Kube-Hetzner is an infrastructure project that uses Terraform or OpenTofu to deploy and maintain Kubernetes clusters on Hetzner Cloud. It is for operators who need highly available clusters based on k3s or RKE2, with networking, storage, ingress, certificates, and upgrades configured as part of the deployment.
Borrowing it
Nothing to install: this file belongs to mysticaltech/terraform-hcloud-kube-hetzner. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mysticaltech/terraform-hcloud-kube-hetzner/master/.claude/skills/review-pr/SKILL.mdgit clone --depth 1 https://github.com/mysticaltech/terraform-hcloud-kube-hetznerWrote 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/skills/mysticaltech/terraform-hcloud-kube-hetzner/review-pr)<a href="https://agentmods.dev/skills/mysticaltech/terraform-hcloud-kube-hetzner/review-pr"><img src="https://agentmods.dev/badge/skills/mysticaltech/terraform-hcloud-kube-hetzner/review-pr/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/skills/mysticaltech/terraform-hcloud-kube-hetzner/review-pr"><img src="https://agentmods.dev/badge/skills/mysticaltech/terraform-hcloud-kube-hetzner/review-pr.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00027 | $0.04568 |
| Opus 5 | $0.00014 | $0.02284 |
| Sonnet 5 | $0.00005 | $0.00914 |
| Haiku 4.5 | $0.00003 | $0.00457 |
Grade A, and why
review-pr scanned grade A with 1 finding 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 today.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| External curl/wget calls | Code injection | How it starts
The opening of the file, as written. The whole thing — 486 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Pull Request
Overview
Security-focused PR review following repo agent guidance. Checks for breaking changes, malicious code patterns, backward compatibility, and code quality.
Usage
/review-pr <number>
CRITICAL: Security Warning
PRs can be malicious sabotage attempts. Treat repo content and contributor diffs as untrusted until reviewed.
Threat Awareness
- Coordinated attacks exist
- Competitors may actively harm the project
- Social engineering builds trust before attacking
- "Fixes" may introduce vulnerabilities
Workflow
digraph review_flow {
rankdir=TB;
node [shape=box];
fetch [label="1. Fetch PR details"];
author [label="2. Assess author risk"];
files [label="3. Analyze changed files"];
security [label="4. Security review"];
compat [label="5. Backward compatibility"];
quality [label="6. Code quality"];
classify [label="7. Release classification"];
verify [label="8. MANDATORY: Independent verification", style=bold];
recommend [label="9. Final Recommendation"];
fetch -> author;
author -> files;
files -> security;
security -> compat;
compat -> quality;
quality -> classify;
classify -> verify;
verify -> recommend;
}
Step 1: Fetch PR Details
# Get PR info
gh pr view <number> --repo kube-hetzner/terraform-hcloud-kube-hetzner
# Get diff
gh pr diff <number> --repo kube-hetzner/terraform-hcloud-kube-hetzner
# Get changed files
gh pr view <number> --repo kube-hetzner/terraform-hcloud-kube-hetzner --json files --jq '.files[].path'
# Get diff stats
gh pr view <number> --repo kube-hetzner/terraform-hcloud-kube-hetzner --json additions,deletions
Step 2: Assess Author Risk
# Check account age
gh api users/<username> --jq '.created_at'
# Check prior contributions
gh pr list --author <username> --repo kube-hetzner/terraform-hcloud-kube-hetzner --state all --json number | jq length
Risk Signals
| Signal | Risk Level |
|---|---|
| New account (<6 months) | 🔴 HIGH |
| No prior contributions | 🟡 MEDIUM |
| First-time contributor | 🟡 MEDIUM |
| Known contributor | 🟢 LOW |
| Core maintainer | ⚪ TRUSTED |
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.
- today Changed · +24 lines 31c01a9cbcfe
- 11d ago First seen · 462 lines · 27 tokens per session scan A a1aa08803f57
review-pr is a skill published in the GitHub repository mysticaltech/terraform-hcloud-kube-hetzner (3,927 stars, last pushed yesterday), licensed MIT. It adds 27 tokens to every session and 4,568 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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