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.
/plugin marketplace add dodobrands/ai-hubnpx agentmods add plugins/dodobrands/ai-hub/ai-hubgit clone --depth 1 https://github.com/dodobrands/ai-hubWrote 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/dodobrands/ai-hub/ai-hub)<a href="https://agentmods.dev/plugins/dodobrands/ai-hub/ai-hub"><img src="https://agentmods.dev/badge/plugins/dodobrands/ai-hub/ai-hub.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
ai-hub 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 5d 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
{
"name": "ai-hub",
"version": "1.14.7",
"description": "AI skills and integrations with Kaiten, Time, Buildin, Genie, Holst, Kusto, TestOps + automation workflows (spike research, product discovery, testing, code review)",
"author": {
"name": "sagos95"
},
"repository": "https://github.com/dodobrands/ai-hub",
"license": "MIT",
"keywords": [
"kaiten",
"mattermost",
"buildin",
"spike-research",
"product-discovery",
"test-generation",
"reverse-engineering",
"code-review",
"kusto",
"azure-data-explorer"
]
}
What it installs
The manifest is a name and a version. 21 commands, 1 hook, 8 plugins travel with it, and installing the plugin installs all of them — 0 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Command rpa-analyze A 0 tokens
- Command buildin-bot-read A 0 tokens
- Command buildin-login A 0 tokens
- Command code-review A 0 tokens
- Command create-command A 0 tokens
- Command spike-from-meeting A 0 tokens
- Command update-ai-hub A 0 tokens
- Command ai-test A 0 tokens
- Command buildin-publish A 0 tokens
- Command buildin-read A 0 tokens
- Command discovery A 0 tokens
- Command holst-export A 0 tokens
- Command holst-write A 0 tokens
- Command kaiten-board A 0 tokens
- Command kaiten-card A 0 tokens
- Command kusto-query A 0 tokens
- Command retro A 0 tokens
- Command setup A 0 tokens
- Command spike A 0 tokens
- Command time-chat A 0 tokens
- Command time-login A 0 tokens
- Hook PreToolUse A not measured
- Plugin discovery 12 inside A not measured
- Plugin buildin 2 inside A not measured
- Plugin code-review 4 inside A not measured
- Plugin reverse-product-analysis 10 inside A not measured
- Plugin test-factory 2 inside A not measured
- Plugin testops 1 inside A not measured
- Plugin time 1 inside A not measured
- Plugin spike 3 inside A not measured
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.
- 5d ago First seen · 23 lines scan A 8106243755c4
ai-hub is a plugin published in the GitHub repository dodobrands/ai-hub (6 stars, last pushed 4d ago), licensed MIT. 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 2026-08-31.
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