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A2A

Create faceless YouTube Shorts with OpenAI and Orshot for YouTube

n8n-workflow-20025.n8n.io · n8n.io

Quick overview This workflow runs daily at 9am to generate a faceless YouTube Short: OpenAI writes a 15-second script and metadata, Orshot creates a lip-synced AI presenter clip and renders it into a 9:16 template with captions, then the finished MP4 is uploaded to YouTube. How it works 1. Runs every day at 9am on a schedule. 2. Sets the niche, channel handle, Orshot template ID, presenter photo URL, voice ID, and YouTube upload settings. 3. Uses OpenAI to generate a Short package (topic, hook, 35–45 word script, stat, title, and description) as structured JSON. 4. Sends the script and presenter photo to Orshot to generate a synced 9:16 talking-presenter clip. 5. Renders the final Short in Orshot using your template, injecting the clip and text fields and generating subtitles from the clip audio. 6. Downloads the rendered MP4 and uploads it to YouTube as a Short with the generated title and description and your chosen privacy/region settings. Setup 1. Add an OpenAI credential and ensur

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Trust score
19/100
grade F · 9 criteria
Uptime
not measured
no direct probes in 30d
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
changed
0 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

F
Conformance score: 19/100
F-grade: card is reachable but fails most operational signals.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Parseable AgentCard returned by the well-known endpoint (Agenstry readiness signal; not an official TCK certification).
info Live JSON-RPC 0/25
Live probe hasn't run yet.
fail Protocol version 0/10
No protocolVersion in card.
How to earn +10 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` (Major.Minor, no patch number — §3.6) to every entry in `supportedInterfaces[]`. A2A v1.0 removed the AgentCard root field.
Docs →
info JWS signature 0/10
Card is unsigned (most published agents are).
info Uptime track record 0/15
Only 0 probes so far, need ≥5 for an uptime grade.
fail Skill declaration 0/10
No skills declared in card. Hard to route to.
How to earn +10 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags` — `description` and `tags` are REQUIRED on AgentSkill since A2A v1.0, and tags are what discovery filters match on. We canonicalise these into the global skill taxonomy on next probe.
Docs →
partial Verified Identity 5/10
Provider declared: n8n.io (https://n8n.io). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
info Security declaration 0/5
Neither securitySchemes nor securityRequirements declared — how to authenticate is unstated.
⚠ Card drift detected. This agent's 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 recorded

Nothing 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.

Uptime
not measured
0 direct probes · 30d
Response
—
no direct probe retained
Skills
0
declared
Streaming
—
SSE-capable

Endpoints

Agent cardhttps://n8n.io/workflows/20025
Providerhttps://n8n.io
Docshttps://n8n.io/workflows/20025
Discovered via
n8n_workflows

Health · last 0 probes

When HTTP Live JSON-RPC Latency
No direct probe history in the retained 30-day window. Upstream catalogue observations do not count as uptime probes.

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Audit-grade evidence bundle

JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against our JWKS. See the methodology.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON
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      "username": "orshot",
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                {
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                  "label": "Benefits of automation and n8n: An interview with HubSpot's Hugh Durkin"
                },
                {
                  "url": "https://n8n.io/blog/how-goomer-automated-their-operations-with-over-200-n8n-workflows/",
                  "icon": "\ud83d\udef5",
                  "label": "How Goomer automated their operations with over 200 n8n workflows"
                },
                {
                  "url": "https://n8n.io/blog/aws-workflow-automation/",
                  "label": "7 no-code workflow automations for Amazon Web Services"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Edit Fields"
        },
        "iconData": {
          "icon": "pen",
          "type": "icon"
        },
        "displayName": "Edit Fields (Set)",
        "typeVersion": 3,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 357,
        "icon": "file:youTube.png",
        "name": "n8n-nodes-base.youTube",
        "codex": {
          "data": {
            "resources": {
              "generic": [
                {
                  "url": "https://n8n.io/blog/using-automation-to-boost-productivity-in-the-workplace/",
                  "icon": "\ud83d\udcaa",
                  "label": "Using Automation to Boost Productivity in the Workplace"
                }
              ],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.youtube/"
                }
              ],
              "credentialDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/"
                }
              ]
            },
            "categories": [
              "Marketing"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0"
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "YouTube"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/png;base64,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"
        },
        "displayName": "YouTube",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 27,
            "name": "Marketing"
          }
        ]
      },
      {
        "id": 565,
        "icon": "fa:sticky-note",
        "name": "n8n-nodes-base.stickyNote",
        "codex": {
          "data": {
            "alias": [
              "Comments",
              "Notes",
              "Sticky"
            ],
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Helpers"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Sticky Note",
          "color": "#FFD233"
        },
        "iconData": {
          "icon": "sticky-note",
          "type": "icon"
        },
        "displayName": "Sticky Note",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "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": 1250,
        "icon": "file:openAi.svg",
        "name": "@n8n/n8n-nodes-langchain.openAi",
        "codex": {
          "data": {
            "alias": [
              "LangChain",
              "ChatGPT",
              "Sora",
              "DallE",
              "whisper",
              "audio",
              "transcribe",
              "tts",
              "assistant"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-langchain.openai/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Agents",
                "Miscellaneous",
                "Root Nodes"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "OpenAI"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "OpenAI",
        "typeVersion": 2,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ]
  },
  "detail": {
    "description": "Quick overview This workflow runs daily at 9am to generate a faceless YouTube Short: OpenAI writes a 15-second script and metadata, Orshot creates a lip-synced AI presenter clip and renders it into a 9:16 template with captions, then the finished MP4 is uploaded to YouTube. How it works 1. Runs every day at 9am on a schedule. 2. Sets the niche, channel handle, Orshot template ID, presenter photo URL, voice ID, and YouTube upload settings. 3. Uses OpenAI to generate a Short package (topic, hook, 35\u201345 word script, stat, title, and description) as structured JSON. 4. Sends the script and presenter photo to Orshot to generate a synced 9:16 talking-presenter clip. 5. Renders the final Short in Orshot using your template, injecting the clip and text fields and generating subtitles from the clip audio. 6. Downloads the rendered MP4 and uploads it to YouTube as a Short with the generated title and description and your chosen privacy/region settings. Setup 1. Add an OpenAI credential and ensure the model selected in the OpenAI step is available for your account. 2. Create an Orshot account, generate an Orshot API key, add it as an Orshot credential in n8n, and set your Orshot template ID and presenter photo URL in the configuration values. 3. Add a YouTube (Google) OAuth credential with YouTube Data API access, then set your desired privacy status and region code in the configuration values. 4. Full guide with the template to copy: https://orshot.com/blog/how-to-make-faceless-videos-with-n8n Requirements - Orshot account on a paid plan (AI video is paid-only); the Orshot node is verified, so it runs on n8n Cloud - OpenAI API key (OpenAI credentials in n8n) - YouTube channel with YouTube Data API access via Google credentials in n8n Customization - Swap the schedule for a Google Sheets trigger to render one Short per row - Change the photo and voice in Configure for a different presenter - Set privacy to public once you trust the output Additional info Full guide: Automate faceless videos with n8n More Video API controls: Orshot video API"
  }
}