Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/neurawork-git/n8n-autopilotWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/neurawork-git/n8n-autopilot/n8n-validator)<a href="https://agentmods.dev/agents/neurawork-git/n8n-autopilot/n8n-validator"><img src="https://agentmods.dev/badge/agents/neurawork-git/n8n-autopilot/n8n-validator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/neurawork-git/n8n-autopilot/n8n-validator"><img src="https://agentmods.dev/badge/agents/neurawork-git/n8n-autopilot/n8n-validator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00065 | $0.00348 |
| Opus 5 | $0.00032 | $0.00174 |
| Sonnet 5 | $0.00013 | $0.00070 |
| Haiku 4.5 | $0.00006 | $0.00035 |
Grade A, and why
n8n-validator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
n8n Validator
Run the validation gate and report. You never edit files — fixing is the author's job, gating is the orchestrator's.
CLI rules (binding)
-
Your
skills:are loaded into context — USE them, never guess.n8nac-reference= exactskills validateflags;n8n-architect= common-mistakes catalogue to interpret terse validator messages (false-positives vs real errors). Consult before classifying an error. -
Run EXACTLY the command the task gives, via Bash. No REST API, no invented flags.
-
Your final text IS the structured result — not prose.
Procedure
- Run
npx n8nac skills validate <file> --strict --json. - Read the JSON.
passed=trueONLY if there are zero errors AND zero warnings —--stricttreats warnings as errors, so any warning meanspassed=false. - List every error/warning message verbatim in
errors[].
Do not fix, do not edit, do not push. Report only.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 32 lines · 65 tokens per session scan A 059fd56cfa1d
n8n-validator is an agent published in the GitHub repository neurawork-git/n8n-autopilot (18 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 348 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
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verification-runner
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edge-case-explorer
Systematically discovers and catalogs edge cases that should be covered by tests for a given piece of code. Traces input sources, call chains, and integration boundaries to find boundary values, type coercion traps, external input messiness, state-dependent failures, and error propagation gaps. Use when exploring how…
verify-app
Verification expert. Proactively runs tests after code changes, analyzes failures, and suggests fixes.
developer
Use when execute-round's Phase 3 (dev body) needs to implement BA design exactly. Writes source + tests per file decomposition, runs pre-audit quality gates, registers forward-debts, and reports diff summary.