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 AutomateLab-tech/citation-intelligencenpx agentmods add plugins/automatelab-tech/citation-intelligence/citation-intelligencegit clone --depth 1 https://github.com/AutomateLab-tech/citation-intelligenceGrade A, and why
citation-intelligence 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 2d 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
{
"description": "Track which URLs Perplexity, Claude, ChatGPT, Gemini, Google AI Overviews, and Bing cite for any query. 12 tools across citations, domain, signals, competitors, panel, and audit namespaces. Self-hosted, BYO API keys.",
"name": "citation-intelligence",
"displayName": "AutomateLab Citation Intelligence MCP"
}
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.
- 2d ago First seen · 6 lines scan A 179ed1af923d
citation-intelligence is a plugin published in the GitHub repository AutomateLab-tech/citation-intelligence (8 stars, last pushed 2mo 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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