Detect GitHub Actions supply-chain risks with Gemini and Slack
n8n-workflow-20291.n8n.io
· n8n.io
Quick Overview This workflow runs daily to scan GitHub Actions workflow files across a GitHub org or user, flags supply-chain risk patterns and unpinned actions, uses Google Gemini to review new or changed workflows, and posts instant alerts plus a daily security digest to Slack while tracking results in an n8n Data Table. How it works 1. Runs every day at 7:00 AM on a schedule. 2. Creates (if missing) and loads an n8n Data Table baseline of previously scanned workflow files and their last known SHAs. 3. Uses the GitHub REST and Contents APIs to list repositories, enumerate .github/workflows files, and keep only YAML workflow files. 4. Compares each workflow file’s current SHA to the stored inventory to process only new or changed files and keep previous results for unchanged files. 5. Downloads changed workflow files, performs rule-based checks for common GitHub Actions attack patterns, and uses GitHub GraphQL to resolve commit SHAs for unpinned uses: references to provide ready-to-pa
n8n-workflow-20291.n8n.io via a single DNS TXT record to add the
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F
Conformance score: 19/100
F-grade: card is reachable but fails most operational signals.
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agent-card.json changed within the last 7 days. We track these so downstream callers can react.
Activity (audit trail)
last 24h · 0 invocations Public aggregate · no PII recordedNothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.
Endpoints
| Agent card | https://n8n.io/workflows/20291 |
| Provider | https://n8n.io |
| Docs | https://n8n.io/workflows/20291 |
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Raw agent card JSON
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},
"displayName": "Code",
"typeVersion": 2,
"nodeCategories": [
{
"id": 5,
"name": "Development"
},
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 839,
"icon": "fa:clock",
"name": "n8n-nodes-base.scheduleTrigger",
"codex": {
"data": {
"alias": [
"Time",
"Scheduler",
"Polling",
"Cron",
"Interval"
],
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0"
}
},
"group": "[\"trigger\",\"schedule\"]",
"defaults": {
"name": "Schedule Trigger",
"color": "#31C49F"
},
"iconData": {
"icon": "clock",
"type": "icon"
},
"displayName": "Schedule Trigger",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 844,
"icon": "fa:filter",
"name": "n8n-nodes-base.filter",
"codex": {
"data": {
"alias": [
"Router",
"Filter",
"Condition",
"Logic",
"Boolean",
"Branch"
],
"details": "The Filter node can be used to filter items based on a condition. If the condition is met, the item will be passed on to the next node. If the condition is not met, the item will be omitted. Conditions can be combined together by AND(meet all conditions), or OR(meet at least one condition).",
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.filter/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Flow",
"Data Transformation"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Filter",
"color": "#229eff"
},
"iconData": {
"icon": "filter",
"type": "icon"
},
"displayName": "Filter",
"typeVersion": 2,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 1123,
"icon": "fa:link",
"name": "@n8n/n8n-nodes-langchain.chainLlm",
"codex": {
"data": {
"alias": [
"LangChain"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Chains",
"Root Nodes"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Basic LLM Chain",
"color": "#909298"
},
"iconData": {
"icon": "link",
"type": "icon"
},
"displayName": "Basic LLM Chain",
"typeVersion": 2,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1179,
"icon": "fa:code",
"name": "@n8n/n8n-nodes-langchain.outputParserStructured",
"codex": {
"data": {
"alias": [
"json",
"zod"
],
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Output Parsers"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Structured Output Parser"
},
"iconData": {
"icon": "code",
"type": "icon"
},
"displayName": "Structured Output Parser",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1237,
"icon": "file:limit.svg",
"name": "n8n-nodes-base.limit",
"codex": {
"data": {
"alias": [
"Limit",
"Remove",
"Slice",
"Transform",
