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.
npx skills add Nevaberry/nevaberry-plugins --skill cloud-init-knowledge-patchgit clone --depth 1 https://github.com/Nevaberry/nevaberry-pluginsWrote 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/nevaberry/nevaberry-plugins/cloud-init-knowledge-patch)<a href="https://agentmods.dev/skills/nevaberry/nevaberry-plugins/cloud-init-knowledge-patch"><img src="https://agentmods.dev/badge/skills/nevaberry/nevaberry-plugins/cloud-init-knowledge-patch/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/nevaberry/nevaberry-plugins/cloud-init-knowledge-patch"><img src="https://agentmods.dev/badge/skills/nevaberry/nevaberry-plugins/cloud-init-knowledge-patch.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 | $0.00009 | $0.01830 |
| Opus 5.5 | $0.00004 | $0.00732 |
| Sonnet 5.5 | $0.00002 | $0.00366 |
| Haiku 4.5 | $0.00001 | $0.00183 |
Grade A, and why
cloud-init-knowledge-patch 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
cloud-init Knowledge Patch
Use this skill when changing cloud-init networking, datasource detection, packaging, service integration, distribution support, templating, platform detection, or reporting consumers. Start with the compatibility checks below, then load the topic reference that matches the work.
Reference index
| Reference | Topics |
|---|---|
| networking-and-datasources.md | Network v1 devices, route metrics, OpenStack bond names and identity, Azure controls, OpenNebula, Scaleway |
| packaging-runtime-and-services.md | Installation layout, Meson migration, systemd overrides, Python support, Jinja, mounts, boot analysis |
| platforms-and-reporting.md | Distribution modules and defaults, platform detection, Raspberry Pi, CloudStack, Oracle, finish-event duration |
How to apply this patch
- Establish the datasource identity before debugging metadata networking on a non-x86 system.
- Audit package manifests, custom systemd units, and runtime selection when moving an older downstream integration forward.
- Treat renderer features separately from datasource detection: support for a device or route setting does not establish the cloud platform.
- Test custom Jinja templates against the sandbox before shipping an image.
- Check platform-specific defaults before adding generic fallback networking, mirror configuration, or separate module bootstrapping.
- Keep reporting duration and conventional exit status intact for callers that consume cloud-init results programmatically.
Breaking changes and migration checks
Non-x86 datasource identity is strict
Since 25.1.4, Ec2, OpenStack, and AltCloud systems without DMI do not fall back to probing link-local metadata after networking. Cloud-init remains disabled unless one of these identifies the datasource:
- DMI data
- a kernel
ds=override datasource_listconfiguration
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 227 lines · 9 tokens per session scan A cbceb565d054
cloud-init-knowledge-patch is a skill published in the GitHub repository Nevaberry/nevaberry-plugins (23 stars, last pushed 1mo ago), licensed MIT. It adds 9 tokens to every session and 1,830 once invoked, about $0.0000 per session on Opus 5.5. 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.
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