BF n8n-autopilot
AI-powered n8n workflow builder and deployer by Dr. FIRAS. Generates production-ready n8n workflow JSON from natural language, validates structure and logic, then auto-deploys to any n8n instance via REST API. Use this skill whenever the user wants to create, build, design, generate, deploy, or publish an n8n workflow — even from a plain description like "automate my Stripe payments to Slack". Also triggers when the user pastes n8n workflow JSON for review, debugging, optimization, or redeployment. Covers: workflow generation, structural validation, auto-deployment, activation, execution monitoring, and performance diagnostics. LinkedIn: https://www.linkedin.com/in/doctor-firass/
As a process F 57/100 · Will not run — References files that are not bundled: scripts/workflow_forge.py, references/node-catalog.md
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
How to improve
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 1
✓ No critical or high findings
Medium and low: 1
-
medium Exfiltration
net-redirectable-api-keyn8n_deploy.py:31Helper sends the API key to a host configured by an environment variable — the key can be redirected to another serverAPI key + configurable base URL from environment
Files scanned: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/workflow_forge.py - warning
missing-refreference to a missing file: references/node-catalog.md
Process rating: all ten parameters 57/100
- 0Tools and files. 2 referenced file(s) missing: scripts/workflow_forge.py, references/node-catalog.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 8 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 100Steps. 44 steps
- 100Failures and branches. 4 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2658 tokens
- low 13 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +1No license
- +2Single-language instructions
- +3Description length 688: enough signal without eating the budget
- +4Structure: 34 headings
- +3Step-by-step instructions: 44 items
- +3Output format is stated explicitly
- +4Has examples (16 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.