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/minihellboy/factorminerWrote 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/minihellboy/factorminer/plugin)<a href="https://agentmods.dev/plugins/minihellboy/factorminer/plugin"><img src="https://agentmods.dev/badge/plugins/minihellboy/factorminer/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/minihellboy/factorminer/plugin"><img src="https://agentmods.dev/badge/plugins/minihellboy/factorminer/plugin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
factor-researcher 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.
What it actually says
{
"name": "factor-researcher",
"version": "0.1.0",
"description": "Mine, evaluate, backtest, benchmark, and report on quantitative alpha factors with the FactorMiner research engine",
"author": {
"name": "FactorMiner Team"
}
}
What it installs
The manifest is a name and a version. 7 skills, 7 commands, 1 agent, 12 MCP servers travel with it, and installing the plugin installs all of them — 835 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill factor-data A 98 tokens
- Skill factor-mining A 91 tokens
- Skill research-ingestion A 121 tokens
- Skill factor-backtest A 88 tokens
- Skill factor-benchmark A 79 tokens
- Skill factor-evaluation A 90 tokens
- Skill factor-report A 80 tokens
- Command backtest A 12 tokens
- Command benchmark A 18 tokens
- Command evaluate A 16 tokens
- Command mine A 10 tokens
- Command report A 13 tokens
- Command screen A 9 tokens
- Command validate-data A 8 tokens
- Agent factor-researcher A 102 tokens
- MCP server factorminer A not measured
- MCP server lseg A not measured
- MCP server moodys A not measured
- MCP server morningstar A not measured
- MCP server mtnewswire A not measured
- MCP server pitchbook A not measured
- MCP server sp-global A not measured
- MCP server aiera A not measured
- MCP server chronograph A not measured
- MCP server egnyte A not measured
- MCP server factset A not measured
- MCP server daloopa A not measured
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 · 9 lines scan A df993a547c82
factor-researcher is a plugin published in the GitHub repository minihellboy/factorminer (123 stars, last pushed yesterday), 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 2026-08-30.
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