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 TheAiSingularity/agentic-research-engine-ossnpx agentmods add plugins/theaisingularity/agentic-research-engine-oss/claude_plugingit clone --depth 1 https://github.com/TheAiSingularity/agentic-research-engine-ossGrade A, and why
agentic-research 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
{
"name": "agentic-research",
"displayName": "Agentic Research — local, verified, open-source",
"version": "0.1.3",
"description": "Research agent that verifies its own answers with full source citations, optional local corpus, and zero cloud dependency. Runs on Gemma 3 4B via Ollama or any OpenAI-compatible endpoint. Every LLM call, source, and verification decision is visible. No telemetry.",
"homepage": "https://github.com/TheAiSingularity/agentic-research-engine-oss",
"repository": "https://github.com/TheAiSingularity/agentic-research-engine-oss",
"author": {
"name": "TheAiSingularity"
},
"license": "MIT",
"keywords": [
"research", "rag", "local", "ollama", "searxng", "verification",
"cove", "citations", "agentic", "open-source", "mcp"
],
"skills": [
"skills/research.md",
"skills/cite-sources.md",
"skills/verify-claim.md",
"skills/set-domain.md"
],
"mcpServers": {
"engine": {
"command": "agentic-research-mcp",
"args": [],
"env": {
"OPENAI_BASE_URL": "http://localhost:11434/v1",
"OPENAI_API_KEY": "ollama",
"MODEL_PLANNER": "gemma3:4b",
"MODEL_SEARCHER": "gemma3:4b",
"MODEL_SYNTHESIZER": "gemma3:4b",
"MODEL_VERIFIER": "gemma3:4b",
"MODEL_CRITIC": "gemma3:4b",
"MODEL_ROUTER": "gemma3:4b",
"MODEL_COMPRESSOR": "gemma3:4b",
"EMBED_MODEL": "nomic-embed-text",
"SEARXNG_URL": "http://localhost:8888"
}
}
}
}
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 · 42 lines scan A 7da3c2ac9464
agentic-research is a plugin published in the GitHub repository TheAiSingularity/agentic-research-engine-oss (1 stars, last pushed 4mo 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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