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BF n8n-code-python

Write Python code in n8n Code nodes. Use when writing Python in n8n, using _input/_json/_node syntax, working with standard library, or need to understand Python limitations in n8n Code nodes.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 4 398 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Write Python code in n8n Code nodes.

As a process F 34/100 · Will not run — References files that are not bundled: DATA_ACCESS.md, ERROR_PATTERNS.md, STANDARD_LIBRARY.md

GeneratorZapierSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
87/100
safety, quality, tests
Safety 60%
100
Quality 40%
68
Run on models
none yet
Process rating
F
34/100
Will not run
References files that are not bundled: DATA_ACCESS.md, ERROR_PATTERNS.md, STANDARD_LIBRARY.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • 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 · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: DATA_ACCESS.md
  • warning missing-ref reference to a missing file: ERROR_PATTERNS.md
  • warning missing-ref reference to a missing file: STANDARD_LIBRARY.md
  • warning missing-ref reference to a missing file: COMMON_PATTERNS.md
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "risk"

Process rating: all ten parameters 34/100

Will not run. References files that are not bundled: DATA_ACCESS.md, ERROR_PATTERNS.md, STANDARD_LIBRARY.md
  • 0Tools and files. 4 referenced file(s) missing: DATA_ACCESS.md, ERROR_PATTERNS.md, STANDARD_LIBRARY.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 1 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 70Execution cost. Instruction body is 4398 tokens
  • 85Steps. 81 steps, 3 vague phrases
  • 100Consistency. Name and required fields are in place
  • low 16 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)
  • +3Output format is not stated: the model decides each time
  • -220 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 192: enough signal without eating the budget
  • +4Structure: 53 headings
  • +3Step-by-step instructions: 81 items
  • +4Has examples (30 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.