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/stuinfla/ruvnet-brainWrote 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/plugins/stuinfla/ruvnet-brain/plugin)<a href="https://agentmods.dev/plugins/stuinfla/ruvnet-brain/plugin"><img src="https://agentmods.dev/badge/plugins/stuinfla/ruvnet-brain/plugin/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/plugins/stuinfla/ruvnet-brain/plugin"><img src="https://agentmods.dev/badge/plugins/stuinfla/ruvnet-brain/plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
ruvnet-brain 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 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.
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.
The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
What it installs
The manifest is a name and a version. 10 skills, 9 commands travel with it, and installing the plugin installs all of them — 1,704 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill ruvnet-brain A 291 tokens
- Skill brain-build A 158 tokens
- Skill release-proof A 95 tokens
- Skill savings A 118 tokens
- Skill brain-console A 91 tokens
- Skill rnbc A 91 tokens
- Skill rvbc A 94 tokens
- Skill whats-new A 73 tokens
- Skill brain-score B 138 tokens
- Skill brain-prompt B 0 tokens
- Command whats-new A 54 tokens
- Command checkpoint A 72 tokens
- Command rnb-brief A 62 tokens
- Command brain-console B 63 tokens
- Command configure B 58 tokens
- Command rnb B 56 tokens
- Command rnbc B 69 tokens
- Command rvbc B 64 tokens
- Command rvcb B 57 tokens
What ships with it
1 file beside plugin.json 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.
- today Changed 42992888671b
- yesterday Changed 4619a85ec0d8
- 2d ago Changed 5f0182eadaed
- 4d ago Changed 9402e2a09cb5
- 5d ago Changed b11a00788a4d
- 8d ago Changed 91da90ce0cc5
- 9d ago Changed 303fc7ef26fc
- 10d ago Changed 58e2965b9f55
- 11d ago Changed f99f834e28ad
- 12d ago First seen · 23 lines scan A 51eb6b5564c6
ruvnet-brain is a plugin published in the GitHub repository stuinfla/ruvnet-brain (74 stars, last pushed today), with no licence file. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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