rate, fuzz survival, injection resistance, cost variance, days since last verified, and 90-day incident count.**",
"color": 4,
"width": 540,
"height": 200
}
},
{
"id": "dabad53c-fd0d-4382-a91b-e4e1f4787460",
"name": "Sticky Note 59d0b509",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
430,
158
],
"parameters": {
"content": "## The rule that makes it honest\n\n**A template with no evals is capped at 49/100 no matter how popular it is.**\n\nPopularity is not evidence. The cap is what turns the badge from a vanity metric into an incentive: the only way past a C is to write the evals, and the platform hands you the harness to do it.\n\nThat is how you get 650k builders to adopt eval practice without ever writing a docs page about why they should.",
"color": 3,
"width": 580,
"height": 200
}
},
{
"id": "9058dd3b-1caf-4762-aac3-e460ca271886",
"name": "Sticky Note 7e13abde",
"type": "n8n-nodes-base.stickyNote",
"typeVersion": 1,
"position": [
970,
-18
],
"parameters": {
"content": "## Why this is a ten-year moat and not a feature\n\nAnyone can host templates. **Only n8n can grade them**, because only n8n sees the executions - the failures, the retries, the cost curves, the injection attempts, across every install of every template.\n\nThat data exists today and is thrown away. Turn it into a public trust signal and the library stops being a gallery and becomes the thing enterprises are actually buying: **automation you can prove is safe to depend on.**",
"color": 5,
"width": 300,
"height": 376
}
}
],
"connections": {
"Rescore The Library Daily": {
"main": [
[
{
"node": "Pull The Signals Only n8n Can See",
"type": "main",
"index": 0
}
]
]
},
"Pull The Signals Only n8n Can See": {
"main": [
[
{
"node": "Compute The Trust Score",
"type": "main",
"index": 0
}
]
]
},
"Compute The Trust Score": {
"main": [
[
{
"node": "How Bad Is The Library",
"type": "main",
"index": 0
}
]
]
},
"How Bad Is The Library": {
"main": [
[
{
"node": "DELIST: Too Many Templates Below The Bar",
"type": "main",
"index": 0
}
],
[
{
"node": "BADGE: Publish Grades And Notify Authors",
"type": "main",
"index": 0
}
],
[
{
"node": "HEALTHY: Publish The Ledger",
"type": "main",
"index": 0
}
]
]
}
},
"settings": {
"executionOrder": "v1"
}
}
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Trust Ledger. Scheduled trigger; 10 nodes.
Source: https://github.com/User0394934/trust-loop/blob/main/workflows/trust-ledger.json — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
This workflow runs daily to pull recent Etsy receipts and payment-account ledger entries via a linked sub-workflow, then aggregates sales metrics by currency and fee totals by ledger type and outputs
EVEZ Groq Engine — llama-3.3-70b — FREE 24/7. Uses errorTrigger. Scheduled trigger; 9 nodes.
Error Trigger
This template sets up a weekly ETL (Extract, Transform, Load) pipeline that pulls financial data from QuickBooks Online into Google BigQuery. It not only transfers data, but also cleans, classifies, a
QuickBooks, Google BigQuery
This workflow automates the process of recording successful payments from Stripe into QuickBooks by creating corresponding Sales Receipts. It ensures payment data is captured accurately, checks whethe
QuickBooks, Stripe
This automation manages Stripe disputes by fetching dispute data, formatting it, logging it into Google Sheets, updating related payment records, and notifying the customer via email. It ensures finan
HTTP Request, Google Sheets, Gmail