"Array",
"List",
"Item"
],
"details": "",
"resources": {
"generic": [],
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.limit/"
}
]
},
"categories": [
"Core Nodes"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Data Transformation"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Limit"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "Limit",
"typeVersion": 1,
"nodeCategories": [
{
"id": 9,
"name": "Core Nodes"
}
]
},
{
"id": 1262,
"icon": "file:google.svg",
"name": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"codex": {
"data": {
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatgooglegemini/"
}
]
},
"categories": [
"AI",
"Langchain"
],
"subcategories": {
"AI": [
"Language Models",
"Root Nodes"
],
"Language Models": [
"Chat Models (Recommended)"
]
}
}
},
"group": "[\"transform\"]",
"defaults": {
"name": "Google Gemini Chat Model"
},
"iconData": {
"type": "file",
"fileBuffer": "data:image/svg+xml;base64,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"
},
"displayName": "Google Gemini Chat Model",
"typeVersion": 1,
"nodeCategories": [
{
"id": 25,
"name": "AI"
},
{
"id": 26,
"name": "Langchain"
}
]
},
{
"id": 1315,
"icon": "fa:table",
"name": "n8n-nodes-base.dataTable",
"codex": {
"data": {
"alias": [
"data",
"table",
"knowledge",
"data table",
"table",
"sheet",
"database",
"data base",
"mysql",
"postgres",
"postgresql",
"airtable",
"supabase",
"noco",
"notion"
],
"details": "Data table",
"resources": {
"primaryDocumentation": [
{
"url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.datatable/"
}
]
},
"categories": [
"Core Nodes",
"Development"
],
"nodeVersion": "1.0",
"codexVersion": "1.0",
"subcategories": {
"Core Nodes": [
"Helpers"
]
}
}
},
"group": "[\"input\",\"transform\"]",
"defaults": {
"name": "Data table"
},
"iconData": {
"icon": "table",
"type": "icon"
},
"displayName": "Data table",
"typeVersion": 1,
"nodeCategories": [
{
"id": 5,
"name": "Development"
},
{
"id": 9,
"name": "Core Nodes"
}
]
}
]
},
"detail": {
"description": "Quick Overview This workflow runs daily to scan GitHub Actions workflow files across a GitHub org or user, flags supply-chain risk patterns and unpinned actions, uses Google Gemini to review new or changed workflows, and posts instant alerts plus a daily security digest to Slack while tracking results in an n8n Data Table. How it works 1. Runs every day at 7:00 AM on a schedule. 2. Creates (if missing) and loads an n8n Data Table baseline of previously scanned workflow files and their last known SHAs. 3. Uses the GitHub REST and Contents APIs to list repositories, enumerate .github/workflows files, and keep only YAML workflow files. 4. Compares each workflow file\u2019s current SHA to the stored inventory to process only new or changed files and keep previous results for unchanged files. 5. Downloads changed workflow files, performs rule-based checks for common GitHub Actions attack patterns, and uses GitHub GraphQL to resolve commit SHAs for unpinned uses: references to provide ready-to-paste pinning suggestions. 6. Sends the highest-risk changed workflows (up to the configured limit) to Google Gemini for a structured security verdict and posts an immediate Slack alert when the verdict is malicious/suspicious or rule checks include critical findings. 7. Upserts scan results back into the Data Table, has Google Gemini generate a short daily digest from the scan statistics, posts the digest to Slack, and optionally creates GitHub issues for serious findings in private repositories. Setup 1. Add a GitHub credential (personal access token) with Contents/Metadata read access (and Issues write access if you enable issue creation) and select it for the GitHub and GitHub HTTP Request steps. 2. Add a Google Gemini API key credential and connect it to both Gemini chat model steps used for file review and for the daily digest. 3. Add a Slack credential and set the target channel (default #security-alerts) for the instant alert and daily digest messages. 4. Update the Settings values (at least githubowner and ownertype, plus any optional filters and limits like reponamefilter, maxrepositories, and maxaireviews). 5. Run the workflow once to create/populate the ghasecurityinventory Data Table baseline, then activate it to scan automatically on the schedule."
}
}